Download this notebook from github.

---

XSAR simple example

just open a dataset with xsar.open_dataset, and display denoised sigma0 in ‘VH’ polarisation

import xarray as xr
import xsar
import os

import holoviews as hv
hv.extension('bokeh')
from holoviews.operation.datashader import datashade,rasterize
import datashader as dh

/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/dask/dataframe/__init__.py:42: FutureWarning:
Dask dataframe query planning is disabled because dask-expr is not installed.

You can install it with `pip install dask[dataframe]` or `conda install dask`.
This will raise in a future version.

  warnings.warn(msg, FutureWarning)

Sentinel 1 Example

# get test file. You can replace with an path to other SAFE
filename = xsar.get_test_file('S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE')
filename

'/home1/scratch/agrouaze/xsardatasync/xsardata/S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE'

# open the datatree with xarray
dt_xsar = xsar.open_datatree(filename,resolution='100m')
dt_xsar

/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/numpy/_core/numeric.py:452: RuntimeWarning: invalid value encountered in cast
  multiarray.copyto(res, fill_value, casting='unsafe')

<xarray.DatasetView> Size: 0B
Dimensions:  ()
Data variables:
    *empty*
Attributes: (12/15)
    name:              SENTINEL1_DS:/home1/scratch/agrouaze/xsardatasync/xsar...
    short_name:        SENTINEL1_DS:S1A_IW_GRDH_1SDV_20170907T103020_20170907...
    product:           GRDH
    safe:              S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_01826...
    swath:             IW
    multidataset:      False
    ...                ...
    start_date:        2017-09-07 10:30:20.936409
    stop_date:         2017-09-07 10:30:45.935264
    footprint:         POLYGON ((-67.84221143971432 20.72564283093837, -70.22...
    coverage:          170km * 251km (line * sample )
    orbit_pass:        Descending
    platform_heading:  -167.7668824808032

datatree.DataTree

• Groups: (13)
  <xarray.DatasetView> Size: 950MB
  Dimensions:               (line: 1677, sample: 2518, pol: 2)
  Coordinates:
    * line                  (line) float64 13kB 4.5 14.5 ... 1.675e+04 1.676e+04
    * sample                (sample) float64 20kB 4.5 14.5 ... 2.516e+04 2.517e+04
    * pol                   (pol) object 16B 'VV' 'VH'
      spatial_ref           int64 8B 0
  Data variables: (12/27)
      digital_number        (pol, line, sample) uint16 17MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      time                  (line) datetime64[ns] 13kB 2017-09-07T10:30:20.9438...
      sampleSpacing         float64 8B 100.0
      lineSpacing           float64 8B 100.0
      gamma0_lut            (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      noise_lut_azi         (pol, line, sample) float32 34MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      ...                    ...
      sigma0_raw            (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      nesz                  (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      gamma0_raw            (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      negz                  (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      sigma0                (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
      gamma0                (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
  Attributes: (12/15)
      name:              SENTINEL1_DS:/home1/scratch/agrouaze/xsardatasync/xsar...
      short_name:        SENTINEL1_DS:S1A_IW_GRDH_1SDV_20170907T103020_20170907...
      product:           GRDH
      safe:              S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_01826...
      swath:             IW
      multidataset:      False
      ...                ...
      start_date:        2017-09-07 10:30:20.936409
      stop_date:         2017-09-07 10:30:45.935264
      footprint:         POLYGON ((-67.84221143971432 20.72564283093837, -70.22...
      coverage:          170km * 251km (line * sample )
      orbit_pass:        Descending
      platform_heading:  -167.7668824808032

  measurement

  • Groups: (0)
  • Dimensions:
    • line: 1677
    • sample: 2518
    • pol: 2
  • Coordinates: (4)
    • line
      (line)
      float64
      4.5 14.5 ... 1.675e+04 1.676e+04

      units :

      1

      comment :

      azimuth direction, in pixels from full resolution tiff

      axis :

      Y

      array([4.50000e+00, 1.45000e+01, 2.45000e+01, ..., 1.67445e+04, 1.67545e+04,
             1.67645e+04])

    • sample
      (sample)
      float64
      4.5 14.5 ... 2.516e+04 2.517e+04

      units :

      1

      comment :

      cross track direction, in pixels from full resolution tiff

      axis :

      X

      array([4.50000e+00, 1.45000e+01, 2.45000e+01, ..., 2.51545e+04, 2.51645e+04,
             2.51745e+04])

    • pol
      (pol)
      object
      'VV' 'VH'

      comment :

      ordered polarizations (copol, crosspol)

      array(['VV', 'VH'], dtype=object)

    • spatial_ref
      ()
      int64
      0

      crs_wkt :

      GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]

      semi_major_axis :

      6378137.0

      semi_minor_axis :

      6356752.314245179

      inverse_flattening :

      298.257223563

      reference_ellipsoid_name :

      WGS 84

      longitude_of_prime_meridian :

      0.0

      prime_meridian_name :

      Greenwich

      geographic_crs_name :

      WGS 84

      horizontal_datum_name :

      World Geodetic System 1984

      grid_mapping_name :

      latitude_longitude

      spatial_ref :

      GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]

      gcps :

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"properties": {"id": "49cdff34-a2e6-4cd8-af16-ec1e3f8115a5", "info": null, "row": 1512, "col": 2268}, "geometry": {"type": "Point", "coordinates": [-70.2506774973796, 19.748121177588775, 0]}}, {"type": "Feature", "properties": {"id": "4cd021e8-48c8-470c-8373-37558ec2e3c0", "info": null, "row": 1512, "col": 2394}, "geometry": {"type": "Point", "coordinates": [-70.36891475932065, 19.768720627712575, 0]}}, {"type": "Feature", "properties": {"id": "b314af4b-875b-4963-9eea-e4ea9da36baa", "info": null, "row": 1596, "col": 0}, "geometry": {"type": "Point", "coordinates": [-68.14345858466166, 19.28846718656286, 0]}}, {"type": "Feature", "properties": {"id": "3fc80fe9-54b7-4da3-977e-5428d3efc907", "info": null, "row": 1596, "col": 126}, "geometry": {"type": "Point", "coordinates": [-68.26108322607789, 19.310458998793052, 0]}}, {"type": "Feature", "properties": {"id": "74b37d43-c371-45b0-8feb-c71be3de760b", "info": null, "row": 1596, "col": 252}, "geometry": {"type": "Point", "coordinates": [-68.37873933881309, 19.332375026117113, 0]}}, {"type": "Feature", "properties": {"id": "f9233140-a608-4c58-82cc-152e726c43f9", "info": null, "row": 1596, "col": 378}, "geometry": {"type": "Point", "coordinates": [-68.49642665303655, 19.354215118569353, 0]}}, {"type": "Feature", "properties": {"id": "57daa614-49d0-4273-a3a8-abb07d4a72c8", "info": null, "row": 1596, "col": 504}, "geometry": {"type": "Point", "coordinates": [-68.61414517909093, 19.375979178861062, 0]}}, {"type": "Feature", "properties": {"id": "fe4a4c3d-79b0-4f10-b3a3-ee351cbe6377", "info": null, "row": 1596, "col": 630}, "geometry": {"type": "Point", "coordinates": [-68.73189497293063, 19.397667118275812, 0]}}, {"type": "Feature", "properties": {"id": "d9772a64-ff09-449e-98de-00fdc6430ba8", "info": null, "row": 1596, "col": 756}, "geometry": {"type": "Point", "coordinates": [-68.84967603419888, 19.41927883783913, 0]}}, {"type": "Feature", "properties": {"id": "d2876932-2108-4d17-83cf-91766f2474d4", "info": null, "row": 1596, "col": 882}, "geometry": {"type": "Point", "coordinates": [-68.96748828493358, 19.440814224626894, 0]}}, {"type": "Feature", "properties": {"id": "9dbc1e71-2a24-4c7c-9aea-87fbb910c27a", "info": null, "row": 1596, "col": 1008}, "geometry": {"type": "Point", "coordinates": [-69.08533159111593, 19.462273155951472, 0]}}, {"type": "Feature", "properties": {"id": "eed5b64f-356f-41d5-91ec-5bac228d2418", "info": null, "row": 1596, "col": 1134}, "geometry": {"type": "Point", "coordinates": [-69.2032058003518, 19.483655506379627, 0]}}, {"type": "Feature", "properties": {"id": "597c3098-9548-4fd1-bd52-39fa638c798c", "info": null, "row": 1596, "col": 1260}, "geometry": {"type": "Point", "coordinates": [-69.32111077775423, 19.504961154268557, 0]}}, {"type": "Feature", "properties": {"id": "c2b1c7ac-a897-4e22-afe8-f2b828c3ba4d", "info": null, "row": 1596, "col": 1386}, "geometry": {"type": "Point", "coordinates": [-69.43904642918906, 19.526189985880904, 0]}}, {"type": "Feature", "properties": {"id": "0eb0cc2a-8358-453d-8ea8-27993feea68e", "info": null, "row": 1596, "col": 1512}, "geometry": {"type": "Point", "coordinates": [-69.55701270690616, 19.54734189624913, 0]}}, {"type": "Feature", "properties": {"id": "c5097f11-bbdb-46a5-b637-e0b36cca7756", "info": null, "row": 1596, "col": 1638}, "geometry": {"type": "Point", "coordinates": [-69.67500959752773, 19.568416786870436, 0]}}, {"type": "Feature", "properties": {"id": "62590e88-c98c-4cd9-b3e0-981e771fa0d4", "info": null, "row": 1596, "col": 1764}, "geometry": {"type": "Point", "coordinates": [-69.79303709665182, 19.589414561074502, 0]}}, {"type": "Feature", "properties": {"id": "d3106845-bc0f-4a1a-ba0c-063012735320", "info": null, "row": 1596, "col": 1890}, "geometry": {"type": "Point", "coordinates": [-69.91109517812691, 19.61033511855525, 0]}}, {"type": "Feature", "properties": {"id": "1c45556d-da50-4b78-837a-50d89c5ff540", "info": null, "row": 1596, "col": 2016}, "geometry": {"type": "Point", "coordinates": [-70.02918376949758, 19.631178351119303, 0]}}, {"type": "Feature", "properties": {"id": "3d8ddf8e-b413-479c-b468-c8983d999eab", "info": null, "row": 1596, "col": 2142}, "geometry": {"type": "Point", "coordinates": [-70.14730274831028, 19.651944142199298, 0]}}, {"type": "Feature", "properties": {"id": "94d50c84-af62-4345-8a7b-cd87036189ca", "info": null, "row": 1596, "col": 2268}, "geometry": {"type": "Point", "coordinates": [-70.265451976978, 19.672632373123704, 0]}}, {"type": "Feature", "properties": {"id": "6fa1296f-424e-4a72-8456-b6bc8f66e106", "info": null, "row": 1596, "col": 2394}, "geometry": {"type": "Point", "coordinates": [-70.38363139623996, 19.693242940907773, 0]}}]}

      array(0)

  • Data variables: (27)
    • digital_number
      (pol, line, sample)
      uint16
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      comment :

      denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

      history :

      digital_number: measurement/s1a-iw-grd-v*-20170907t103020-20170907t103045-018268-01eb76-00*.tiff

      Array Chunk Bytes 16.11 MiB 8.05 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 5 graph layers Data type uint16 numpy.ndarray

    • time
      (line)
      datetime64[ns]
      2017-09-07T10:30:20.943839488 .....

      description :

      azimuth times interpolated along line dimension at the middle of range dimension

      array(['2017-09-07T10:30:20.943839488', '2017-09-07T10:30:20.958740224',
             '2017-09-07T10:30:20.973640704', ...,
             '2017-09-07T10:30:45.887559936', '2017-09-07T10:30:45.902460416',
             '2017-09-07T10:30:45.917361152'], dtype='datetime64[ns]')

    • sampleSpacing
      ()
      float64
      100.0

      units :

      m

      referential :

      ground

      array(100.)

    • lineSpacing
      ()
      float64
      100.0

      units :

      m

      array(100.)

    • gamma0_lut
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float64 numpy.ndarray

    • noise_lut_azi
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath

      Array Chunk Bytes 32.22 MiB 16.11 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float32 numpy.ndarray

    • noise_lut_range
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

      Array Chunk Bytes 32.22 MiB 16.11 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float32 numpy.ndarray

    • sigma0_lut
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float64 numpy.ndarray

    • noise_lut
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

      Array Chunk Bytes 32.22 MiB 16.11 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 22 graph layers Data type float32 numpy.ndarray

    • ground_heading
      (line, sample)
      float32
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      comment :

      at ground level, computed from lon/lat in azimuth direction

      long_name :

      Platform heading (azimuth from North)

      units :

      Degrees

      Array Chunk Bytes 16.11 MiB 16.11 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float32 numpy.ndarray

    • land_mask
      (line, sample)
      int8
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      land_mask: cartopy.feature.NaturalEarthFeature land

      meaning :

      0: ocean , 1: land

      Array Chunk Bytes 4.03 MiB 4.03 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 3 graph layers Data type int8 numpy.ndarray

    • altitude
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      height: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/height

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • azimuth_time
      (line, sample)
      datetime64[ns]
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      azimuthTime: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/azimuthTime

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type datetime64[ns] numpy.ndarray

    • slant_range_time
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      slantRangeTime: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/slantRangeTime

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • incidence
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      incidenceAngle: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/incidenceAngle

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • elevation
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      elevationAngle: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/elevationAngle

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • longitude
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      longitude: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/longitude

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • latitude
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      history :

      latitude: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/latitude

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • offboresight
      (line, sample)
      float64
      dask.array<chunksize=(1677, 2518), meta=np.ndarray>

      Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • velocity
      (line)
      float64
      7.597e+03 7.597e+03 ... 7.598e+03

      array([7597.45195742, 7597.45206993, 7597.45218243, ..., 7597.62535865,
             7597.6254515 , 7597.62554434])

    • range_ground_spacing
      (sample)
      float64
      10.0 10.0 10.0 ... 10.0 10.0 10.0

      array([10., 10., 10., ..., 10., 10., 10.])

    • sigma0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      sigma0_raw: sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

      references :

      https://sentinel.esa.int/web/sentinel/radiometric-calibration-of-level-1-products

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 22 graph layers Data type float64 numpy.ndarray

    • nesz
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      nesz: noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 34 graph layers Data type float64 numpy.ndarray

    • gamma0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      gamma0_raw: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma

      references :

      https://sentinel.esa.int/web/sentinel/radiometric-calibration-of-level-1-products

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 22 graph layers Data type float64 numpy.ndarray

    • negz
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      negz: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 34 graph layers Data type float64 numpy.ndarray

    • sigma0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      sigma0: nesz: noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought sigma0_raw: sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

      comment_recalibration :

      kersten recalibration not applied

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 44 graph layers Data type float64 numpy.ndarray

    • gamma0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

      history :

      gamma0: gamma0_raw: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma negz: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

      comment_recalibration :

      kersten recalibration not applied

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 44 graph layers Data type float64 numpy.ndarray

  • Attributes: (15)

    name :

    SENTINEL1_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE:IW

    short_name :

    SENTINEL1_DS:S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE:IW

    product :

    GRDH

    safe :

    S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE

    swath :

    IW

    multidataset :

    False

    ipf :

    2.84

    platform :

    SENTINEL-1A

    pols :

    VV VH

    start_date :

    2017-09-07 10:30:20.936409

    stop_date :

    2017-09-07 10:30:45.935264

    footprint :

    POLYGON ((-67.84221143971432 20.72564283093837, -70.22162571215458 21.14758369556577, -70.51434171237564 19.64044158236074, -68.15836401927538 19.21519321274318, -67.84221143971432 20.72564283093837))

    coverage :

    170km * 251km (line * sample )

    orbit_pass :

    Descending

    platform_heading :

    -167.7668824808032

  <xarray.DatasetView> Size: 14kB
  Dimensions:            (line: 10, sample: 21)
  Coordinates:
    * line               (line) int64 80B 0 2014 4028 6042 ... 14098 16112 16777
    * sample             (sample) int64 168B 0 1260 2520 ... 22680 23940 25186
  Data variables:
      longitude          (line, sample) float64 2kB -67.84 -67.96 ... -70.4 -70.51
      latitude           (line, sample) float64 2kB 20.73 20.75 ... 19.62 19.64
      height             (line, sample) float64 2kB 8.405e-05 ... 3.478e-05
      azimuthTime        (line, sample) datetime64[ns] 2kB 2017-09-07T10:30:20....
      slantRangeTime     (line, sample) float64 2kB 0.005331 0.005375 ... 0.006382
      incidenceAngle     (line, sample) float64 2kB 30.82 31.7 ... 45.36 46.0
      elevationAngle     (line, sample) float64 2kB 27.5 28.27 ... 39.89 40.41
      offboresightAngle  (line, sample) float64 2kB 26.72 27.49 ... 39.11 39.63
  Attributes:
      footprint:         POLYGON ((-67.84221143971432 20.72564283093837, -70.22...
      coverage:          170km * 251km (line * sample )
      approx_transform:  |-0.00,-0.00,-67.85|\n|-0.00, 0.00, 20.73|\n| 0.00, 0....
      history:           annotations

  geolocation_annotation

  • Groups: (0)
  • Dimensions:
    • line: 10
    • sample: 21
  • Coordinates: (2)
    • line
      (line)
      int64
      0 2014 4028 ... 14098 16112 16777

      array([    0,  2014,  4028,  6042,  8056, 10070, 12084, 14098, 16112, 16777])

    • sample
      (sample)
      int64
      0 1260 2520 ... 22680 23940 25186

      array([    0,  1260,  2520,  3780,  5040,  6300,  7560,  8820, 10080, 11340,
             12600, 13860, 15120, 16380, 17640, 18900, 20160, 21420, 22680, 23940,
             25186])

  • Data variables: (8)
    • longitude
      (line, sample)
      float64
      -67.84 -67.96 ... -70.4 -70.51

      history :

      longitude: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/longitude

      array([[-67.84221144, -67.96092942, -68.07968147, -68.19846752,
              -68.31728748, -68.43614128, -68.55502883, -68.67395006,
              -68.79290488, -68.91189321, -69.03091496, -69.14997006,
              -69.26905841, -69.38817993, -69.50733454, -69.62652214,
              -69.74574265, -69.86499599, -69.98428205, -70.10360076,
              -70.22162571],
             [-67.88026619, -67.99884111, -68.11744975, -68.23609204,
              -68.35476791, -68.47347727, -68.59222005, -68.71099617,
              -68.82980555, -68.94864811, -69.06752377, -69.18643244,
              -69.30537405, -69.42434851, -69.54335573, -69.66239564,
              -69.78146814, -69.90057315, -70.01971058, -70.13888035,
              -70.25675772],
             [-67.91829178, -68.03672512, -68.15519184, -68.27369187,
              -68.39222514, -68.51079156, -68.62939107, -68.74802358,
              -68.86668903, -68.98538732, -69.10411839, -69.22288214,
              -69.34167851, -69.46050741, -69.57936876, -69.69826248,
              -69.81718848, -69.93614668, -70.05513699, -70.17415934,
              -70.29189063],
             [-67.95628878, -68.07458203, -68.19290832, -68.31126758,
              -68.42965973, -68.5480847 , -68.66654243, -68.78503283,
      ...
              -69.96003015, -70.07841615, -70.19683289, -70.31528044,
              -70.43244245],
             [-68.10800415, -68.22575168, -68.34353097, -68.46134191,
              -68.57918439, -68.69705831, -68.81496362, -68.93290032,
              -69.05086839, -69.16886779, -69.28689846, -69.40496027,
              -69.5230531 , -69.6411768 , -69.75933125, -69.87751639,
              -69.9957322 , -70.11397872, -70.23225595, -70.35056376,
              -70.4675867 ],
             [-68.14586759, -68.26348238, -68.38112861, -68.49880602,
              -68.6165146 , -68.73425445, -68.85202554, -68.96982782,
              -69.08766112, -69.2055253 , -69.3234202 , -69.44134574,
              -69.55930188, -69.67728861, -69.79530593, -69.91335383,
              -70.03143223, -70.14954099, -70.26767996, -70.38584909,
              -70.50273513],
             [-68.15836402, -68.27593556, -68.39353798, -68.51117158,
              -68.62883645, -68.74653255, -68.86425975, -68.9820179 ,
              -69.09980687, -69.21762654, -69.33547682, -69.45335768,
              -69.57126909, -69.68921105, -69.80718352, -69.92518644,
              -70.04321973, -70.16128326, -70.27937693, -70.39750069,
              -70.51434171]])

    • latitude
      (line, sample)
      float64
      20.73 20.75 20.77 ... 19.62 19.64

      history :

      latitude: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/latitude

      array([[20.72564283, 20.74753608, 20.7693474 , 20.79107665, 20.81272374,
              20.83428854, 20.85577094, 20.87717082, 20.89848807, 20.91972259,
              20.94087424, 20.96194293, 20.98292853, 21.00383094, 21.02465004,
              21.04538573, 21.06603788, 21.08660639, 21.10709115, 21.12749205,
              21.1475837 ],
             [20.54434151, 20.56624689, 20.58807112, 20.60981407, 20.63147563,
              20.65305569, 20.67455412, 20.69597083, 20.71730569, 20.7385586 ,
              20.75972943, 20.78081808, 20.80182443, 20.82274838, 20.8435898 ,
              20.8643486 , 20.88502465, 20.90561785, 20.92612809, 20.94655525,
              20.96667365],
             [20.36303465, 20.38495227, 20.40678952, 20.42854627, 20.45022241,
              20.47181782, 20.4933324 , 20.51476603, 20.5361186 , 20.55738999,
              20.57858009, 20.59968879, 20.62071598, 20.64166155, 20.66252538,
              20.68330737, 20.7040074 , 20.72462537, 20.74516116, 20.76561467,
              20.78575989],
             [20.18172231, 20.20365229, 20.22550266, 20.24727331, 20.26896413,
              20.29057501, 20.31210583, 20.33355647, 20.35492684, 20.37621681,
              20.39742627, 20.41855512, 20.43960324, 20.46057051, 20.48145684,
              20.5022621 , 20.52298619, 20.543629  , 20.56419043, 20.58467035,
              20.60484246],
      ...
             [19.63774837, 19.6597159 , 19.6816061 , 19.70341892, 19.72515424,
              19.74681194, 19.76839191, 19.78989403, 19.81131819, 19.83266429,
              19.85393221, 19.87512187, 19.89623315, 19.91726594, 19.93822013,
              19.9590956 , 19.97989222, 20.00060988, 20.02124847, 20.0418079 ,
              20.062061  ],
             [19.45641293, 19.47839313, 19.50029683, 19.52212392, 19.54387426,
              19.56554774, 19.58714426, 19.60866371, 19.63010599, 19.65147101,
              19.67275864, 19.69396878, 19.71510129, 19.73615606, 19.75713297,
              19.77803192, 19.7988528 , 19.81959553, 19.84026001, 19.86084613,
              19.88112628],
             [19.27507138, 19.29706437, 19.31898164, 19.34082302, 19.36258843,
              19.38427778, 19.40589096, 19.42742788, 19.44888839, 19.47027238,
              19.49157972, 19.5128103 , 19.53396401, 19.55504076, 19.57604045,
              19.59696299, 19.61780826, 19.63857615, 19.65926653, 19.6798793 ,
              19.70018667],
             [19.21519321, 19.2371905 , 19.25911222, 19.28095835, 19.30272878,
              19.32442342, 19.34604215, 19.36758483, 19.38905135, 19.41044159,
              19.43175543, 19.45299278, 19.47415352, 19.49523757, 19.51624482,
              19.53717516, 19.55802849, 19.57880469, 19.59950363, 19.62012524,
              19.64044158]])

    • height
      (line, sample)
      float64
      8.405e-05 8.058e-05 ... 3.478e-05

      history :

      height: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/height

      array([[8.40481371e-05, 8.05780292e-05, 7.73239881e-05, 7.42655247e-05,
              7.13849440e-05, 6.86682761e-05, 6.61034137e-05, 6.36717305e-05,
              6.13667071e-05, 5.91818243e-05, 5.71012497e-05, 5.51240519e-05,
              5.32409176e-05, 5.14434651e-05, 4.97289002e-05, 4.80879098e-05,
              4.65186313e-05, 4.50164080e-05, 4.35737893e-05, 4.21935692e-05,
              4.08850610e-05],
             [8.23056325e-05, 7.89184123e-05, 7.57398084e-05, 7.27539882e-05,
              6.99404627e-05, 6.72852620e-05, 6.47809356e-05, 6.24051318e-05,
              6.01550564e-05, 5.80176711e-05, 5.59892505e-05, 5.40586188e-05,
              5.22164628e-05, 5.04618511e-05, 4.87826765e-05, 4.71826643e-05,
              4.56459820e-05, 4.41772863e-05, 4.27709892e-05, 4.14196402e-05,
              4.01381403e-05],
             [8.05808231e-05, 7.72718340e-05, 7.41686672e-05, 7.12526962e-05,
              6.85062259e-05, 6.59171492e-05, 6.34677708e-05, 6.11487776e-05,
              5.89508563e-05, 5.68665564e-05, 5.48828393e-05, 5.29959798e-05,
              5.11985272e-05, 4.94848937e-05, 4.78457659e-05, 4.62792814e-05,
              4.47817147e-05, 4.33456153e-05, 4.19700518e-05, 4.06494364e-05,
              3.93958762e-05],
             [7.88699836e-05, 7.56429508e-05, 7.26142898e-05, 6.97653741e-05,
              6.70859590e-05, 6.45564869e-05, 6.21657819e-05, 5.99026680e-05,
      ...
              4.13600355e-05, 4.00571153e-05, 3.88044864e-05, 3.76049429e-05,
              3.64659354e-05],
             [7.21802935e-05, 6.92578033e-05, 6.65178522e-05, 6.39418140e-05,
              6.15157187e-05, 5.92246652e-05, 5.70593402e-05, 5.50122932e-05,
              5.30686229e-05, 5.12236729e-05, 4.94690612e-05, 4.77973372e-05,
              4.62066382e-05, 4.46885824e-05, 4.32366505e-05, 4.18480486e-05,
              4.05199826e-05, 3.92468646e-05, 3.80249694e-05, 3.68570909e-05,
              3.57441604e-05],
             [7.05476850e-05, 6.76987693e-05, 6.50277361e-05, 6.25206158e-05,
              6.01513311e-05, 5.79208136e-05, 5.58095053e-05, 5.38136810e-05,
              5.19212335e-05, 5.01200557e-05, 4.84101474e-05, 4.67803329e-05,
              4.52278182e-05, 4.37479466e-05, 4.23323363e-05, 4.09791246e-05,
              3.96836549e-05, 3.84412706e-05, 3.72491777e-05, 3.61083075e-05,
              3.50233167e-05],
             [7.00112432e-05, 6.71874732e-05, 6.45415857e-05, 6.20530918e-05,
              5.97070903e-05, 5.74951991e-05, 5.54034486e-05, 5.34206629e-05,
              5.15431166e-05, 4.97596338e-05, 4.80618328e-05, 4.64478508e-05,
              4.49074432e-05, 4.34406102e-05, 4.20352444e-05, 4.06922773e-05,
              3.94107774e-05, 3.81805003e-05, 3.69967893e-05, 3.58633697e-05,
              3.47848982e-05]])

    • azimuthTime
      (line, sample)
      datetime64[ns]
      2017-09-07T10:30:20.936147 ... 2...

      history :

      azimuthTime: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/azimuthTime

      array([['2017-09-07T10:30:20.936147000', '2017-09-07T10:30:20.936169000',
              '2017-09-07T10:30:20.936192000', '2017-09-07T10:30:20.936215000',
              '2017-09-07T10:30:20.936238000', '2017-09-07T10:30:20.936262000',
              '2017-09-07T10:30:20.936286000', '2017-09-07T10:30:20.936311000',
              '2017-09-07T10:30:20.936337000', '2017-09-07T10:30:20.936362000',
              '2017-09-07T10:30:20.936389000', '2017-09-07T10:30:20.936414000',
              '2017-09-07T10:30:20.936442000', '2017-09-07T10:30:20.936469000',
              '2017-09-07T10:30:20.936497000', '2017-09-07T10:30:20.936525000',
              '2017-09-07T10:30:20.936554000', '2017-09-07T10:30:20.936583000',
              '2017-09-07T10:30:20.936612000', '2017-09-07T10:30:20.936642000',
              '2017-09-07T10:30:20.936672000'],
             ['2017-09-07T10:30:23.937141000', '2017-09-07T10:30:23.937163000',
              '2017-09-07T10:30:23.937186000', '2017-09-07T10:30:23.937209000',
              '2017-09-07T10:30:23.937232000', '2017-09-07T10:30:23.937256000',
              '2017-09-07T10:30:23.937280000', '2017-09-07T10:30:23.937305000',
              '2017-09-07T10:30:23.937331000', '2017-09-07T10:30:23.937356000',
              '2017-09-07T10:30:23.937383000', '2017-09-07T10:30:23.937409000',
              '2017-09-07T10:30:23.937437000', '2017-09-07T10:30:23.937464000',
              '2017-09-07T10:30:23.937492000', '2017-09-07T10:30:23.937520000',
              '2017-09-07T10:30:23.937549000', '2017-09-07T10:30:23.937578000',
      ...
              '2017-09-07T10:30:44.944197000', '2017-09-07T10:30:44.944221000',
              '2017-09-07T10:30:44.944245000', '2017-09-07T10:30:44.944270000',
              '2017-09-07T10:30:44.944295000', '2017-09-07T10:30:44.944321000',
              '2017-09-07T10:30:44.944348000', '2017-09-07T10:30:44.944374000',
              '2017-09-07T10:30:44.944401000', '2017-09-07T10:30:44.944429000',
              '2017-09-07T10:30:44.944457000', '2017-09-07T10:30:44.944485000',
              '2017-09-07T10:30:44.944514000', '2017-09-07T10:30:44.944543000',
              '2017-09-07T10:30:44.944572000', '2017-09-07T10:30:44.944602000',
              '2017-09-07T10:30:44.944632000'],
             ['2017-09-07T10:30:45.935001000', '2017-09-07T10:30:45.935023000',
              '2017-09-07T10:30:45.935045000', '2017-09-07T10:30:45.935068000',
              '2017-09-07T10:30:45.935091000', '2017-09-07T10:30:45.935115000',
              '2017-09-07T10:30:45.935140000', '2017-09-07T10:30:45.935165000',
              '2017-09-07T10:30:45.935190000', '2017-09-07T10:30:45.935216000',
              '2017-09-07T10:30:45.935242000', '2017-09-07T10:30:45.935269000',
              '2017-09-07T10:30:45.935296000', '2017-09-07T10:30:45.935324000',
              '2017-09-07T10:30:45.935351000', '2017-09-07T10:30:45.935380000',
              '2017-09-07T10:30:45.935408000', '2017-09-07T10:30:45.935437000',
              '2017-09-07T10:30:45.935467000', '2017-09-07T10:30:45.935497000',
              '2017-09-07T10:30:45.935526000']], dtype='datetime64[ns]')

    • slantRangeTime
      (line, sample)
      float64
      0.005331 0.005375 ... 0.006382

      history :

      slantRangeTime: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/slantRangeTime

      array([[0.00533107, 0.00537472, 0.00541946, 0.00546527, 0.00551211,
              0.00555997, 0.00560881, 0.00565862, 0.00570935, 0.005761  ,
              0.00581354, 0.00586693, 0.00592117, 0.00597622, 0.00603206,
              0.00608867, 0.00614603, 0.00620412, 0.00626292, 0.00632241,
              0.00638189],
             [0.00533107, 0.00537472, 0.00541947, 0.00546527, 0.00551212,
              0.00555998, 0.00560883, 0.00565863, 0.00570937, 0.00576102,
              0.00581356, 0.00586696, 0.00592119, 0.00597624, 0.00603209,
              0.0060887 , 0.00614607, 0.00620416, 0.00626296, 0.00632244,
              0.00638193],
             [0.00533107, 0.00537473, 0.00541947, 0.00546528, 0.00551213,
              0.00555999, 0.00560884, 0.00565865, 0.00570939, 0.00576104,
              0.00581358, 0.00586698, 0.00592122, 0.00597627, 0.00603211,
              0.00608873, 0.0061461 , 0.00620419, 0.00626299, 0.00632248,
              0.00638196],
             [0.00533107, 0.00537473, 0.00541948, 0.00546529, 0.00551214,
              0.00556   , 0.00560885, 0.00565866, 0.0057094 , 0.00576106,
              0.0058136 , 0.005867  , 0.00592124, 0.00597629, 0.00603214,
              0.00608876, 0.00614613, 0.00620422, 0.00626302, 0.00632251,
              0.006382  ],
      ...
             [0.00533107, 0.00537473, 0.00541949, 0.00546531, 0.00551216,
              0.00556003, 0.00560889, 0.0056587 , 0.00570945, 0.00576111,
              0.00581366, 0.00586706, 0.00592131, 0.00597637, 0.00603222,
              0.00608884, 0.00614621, 0.00620431, 0.00626312, 0.00632261,
              0.0063821 ],
             [0.00533107, 0.00537474, 0.00541949, 0.00546531, 0.00551217,
              0.00556004, 0.0056089 , 0.00565871, 0.00570946, 0.00576113,
              0.00581367, 0.00586708, 0.00592133, 0.00597639, 0.00603224,
              0.00608887, 0.00614624, 0.00620434, 0.00626315, 0.00632264,
              0.00638213],
             [0.00533107, 0.00537474, 0.00541949, 0.00546532, 0.00551218,
              0.00556005, 0.00560891, 0.00565873, 0.00570948, 0.00576114,
              0.00581369, 0.0058671 , 0.00592135, 0.00597641, 0.00603227,
              0.00608889, 0.00614627, 0.00620437, 0.00626318, 0.00632267,
              0.00638217],
             [0.00533107, 0.00537474, 0.0054195 , 0.00546532, 0.00551218,
              0.00556005, 0.00560891, 0.00565873, 0.00570948, 0.00576115,
              0.0058137 , 0.00586711, 0.00592135, 0.00597642, 0.00603227,
              0.0060889 , 0.00614627, 0.00620438, 0.00626319, 0.00632268,
              0.00638218]])

    • incidenceAngle
      (line, sample)
      float64
      30.82 31.7 32.57 ... 45.36 46.0

      history :

      incidenceAngle: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/incidenceAngle

      array([[30.81643473, 31.69860572, 32.5673122 , 33.42256419, 34.26439222,
              35.09284593, 35.90799265, 36.70991599, 37.49871456, 38.27450058,
              39.03739869, 39.78754472, 40.52508453, 41.25017294, 41.96297264,
              42.66365328, 43.35239048, 44.029365  , 44.69476193, 45.34876991,
              45.98449895],
             [30.81843404, 31.70058912, 32.56927925, 33.4245145 , 34.26632543,
              35.09476174, 35.90989079, 36.71179623, 37.50057669, 38.27634445,
              39.03922417, 39.78935171, 40.52687296, 41.25194276, 41.96472384,
              42.66538585, 43.35410445, 44.03106042, 44.69643885, 45.35042842,
              45.98613935],
             [30.8203861 , 31.70252567, 32.57119986, 33.42641879, 34.26821306,
              35.09663241, 35.91174423, 36.71363222, 37.50239504, 38.278145  ,
              39.0410068 , 39.79111631, 40.52861947, 41.25367114, 41.96643406,
              42.66707792, 43.35577839, 44.03271627, 44.69807668, 45.35204831,
              45.98774157],
             [30.82229071, 31.70441518, 32.57307385, 33.42827688, 34.27005493,
              35.09845776, 35.9135528 , 36.7154238 , 37.50416944, 38.27990207,
              39.04274641, 39.79283837, 40.53032391, 41.25535792, 41.96810316,
              42.66872934, 43.35741216, 44.03433242, 44.69967528, 45.35362942,
              45.98930549],
      ...
             [30.82771772, 31.70980026, 32.57841439, 33.43357199, 34.27530414,
              35.10366045, 35.91870812, 36.72053083, 37.50922739, 38.28491043,
              39.04770503, 39.79774744, 40.53518382, 41.26016906, 41.97286577,
              42.6734433 , 43.36207696, 44.03894731, 44.70423959, 45.35814329,
              45.99377141],
             [30.82943155, 31.7114992 , 32.58010006, 33.43524415, 34.27696183,
              35.10530281, 35.92033485, 36.72214218, 37.51082395, 38.28649282,
              39.04927355, 39.79930186, 40.53672336, 41.26169259, 41.97437218,
              42.67493196, 43.36354808, 44.04040201, 44.70567942, 45.35956875,
              45.99517944],
             [30.83109621, 31.71315105, 32.58173892, 33.43686854, 34.27857137,
              35.10689828, 35.9219173 , 36.72371216, 37.51238112, 38.28803602,
              39.05080127, 39.80081278, 40.53821684, 41.26316887, 41.97583222,
              42.67637693, 43.36497874, 44.04181816, 44.70707997, 45.36095305,
              45.99655071],
             [30.83163421, 31.71368692, 32.58226914, 33.4373939 , 34.27909315,
              35.10741695, 35.92243243, 36.72422289, 37.51288663, 38.28853584,
              39.05129535, 39.8013014 , 40.53870039, 41.26364766, 41.97630635,
              42.6768463 , 43.36544314, 44.04227749, 44.70753436, 45.36140273,
              45.99699544]])

    • elevationAngle
      (line, sample)
      float64
      27.5 28.27 29.02 ... 39.89 40.41

      history :

      elevationAngle: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/elevationAngle

      array([[27.49867978, 28.26761598, 29.02308755, 29.76510453, 30.49369745,
              31.20891594, 31.91082733, 32.59951526, 33.2750783 , 33.93762869,
              34.58729108, 35.22420129, 35.84850519, 36.46035758, 37.05992117,
              37.64736561, 38.2228665 , 38.78660463, 39.33876506, 39.87953646,
              40.40328701],
             [27.50049954, 28.26942062, 29.02487664, 29.76687767, 30.49545429,
              31.21065617, 31.91255069, 32.60122151, 33.27676724, 33.93930017,
              34.58894497, 35.22583748, 35.85012362, 36.4619582 , 37.06150397,
              37.64893057, 38.22441367, 38.78813404, 39.34027678, 39.88103057,
              40.40476379],
             [27.50227663, 28.27118299, 29.02662387, 29.76860936, 30.49717011,
              31.21235582, 31.91423391, 32.60288806, 33.27841695, 33.94093287,
              34.59056054, 35.22743582, 35.85170465, 36.46352189, 37.0630503 ,
              37.65045955, 38.22592531, 38.78962839, 39.3417539 , 39.88249053,
              40.40620689],
             [27.50401089, 28.27290293, 29.02832907, 29.77029945, 30.49884476,
              31.21401474, 31.91587683, 32.60451478, 33.28002727, 33.94252664,
              34.59213763, 35.22899615, 35.85324815, 36.46504852, 37.06456003,
              37.65195239, 38.22740128, 38.79108753, 39.34319628, 39.88391622,
              40.40761616],
      ...
             [27.50895471, 28.27780701, 29.03319097, 29.77511829, 30.50361999,
              31.21874572, 31.92056273, 32.60915471, 33.28462048, 33.94707265,
              34.59663626, 35.23344751, 35.85765254, 36.46940625, 37.06887129,
              37.65621706, 38.23161896, 38.7952576 , 39.34731822, 39.88799018,
              40.41164431],
             [27.51051669, 28.27935504, 29.03472642, 29.7766409 , 30.50512888,
              31.22024012, 31.92204235, 32.61061975, 33.28607143, 33.94851   ,
              34.59806024, 35.23485791, 35.85904868, 36.47078718, 37.07023607,
              37.65756517, 38.23295058, 38.79657369, 39.34862007, 39.88927821,
              40.41291604],
             [27.51203429, 28.28086055, 29.03621965, 29.7781205 , 30.5065945 ,
              31.2216924 , 31.92348216, 32.61204752, 33.28748684, 33.94991204,
              34.5994476 , 35.23622946, 35.86040389, 36.47212624, 37.07155979,
              37.65887456, 38.23424626, 38.7978555 , 39.3498871 , 39.89052996,
              40.41415518],
             [27.5125249 , 28.281349  , 29.03670286, 29.77859916, 30.50706971,
              31.22216453, 31.92395083, 32.61251199, 33.28794639, 33.95036627,
              34.59989646, 35.23667319, 35.86084282, 36.47256063, 37.07198973,
              37.65929994, 38.23466694, 38.79827137, 39.35029829, 39.89093666,
              40.4145572 ]])

    • offboresightAngle
      (line, sample)
      float64
      26.72 27.49 28.25 ... 39.11 39.63

      comment :

      built from elevation angle and latitude

      array([[26.72177395, 27.49078862, 28.2463386 , 28.98843391, 29.71710508,
              30.43240176, 31.13439125, 31.82315719, 32.49879816, 33.16142639,
              33.81116653, 34.44815439, 35.07253584, 35.68446568, 36.28410662,
              36.87162829, 37.44720631, 38.01102145, 38.56325878, 39.10410696,
              39.62793331],
             [26.72295262, 27.49195032, 28.24748292, 28.98956046, 29.71821353,
              30.4334918 , 31.13546263, 31.82420969, 32.49983159, 33.16244061,
              33.81216141, 34.44912985, 35.07349182, 35.68540215, 36.28502357,
              36.87252573, 37.44808429, 38.01188001, 38.564098  , 39.10492693,
              39.62873435],
             [26.72410424, 27.49308537, 28.24860098, 28.99066116, 29.71929654,
              30.43455683, 31.13650943, 31.82523804, 32.50084132, 33.16343157,
              33.81313349, 34.45008295, 35.07442589, 35.68631716, 36.28591951,
              36.87340262, 37.44894216, 38.01271892, 38.56491802, 39.10572815,
              39.62951708],
             [26.72522874, 27.49419369, 28.2496927 , 28.99173593, 29.72035403,
              30.43559677, 31.13753157, 31.82624217, 32.50182727, 33.1643992 ,
              33.81408268, 34.45101363, 35.07533799, 35.68721065, 36.28679439,
              36.8742589 , 37.44977987, 38.01353812, 38.56571878, 39.10651056,
              39.63028144],
      ...
             [26.72843838, 27.49735793, 28.25280913, 28.99480369, 29.72337262,
              30.43856557, 31.14044978, 31.82910895, 32.5046419 , 33.16716121,
              33.81679193, 34.45367028, 35.07794237, 35.68976311, 36.28929513,
              36.87670785, 37.45217665, 38.01588215, 38.56800958, 39.1087483 ,
              39.63246839],
             [26.72945427, 27.49835796, 28.25379469, 28.99577451, 29.72432785,
              30.43950444, 31.14137201, 31.83001475, 32.50553176, 33.16803565,
              33.81765119, 34.45451415, 35.07877019, 35.69057393, 36.29008803,
              36.87748232, 37.45293289, 38.01662111, 38.56873257, 39.10945576,
              39.63315786],
             [26.73044192, 27.49933159, 28.25475412, 28.99671841, 29.72525588,
              30.44041724, 31.14227048, 31.83089932, 32.50640211, 33.16889079,
              33.81848983, 34.45533516, 35.07957305, 35.69135885, 36.29085583,
              36.878234  , 37.4536691 , 38.0173417 , 38.56943664, 39.11014281,
              39.6338306 ],
             [26.73076109, 27.49964798, 28.25506463, 28.99702374, 29.72555712,
              30.44071478, 31.14256394, 31.83118796, 32.50668523, 33.16916798,
              33.81876104, 34.45560064, 35.07983312, 35.69161379, 36.29110572,
              36.87847876, 37.45390855, 38.01757577, 38.56966545, 39.11036655,
              39.6340491 ]])

  • Attributes: (4)

    footprint :

    POLYGON ((-67.84221143971432 20.72564283093837, -70.22162571215458 21.14758369556577, -70.51434171237564 19.64044158236074, -68.15836401927538 19.21519321274318, -67.84221143971432 20.72564283093837))

    coverage :

    170km * 251km (line * sample )

    approx_transform :

    |-0.00,-0.00,-67.85| |-0.00, 0.00, 20.73| | 0.00, 0.00, 1.00|

    history :

    annotations

  <xarray.DatasetView> Size: 16B
  Dimensions:          (burst: 0)
  Dimensions without coordinates: burst
  Data variables:
      azimuthTime      (burst) float64 0B
      linesPerBurst    int64 8B 0
      samplesPerBurst  int64 8B 0
  Attributes:
      history:  annotations

  bursts

  • Groups: (0)
  • Dimensions:
    • burst: 0
  • Coordinates: (0)
  • Data variables: (3)
    • azimuthTime
      (burst)
      float64

      array([], dtype=float64)

    • linesPerBurst
      ()
      int64
      0

      array(0)

    • samplesPerBurst
      ()
      int64
      0

      array(0)

  • Attributes: (1)

    history :

    annotations

  <xarray.DatasetView> Size: 264B
  Dimensions:                  (azimuthTime: 11)
  Coordinates:
    * azimuthTime              (azimuthTime) datetime64[ns] 88B 2017-09-07T10:3...
  Data variables:
      t0                       (azimuthTime) float64 88B 0.005331 ... 0.005331
      azimuthFmRatePolynomial  (azimuthTime) object 88B -2337.3034896 + 448953....
  Attributes:
      history:  annotations

  FMrate

  • Groups: (0)
  • Dimensions:
    • azimuthTime: 11
  • Coordinates: (1)
    • azimuthTime
      (azimuthTime)
      datetime64[ns]
      2017-09-07T10:30:18.303963 ... 2...

      array(['2017-09-07T10:30:18.303963000', '2017-09-07T10:30:21.062240000',
             '2017-09-07T10:30:23.820517000', '2017-09-07T10:30:26.578794000',
             '2017-09-07T10:30:29.337071000', '2017-09-07T10:30:32.095348000',
             '2017-09-07T10:30:34.853625000', '2017-09-07T10:30:37.611902000',
             '2017-09-07T10:30:40.370179000', '2017-09-07T10:30:43.128456000',
             '2017-09-07T10:30:45.886733000'], dtype='datetime64[ns]')

  • Data variables: (2)
    • t0
      (azimuthTime)
      float64
      0.005331 0.005331 ... 0.005331

      source :

      //product/generalAnnotation/azimuthFmRateList/azimuthFmRate/t0

      array([0.00533081, 0.00533081, 0.00533081, 0.00533081, 0.00533081,
             0.00533081, 0.00533081, 0.00533081, 0.00533081, 0.00533081,
             0.00533081])

    • azimuthFmRatePolynomial
      (azimuthTime)
      object
      -2337.3034896 + 448953.78010035·...

      source :

      //product/generalAnnotation/azimuthFmRateList/azimuthFmRate/azimuthFmRatePolynomial

      array([Polynomial([-2.33730349e+03,  4.48953780e+05, -7.83291481e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33736886e+03,  4.48927094e+05, -7.83175928e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33743449e+03,  4.48900162e+05, -7.83050888e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33749682e+03,  4.48871077e+05, -7.82881870e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33756452e+03,  4.48843955e+05, -7.82740446e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33762899e+03,  4.48816638e+05, -7.82615406e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33769361e+03,  4.48790609e+05, -7.82505889e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33775572e+03,  4.48761479e+05, -7.82326522e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33782228e+03,  4.48734274e+05, -7.82195447e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33788576e+03,  4.48707670e+05, -7.82117836e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.33794928e+03,  4.48680291e+05, -7.81976412e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x')],
            dtype=object)

  • Attributes: (1)

    history :

    annotations

  <xarray.DatasetView> Size: 10kB
  Dimensions:                       (azimuthTime: 27, nb_fine_dce: 20)
  Coordinates:
    * azimuthTime                   (azimuthTime) datetime64[ns] 216B 2017-09-0...
    * nb_fine_dce                   (nb_fine_dce) int64 160B 0 1 2 3 ... 17 18 19
  Data variables:
      t0                            (azimuthTime) float64 216B 0.005332 ... 0.0...
      geometryDcPolynomial          (azimuthTime) object 216B -1.070619 - 183.4...
      dataDcPolynomial              (azimuthTime) object 216B -74.90705 + 85274...
      fineDceAzimuthStartTime       (azimuthTime) datetime64[ns] 216B 2017-09-0...
      fineDceAzimuthStopTime        (azimuthTime) datetime64[ns] 216B 2017-09-0...
      dataDcRmsError                (azimuthTime) float64 216B 6.181 ... 7.745
      slantRangeTime                (azimuthTime, nb_fine_dce) float64 4kB 0.00...
      frequency                     (azimuthTime, nb_fine_dce) float64 4kB -28....
      dataDcRmsErrorAboveThreshold  (azimuthTime) bool 27B False False ... False
  Attributes:
      history:  annotations

  doppler_estimate

  • Groups: (0)
  • Dimensions:
    • azimuthTime: 27
    • nb_fine_dce: 20
  • Coordinates: (2)
    • azimuthTime
      (azimuthTime)
      datetime64[ns]
      2017-09-07T10:30:21.986205 ... 2...

      array(['2017-09-07T10:30:21.986205000', '2017-09-07T10:30:22.001625000',
             '2017-09-07T10:30:22.024980000', '2017-09-07T10:30:24.744482000',
             '2017-09-07T10:30:24.759902000', '2017-09-07T10:30:24.783257000',
             '2017-09-07T10:30:27.502759000', '2017-09-07T10:30:27.518179000',
             '2017-09-07T10:30:27.541534000', '2017-09-07T10:30:30.261036000',
             '2017-09-07T10:30:30.276456000', '2017-09-07T10:30:30.299811000',
             '2017-09-07T10:30:33.019312000', '2017-09-07T10:30:33.034732000',
             '2017-09-07T10:30:33.058087000', '2017-09-07T10:30:35.777589000',
             '2017-09-07T10:30:35.793009000', '2017-09-07T10:30:35.816364000',
             '2017-09-07T10:30:38.535866000', '2017-09-07T10:30:38.551286000',
             '2017-09-07T10:30:38.574641000', '2017-09-07T10:30:41.294143000',
             '2017-09-07T10:30:41.309563000', '2017-09-07T10:30:41.332918000',
             '2017-09-07T10:30:44.052420000', '2017-09-07T10:30:44.067840000',
             '2017-09-07T10:30:44.091195000'], dtype='datetime64[ns]')

    • nb_fine_dce
      (nb_fine_dce)
      int64
      0 1 2 3 4 5 6 ... 14 15 16 17 18 19

      array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
             18, 19])

  • Data variables: (9)
    • t0
      (azimuthTime)
      float64
      0.005332 0.005332 ... 0.005331

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/t0

      array([0.00533171, 0.00533171, 0.00533171, 0.00533171, 0.00533171,
             0.00533171, 0.00533171, 0.00533171, 0.00533171, 0.00533171,
             0.00533171, 0.00533171, 0.00533171, 0.00533171, 0.00533171,
             0.00533129, 0.00533129, 0.00533129, 0.00533129, 0.00533129,
             0.00533129, 0.00533129, 0.00533129, 0.00533129, 0.00533129,
             0.00533129, 0.00533129])

    • geometryDcPolynomial
      (azimuthTime)
      object
      -1.070619 - 183.4602·x + 63544.5...

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/geometryDcPolynomial

      array([Polynomial([-1.070619e+00, -1.834602e+02,  6.354454e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.070619e+00, -1.834602e+02,  6.354454e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.070619e+00, -1.834602e+02,  6.354454e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.253385e+00, -9.971737e+01,  4.524077e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.253385e+00, -9.971737e+01,  4.524077e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.253385e+00, -9.971737e+01,  4.524077e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.172653e+00, -1.059808e+02,  4.553581e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.172653e+00, -1.059808e+02,  4.553581e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.172653e+00, -1.059808e+02,  4.553581e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.207548e+00, -1.156024e+02,  4.853936e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.207548e+00, -1.156024e+02,  4.853936e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.207548e+00, -1.156024e+02,  4.853936e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.651085e+00, -1.580786e+02,  6.634266e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.651085e+00, -1.580786e+02,  6.634266e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.651085e+00, -1.580786e+02,  6.634266e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.336312e+00, -2.281668e+02,  9.504457e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.336312e+00, -2.281668e+02,  9.504457e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.336312e+00, -2.281668e+02,  9.504457e+04], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.681910e+00, -3.169897e+02,  1.230702e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.681910e+00, -3.169897e+02,  1.230702e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.681910e+00, -3.169897e+02,  1.230702e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-3.072425e+00, -3.513329e+02,  1.380033e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-3.072425e+00, -3.513329e+02,  1.380033e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-3.072425e+00, -3.513329e+02,  1.380033e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.988281e+00, -3.467524e+02,  1.355109e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.988281e+00, -3.467524e+02,  1.355109e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-2.988281e+00, -3.467524e+02,  1.355109e+05], domain=[-1.,  1.], window=[-1.,  1.], symbol='x')],
            dtype=object)

    • dataDcPolynomial
      (azimuthTime)
      object
      -74.90705 + 85274.16·x - 3171847...

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/dataDcPolynomial

      array([Polynomial([-7.490705e+01,  8.527416e+04, -3.171847e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-7.490705e+01,  8.527416e+04, -3.171847e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-7.490705e+01,  8.527416e+04, -3.171847e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-8.144442e+01,  8.952038e+04, -1.795088e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-8.144442e+01,  8.952038e+04, -1.795088e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-8.144442e+01,  8.952038e+04, -1.795088e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-9.006721e+01,  1.178143e+05, -3.552376e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-9.006721e+01,  1.178143e+05, -3.552376e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-9.006721e+01,  1.178143e+05, -3.552376e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.060485e+02,  1.815633e+05, -8.133584e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.060485e+02,  1.815633e+05, -8.133584e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.060485e+02,  1.815633e+05, -8.133584e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.065754e+02,  2.277709e+05, -1.248672e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.065754e+02,  2.277709e+05, -1.248672e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-1.065754e+02,  2.277709e+05, -1.248672e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-6.914784e+01,  2.093702e+05, -1.485031e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-6.914784e+01,  2.093702e+05, -1.485031e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([-6.914784e+01,  2.093702e+05, -1.485031e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 5.207268e+00,  1.093212e+05, -1.228317e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 5.207268e+00,  1.093212e+05, -1.228317e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 5.207268e+00,  1.093212e+05, -1.228317e+08], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 4.421069e+01, -7.555885e+03, -2.511658e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 4.421069e+01, -7.555885e+03, -2.511658e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 4.421069e+01, -7.555885e+03, -2.511658e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 5.235571e+01, -2.619424e+04, -1.345589e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 5.235571e+01, -2.619424e+04, -1.345589e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x'),
             Polynomial([ 5.235571e+01, -2.619424e+04, -1.345589e+07], domain=[-1.,  1.], window=[-1.,  1.], symbol='x')],
            dtype=object)

    • fineDceAzimuthStartTime
      (azimuthTime)
      datetime64[ns]
      2017-09-07T10:30:20.597552 ... 2...

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/fineDceAzimuthStartTime

      array(['2017-09-07T10:30:20.597552000', '2017-09-07T10:30:20.612972000',
             '2017-09-07T10:30:20.636327000', '2017-09-07T10:30:23.355829000',
             '2017-09-07T10:30:23.371249000', '2017-09-07T10:30:23.394604000',
             '2017-09-07T10:30:26.114106000', '2017-09-07T10:30:26.129526000',
             '2017-09-07T10:30:26.152881000', '2017-09-07T10:30:28.872383000',
             '2017-09-07T10:30:28.887803000', '2017-09-07T10:30:28.911158000',
             '2017-09-07T10:30:31.630659000', '2017-09-07T10:30:31.646079000',
             '2017-09-07T10:30:31.669434000', '2017-09-07T10:30:34.388936000',
             '2017-09-07T10:30:34.404356000', '2017-09-07T10:30:34.427711000',
             '2017-09-07T10:30:37.147213000', '2017-09-07T10:30:37.162633000',
             '2017-09-07T10:30:37.185988000', '2017-09-07T10:30:39.905490000',
             '2017-09-07T10:30:39.920910000', '2017-09-07T10:30:39.944265000',
             '2017-09-07T10:30:42.663767000', '2017-09-07T10:30:42.679187000',
             '2017-09-07T10:30:42.702542000'], dtype='datetime64[ns]')

    • fineDceAzimuthStopTime
      (azimuthTime)
      datetime64[ns]
      2017-09-07T10:30:23.374859 ... 2...

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/fineDceAzimuthStopTime

      array(['2017-09-07T10:30:23.374859000', '2017-09-07T10:30:23.390279000',
             '2017-09-07T10:30:23.413634000', '2017-09-07T10:30:26.133136000',
             '2017-09-07T10:30:26.148556000', '2017-09-07T10:30:26.171911000',
             '2017-09-07T10:30:28.891413000', '2017-09-07T10:30:28.906833000',
             '2017-09-07T10:30:28.930188000', '2017-09-07T10:30:31.649690000',
             '2017-09-07T10:30:31.665110000', '2017-09-07T10:30:31.688465000',
             '2017-09-07T10:30:34.407966000', '2017-09-07T10:30:34.423386000',
             '2017-09-07T10:30:34.446741000', '2017-09-07T10:30:37.166243000',
             '2017-09-07T10:30:37.181663000', '2017-09-07T10:30:37.205018000',
             '2017-09-07T10:30:39.924520000', '2017-09-07T10:30:39.939940000',
             '2017-09-07T10:30:39.963295000', '2017-09-07T10:30:42.682797000',
             '2017-09-07T10:30:42.698217000', '2017-09-07T10:30:42.721572000',
             '2017-09-07T10:30:45.441074000', '2017-09-07T10:30:45.456494000',
             '2017-09-07T10:30:45.479849000'], dtype='datetime64[ns]')

    • dataDcRmsError
      (azimuthTime)
      float64
      6.181 6.181 6.181 ... 7.745 7.745

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/dataDcRmsError

      array([ 6.18144798,  6.18144798,  6.18144798,  8.1549921 ,  8.1549921 ,
              8.1549921 ,  9.88119221,  9.88119221,  9.88119221, 11.99040031,
             11.99040031, 11.99040031, 17.31355095, 17.31355095, 17.31355095,
             10.53964043, 10.53964043, 10.53964043, 12.87742996, 12.87742996,
             12.87742996,  9.91536236,  9.91536236,  9.91536236,  7.74485397,
              7.74485397,  7.74485397])

    • slantRangeTime
      (azimuthTime, nb_fine_dce)
      float64
      0.006021 0.006043 ... 0.005696

      source :

      ///product/dopplerCentroid/dcEstimateList/dcEstimate/fineDceList/fineDce/slantRangeTime

      array([[0.00602137, 0.00604268, 0.00606401, 0.00608535, 0.00610666,
              0.006128  , 0.00614933, 0.00617067, 0.00619198, 0.00621332,
              0.00623465, 0.00625599, 0.0062773 , 0.00629863, 0.00631997,
              0.0063413 , 0.00636262, 0.00638395, 0.00640529, 0.00642662],
             [0.0056491 , 0.00567161, 0.00569414, 0.00571667, 0.00573918,
              0.00576171, 0.00578424, 0.00580675, 0.00582928, 0.0058518 ,
              0.00587432, 0.00589684, 0.00591937, 0.00594188, 0.00596441,
              0.00598694, 0.00600945, 0.00603198, 0.00605451, 0.00607704],
             [0.00533793, 0.00535679, 0.00537568, 0.00539456, 0.00541343,
              0.00543231, 0.00545119, 0.00547007, 0.00548894, 0.00550782,
              0.00552671, 0.00554559, 0.00556446, 0.00558334, 0.00560222,
              0.0056211 , 0.00563997, 0.00565885, 0.00567774, 0.00569662],
             [0.00602137, 0.00604268, 0.00606401, 0.00608535, 0.00610666,
              0.006128  , 0.00614933, 0.00617067, 0.00619198, 0.00621332,
              0.00623465, 0.00625599, 0.0062773 , 0.00629863, 0.00631997,
              0.0063413 , 0.00636262, 0.00638395, 0.00640529, 0.00642662],
             [0.0056491 , 0.00567161, 0.00569414, 0.00571667, 0.00573918,
              0.00576171, 0.00578424, 0.00580675, 0.00582928, 0.0058518 ,
              0.00587432, 0.00589684, 0.00591937, 0.00594188, 0.00596441,
              0.00598694, 0.00600945, 0.00603198, 0.00605451, 0.00607704],
      ...
             [0.00564867, 0.00567118, 0.00569371, 0.00571624, 0.00573875,
              0.00576128, 0.00578381, 0.00580632, 0.00582885, 0.00585138,
              0.00587389, 0.00589642, 0.00591895, 0.00594146, 0.00596399,
              0.00598652, 0.00600903, 0.00603156, 0.00605409, 0.00607662],
             [0.0053375 , 0.00535637, 0.00537525, 0.00539413, 0.005413  ,
              0.00543188, 0.00545077, 0.00546965, 0.00548852, 0.0055074 ,
              0.00552628, 0.00554516, 0.00556403, 0.00558291, 0.00560179,
              0.00562068, 0.00563954, 0.00565843, 0.00567731, 0.00569619],
             [0.00602097, 0.00604228, 0.00606362, 0.00608495, 0.00610626,
              0.0061276 , 0.00614893, 0.00617027, 0.00619158, 0.00621292,
              0.00623425, 0.00625559, 0.0062769 , 0.00629824, 0.00631957,
              0.00634091, 0.00636222, 0.00638355, 0.00640489, 0.00642622],
             [0.00564867, 0.00567118, 0.00569371, 0.00571624, 0.00573875,
              0.00576128, 0.00578381, 0.00580632, 0.00582885, 0.00585138,
              0.00587389, 0.00589642, 0.00591895, 0.00594146, 0.00596399,
              0.00598652, 0.00600903, 0.00603156, 0.00605409, 0.00607662],
             [0.0053375 , 0.00535637, 0.00537525, 0.00539413, 0.005413  ,
              0.00543188, 0.00545077, 0.00546965, 0.00548852, 0.0055074 ,
              0.00552628, 0.00554516, 0.00556403, 0.00558291, 0.00560179,
              0.00562068, 0.00563954, 0.00565843, 0.00567731, 0.00569619]])

    • frequency
      (azimuthTime, nb_fine_dce)
      float64
      -28.36 -23.4 -22.74 ... 50.89 48.45

      source :

      ///product/dopplerCentroid/dcEstimateList/dcEstimate/fineDceList/fineDce/frequency

      array([[-2.83627396e+01, -2.34020996e+01, -2.27359791e+01,
              -2.14338303e+01, -2.16946793e+01, -1.86582603e+01,
              -1.87251396e+01, -1.86861095e+01, -1.91607609e+01,
              -1.92101994e+01, -2.16042099e+01, -2.08997803e+01,
              -2.08783493e+01, -2.35738697e+01, -2.59848309e+01,
              -2.67308006e+01, -2.74718208e+01, -2.24640503e+01,
              -2.76810703e+01, -2.94484692e+01],
             [-5.05290985e+01, -4.97535210e+01, -4.76504211e+01,
              -4.50092888e+01, -4.31616898e+01, -4.17437592e+01,
              -4.31146393e+01, -4.14025307e+01, -3.61737900e+01,
              -3.80477982e+01, -3.54183502e+01, -3.60961990e+01,
              -3.35103607e+01, -3.32666092e+01, -3.25568199e+01,
              -3.23619690e+01, -3.01779308e+01, -3.40821800e+01,
              -2.89777699e+01, -2.91298599e+01],
             [-5.31135406e+01, -5.72949486e+01, -5.97548599e+01,
              -6.22610703e+01, -6.05739403e+01, -6.25044708e+01,
              -6.22043190e+01, -6.54165192e+01, -6.31957703e+01,
              -6.44335632e+01, -6.50554810e+01, -6.47480087e+01,
              -6.43743210e+01, -6.27960281e+01, -6.25949287e+01,
              -6.43372269e+01, -6.49634094e+01, -6.17625008e+01,
      ...
               1.09871101e+01,  1.46438303e+01,  1.53072004e+01,
               1.67793007e+01,  1.88320103e+01,  2.10021896e+01,
               1.91785603e+01,  2.37122803e+01,  2.75104008e+01,
               2.23973103e+01,  2.23384209e+01,  1.91066494e+01,
               1.69593296e+01,  1.61609306e+01,  1.56372204e+01,
               1.02800102e+01,  9.70661354e+00],
             [ 5.01123810e+01,  4.93473511e+01,  4.79552917e+01,
               4.55706596e+01,  4.35882111e+01,  4.18898582e+01,
               4.05210190e+01,  3.76974297e+01,  3.44289207e+01,
               3.35739288e+01,  3.28683815e+01,  2.93210506e+01,
               2.71278591e+01,  2.62309303e+01,  2.32745895e+01,
               2.01872902e+01,  1.88179893e+01,  1.72772198e+01,
               1.48609800e+01,  1.56386805e+01],
             [ 3.71878510e+01,  3.59843788e+01,  3.69074211e+01,
               4.07445602e+01,  4.46610298e+01,  4.35153999e+01,
               4.83971405e+01,  5.14696083e+01,  5.31631889e+01,
               5.27528496e+01,  5.51838608e+01,  5.68355408e+01,
               5.39078789e+01,  5.50927086e+01,  5.54334297e+01,
               5.34339218e+01,  5.27760582e+01,  5.12622795e+01,
               5.08905106e+01,  4.84489288e+01]])

    • dataDcRmsErrorAboveThreshold
      (azimuthTime)
      bool
      False False False ... False False

      source :

      //product/dopplerCentroid/dcEstimateList/dcEstimate/dataDcRmsErrorAboveThreshold

      array([False, False, False, False, False, False, False, False, False,
             False, False, False, False, False, False, False, False, False,
             False, False, False, False, False, False, False, False, False])

  • Attributes: (1)

    history :

    annotations

  <xarray.DatasetView> Size: 952B
  Dimensions:     (time: 17)
  Coordinates:
    * time        (time) datetime64[ns] 136B 2017-09-07T10:29:14.474905 ... 201...
  Data variables:
      velocity_x  (time) float64 136B -116.7 -154.1 -191.4 ... -663.4 -698.6
      velocity_y  (time) float64 136B -3.433e+03 -3.368e+03 ... -2.342e+03
      velocity_z  (time) float64 136B -6.776e+03 -6.808e+03 ... -7.194e+03
      position_x  (time) float64 136B 2.892e+06 2.89e+06 ... 2.833e+06 2.826e+06
      position_y  (time) float64 136B -5.782e+06 -5.816e+06 ... -6.246e+06
      position_z  (time) float64 136B 2.869e+06 2.801e+06 ... 1.82e+06 1.748e+06
  Attributes:
      orbit_pass:        Descending
      platform_heading:  -167.7668824808032
      frame:             Earth Fixed
      history:           orbit:\n  annotation/s1a.xml:\n  - //product/generalAn...

  orbit

  • Groups: (0)
  • Dimensions:
    • time: 17
  • Coordinates: (1)
    • time
      (time)
      datetime64[ns]
      2017-09-07T10:29:14.474905 ... 2...

      array(['2017-09-07T10:29:14.474905000', '2017-09-07T10:29:24.474905000',
             '2017-09-07T10:29:34.474905000', '2017-09-07T10:29:44.474904000',
             '2017-09-07T10:29:54.474905000', '2017-09-07T10:30:04.474905000',
             '2017-09-07T10:30:14.474905000', '2017-09-07T10:30:24.474904000',
             '2017-09-07T10:30:34.474905000', '2017-09-07T10:30:44.474905000',
             '2017-09-07T10:30:54.474905000', '2017-09-07T10:31:04.474904000',
             '2017-09-07T10:31:14.474905000', '2017-09-07T10:31:24.474905000',
             '2017-09-07T10:31:34.474905000', '2017-09-07T10:31:44.474904000',
             '2017-09-07T10:31:54.474905000'], dtype='datetime64[ns]')

  • Data variables: (6)
    • velocity_x
      (time)
      float64
      -116.7 -154.1 ... -663.4 -698.6

      array([-116.710637, -154.090577, -191.357997, -228.508067, -265.535977,
             -302.436943, -339.206209, -375.839043, -412.330741, -448.676626,
             -484.872048, -520.912381, -556.79303 , -592.509426, -628.05703 ,
             -663.431335, -698.627862])

    • velocity_y
      (time)
      float64
      -3.433e+03 ... -2.342e+03

      array([-3432.91065 , -3367.676328, -3302.009589, -3235.918021,
             -3169.409267, -3102.491029, -3035.171056, -2967.457153,
             -2899.357174, -2830.879022, -2762.03065 , -2692.820066,
             -2623.255328, -2553.344541, -2483.095863, -2412.517495,
             -2341.617687])

    • velocity_z
      (time)
      float64
      -6.776e+03 ... -7.194e+03

      array([-6775.974019, -6807.999362, -6839.255817, -6869.73982 ,
             -6899.447898, -6928.376666, -6956.522831, -6983.88319 ,
             -7010.454629, -7036.23412 , -7061.218727, -7085.4056  ,
             -7108.791981, -7131.375204, -7153.152698, -7174.121986,
             -7194.280684])

    • position_x
      (time)
      float64
      2.892e+06 2.89e+06 ... 2.826e+06

      array([2891647.470081, 2890293.372212, 2888566.033516, 2886466.603359,
             2883996.279315, 2881156.306914, 2877947.979391, 2874372.637429,
             2870431.668894, 2866126.50857 , 2861458.637882, 2856429.584614,
             2851040.922645, 2845294.271647, 2839191.296808, 2832733.708561,
             2825923.262408])

    • position_y
      (time)
      float64
      -5.782e+06 ... -6.246e+06

      array([-5782320.10182 , -5816323.40019 , -5849672.186956, -5882362.175843,
             -5914389.156739, -5945748.996239, -5976437.638189, -6006451.104214,
             -6035785.494237, -6064436.986996, -6092401.840527, -6119676.392678,
             -6146257.061599, -6172140.346155, -6197322.826438, -6221801.164353,
             -6245572.104345])

    • position_z
      (time)
      float64
      2.869e+06 2.801e+06 ... 1.748e+06

      array([2868682.915781, 2800762.409682, 2732525.491596, 2663979.868287,
             2595133.281708, 2525993.508111, 2456568.357128, 2386865.670889,
             2316893.32313 , 2246659.218295, 2176171.29064 , 2105437.503239,
             2034465.847192, 1963264.34078 , 1891841.02856 , 1820203.98035 ,
             1748361.290411])

  • Attributes: (4)

    orbit_pass :

    Descending

    platform_heading :

    -167.7668824808032

    frame :

    Earth Fixed

    history :

    orbit: annotation/s1a.xml: - //product/generalAnnotation/orbitList/orbit/time - //product/generalAnnotation/orbitList/orbit/frame - //product/generalAnnotation/orbitList/orbit/position/x - //product/generalAnnotation/orbitList/orbit/position/y - //product/generalAnnotation/orbitList/orbit/position/z - //product/generalAnnotation/orbitList/orbit/velocity/x - //product/generalAnnotation/orbitList/orbit/velocity/y - //product/generalAnnotation/orbitList/orbit/velocity/z - /product/generalAnnotation/productInformation/pass - /product/generalAnnotation/productInformation/platformHeading

  <xarray.DatasetView> Size: 3kB
  Dimensions:                  (dim_0: 2)
  Dimensions without coordinates: dim_0
  Data variables: (12/14)
      LineUtcTime              (dim_0) datetime64[ns] 16B 2017-09-07T10:30:20.9...
      numberOfLines            int64 8B 16778
      numberOfSamples          int64 8B 25187
      azimuthPixelSpacing      float64 8B 10.0
      slantRangePixelSpacing   float64 8B 10.0
      groundRangePixelSpacing  float64 8B 10.0
      ...                       ...
      slantRangeTime           float64 8B 0.005331
      swath_subswath           <U2 8B 'IW'
      radarFrequency           float64 8B 5.405e+09
      rangeSamplingRate        float64 8B 6.435e+07
      azimuthSteeringRate      float64 8B 1.59
      history                  <U824 3kB 'image:\n  annotation/s1a.xml:\n  - /p...

  image

  • Groups: (0)
  • Dimensions:
    • dim_0: 2
  • Coordinates: (0)
  • Data variables: (14)
    • LineUtcTime
      (dim_0)
      datetime64[ns]
      2017-09-07T10:30:20.936409 2017-...

      source :

      /product/imageAnnotation/imageInformation/*[contains(name(),"LineUtcTime")]

      array(['2017-09-07T10:30:20.936409000', '2017-09-07T10:30:45.935264000'],
            dtype='datetime64[ns]')

    • numberOfLines
      ()
      int64
      16778

      source :

      /product/imageAnnotation/imageInformation/numberOfLines

      array(16778)

    • numberOfSamples
      ()
      int64
      25187

      source :

      /product/imageAnnotation/imageInformation/numberOfSamples

      array(25187)

    • azimuthPixelSpacing
      ()
      float64
      10.0

      source :

      /product/imageAnnotation/imageInformation/azimuthPixelSpacing

      array(10.)

    • slantRangePixelSpacing
      ()
      float64
      10.0

      source :

      /product/imageAnnotation/imageInformation/rangePixelSpacing

      array(10.)

    • groundRangePixelSpacing
      ()
      float64
      10.0

      source :

      /product/imageAnnotation/imageInformation/rangePixelSpacing

      array(10.)

    • incidenceAngleMidSwath
      ()
      float64
      39.05

      source :

      /product/imageAnnotation/imageInformation/incidenceAngleMidSwath

      array(39.04739333)

    • azimuthTimeInterval
      ()
      float64
      0.00149

      source :

      /product/imageAnnotation/imageInformation/azimuthTimeInterval

      array(0.00149007)

    • slantRangeTime
      ()
      float64
      0.005331

      source :

      /product/imageAnnotation/imageInformation/slantRangeTime

      array(0.00533107)

    • swath_subswath
      ()
      <U2
      'IW'

      source :

      /product/adsHeader/swath

      array('IW', dtype='<U2')

    • radarFrequency
      ()
      float64
      5.405e+09

      source :

      /product/generalAnnotation/productInformation/radarFrequency

      array(5.40500045e+09)

    • rangeSamplingRate
      ()
      float64
      6.435e+07

      source :

      /product/generalAnnotation/productInformation/rangeSamplingRate

      array(64345238.12571428)

    • azimuthSteeringRate
      ()
      float64
      1.59

      source :

      /product/generalAnnotation/productInformation/azimuthSteeringRate

      array(1.59036878)

    • history
      ()
      <U824
      'image:\n annotation/s1a.xml:\n...

      array('image:\n  annotation/s1a.xml:\n  - /product/adsHeader/productType\n  - /product/imageAnnotation/imageInformation/*[contains(name(),"LineUtcTime")]\n  - /product/imageAnnotation/imageInformation/numberOfLines\n  - /product/imageAnnotation/imageInformation/numberOfSamples\n  - /product/imageAnnotation/imageInformation/incidenceAngleMidSwath\n  - /product/imageAnnotation/imageInformation/azimuthTimeInterval\n  - /product/imageAnnotation/imageInformation/slantRangeTime\n  - /product/imageAnnotation/imageInformation/azimuthPixelSpacing\n  - /product/imageAnnotation/imageInformation/rangePixelSpacing\n  - /product/adsHeader/swath\n  - /product/generalAnnotation/productInformation/radarFrequency\n  - /product/generalAnnotation/productInformation/rangeSamplingRate\n  - /product/generalAnnotation/productInformation/azimuthSteeringRate\n',
            dtype='<U824')

  • Attributes: (0)

  <xarray.DatasetView> Size: 551kB
  Dimensions:      (pol: 2, line: 27, sample: 631)
  Coordinates:
    * line         (line) int64 216B 0 671 1342 2013 ... 15436 16107 16778 17449
    * sample       (sample) int64 5kB 0 40 80 120 160 ... 25080 25120 25160 25186
    * pol          (pol) object 16B 'VV' 'VH'
  Data variables:
      sigma0_lut   (pol, line, sample) float64 273kB 662.0 661.7 ... 558.9 558.8
      gamma0_lut   (pol, line, sample) float64 273kB 613.4 613.1 ... 465.8 465.7
      azimuthTime  (pol, line) datetime64[ns] 432B 2017-09-07T10:30:20.936409 ....
  Attributes:
      history:  calibration

  calibration

  • Groups: (0)
  • Dimensions:
    • pol: 2
    • line: 27
    • sample: 631
  • Coordinates: (3)
    • line
      (line)
      int64
      0 671 1342 ... 16107 16778 17449

      array([    0,   671,  1342,  2013,  2684,  3356,  4027,  4698,  5369,  6040,
              6711,  7382,  8053,  8724,  9396, 10067, 10738, 11409, 12080, 12751,
             13422, 14093, 14764, 15436, 16107, 16778, 17449])

    • sample
      (sample)
      int64
      0 40 80 120 ... 25120 25160 25186

      array([    0,    40,    80, ..., 25120, 25160, 25186])

    • pol
      (pol)
      object
      'VV' 'VH'

      array(['VV', 'VH'], dtype=object)

  • Data variables: (3)
    • sigma0_lut
      (pol, line, sample)
      float64
      662.0 661.7 661.5 ... 558.9 558.8

      description :

      look up table sigma0

      history :

      sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

      array([[[662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              ...,
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026]],
      
             [[662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              ...,
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026],
              [662.0113, 661.7385, 661.4663, ..., 558.9932, 558.8978,
               558.8026]]])

    • gamma0_lut
      (pol, line, sample)
      float64
      613.4 613.1 612.7 ... 465.8 465.7

      description :

      look up table gamma0

      history :

      gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma

      array([[[613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              ...,
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796]],
      
             [[613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              ...,
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796],
              [613.422 , 613.0791, 612.7367, ..., 466.0089, 465.8442,
               465.6796]]])

    • azimuthTime
      (pol, line)
      datetime64[ns]
      2017-09-07T10:30:20.936409 ... 2...

      description :

      azimuth times associated to the signal look up table

      history :

      azimuthTime: annotation/calibration/calibration.xml: /calibration/calibrationVectorList/calibrationVector/azimuthTime

      array([['2017-09-07T10:30:20.936409000', '2017-09-07T10:30:21.936409000',
              '2017-09-07T10:30:22.936409000', '2017-09-07T10:30:23.936409000',
              '2017-09-07T10:30:24.936409000', '2017-09-07T10:30:25.936409000',
              '2017-09-07T10:30:26.936409000', '2017-09-07T10:30:27.936409000',
              '2017-09-07T10:30:28.936409000', '2017-09-07T10:30:29.936409000',
              '2017-09-07T10:30:30.936409000', '2017-09-07T10:30:31.936409000',
              '2017-09-07T10:30:32.936409000', '2017-09-07T10:30:33.936409000',
              '2017-09-07T10:30:34.936409000', '2017-09-07T10:30:35.936409000',
              '2017-09-07T10:30:36.936409000', '2017-09-07T10:30:37.936409000',
              '2017-09-07T10:30:38.936409000', '2017-09-07T10:30:39.936409000',
              '2017-09-07T10:30:40.936409000', '2017-09-07T10:30:41.936409000',
              '2017-09-07T10:30:42.936409000', '2017-09-07T10:30:43.936409000',
              '2017-09-07T10:30:44.936409000', '2017-09-07T10:30:45.936409000',
              '2017-09-07T10:30:46.936409000'],
             ['2017-09-07T10:30:20.936409000', '2017-09-07T10:30:21.936409000',
              '2017-09-07T10:30:22.936409000', '2017-09-07T10:30:23.936409000',
              '2017-09-07T10:30:24.936409000', '2017-09-07T10:30:25.936409000',
              '2017-09-07T10:30:26.936409000', '2017-09-07T10:30:27.936409000',
              '2017-09-07T10:30:28.936409000', '2017-09-07T10:30:29.936409000',
              '2017-09-07T10:30:30.936409000', '2017-09-07T10:30:31.936409000',
              '2017-09-07T10:30:32.936409000', '2017-09-07T10:30:33.936409000',
              '2017-09-07T10:30:34.936409000', '2017-09-07T10:30:35.936409000',
              '2017-09-07T10:30:36.936409000', '2017-09-07T10:30:37.936409000',
              '2017-09-07T10:30:38.936409000', '2017-09-07T10:30:39.936409000',
              '2017-09-07T10:30:40.936409000', '2017-09-07T10:30:41.936409000',
              '2017-09-07T10:30:42.936409000', '2017-09-07T10:30:43.936409000',
              '2017-09-07T10:30:44.936409000', '2017-09-07T10:30:45.936409000',
              '2017-09-07T10:30:46.936409000']], dtype='datetime64[ns]')

  • Attributes: (1)

    history :

    calibration

  <xarray.DatasetView> Size: 280kB
  Dimensions:      (pol: 2, line: 27, sample: 634)
  Coordinates:
    * line         (line) int64 216B 0 671 1342 2013 ... 15433 16104 16775 16777
    * sample       (sample) int64 5kB 0 40 80 120 160 ... 25068 25108 25148 25186
    * pol          (pol) object 16B 'VV' 'VH'
  Data variables:
      noise_lut    (pol, line, sample) float64 274kB 1.641e+03 1.62e+03 ... 0.0
      azimuthTime  (pol, line) float64 432B nan nan nan nan ... nan nan nan nan
  Attributes:
      history:  noise_lut_range_raw:\n  annotation/calibration/noise.xml:\n  - ...

  noise_range

  • Groups: (0)
  • Dimensions:
    • pol: 2
    • line: 27
    • sample: 634
  • Coordinates: (3)
    • line
      (line)
      int64
      0 671 1342 ... 16104 16775 16777

      array([    0,   671,  1342,  2013,  2684,  3355,  4026,  4697,  5368,  6039,
              6710,  7381,  8052,  8723,  9394, 10065, 10736, 11407, 12078, 12749,
             13420, 14091, 14762, 15433, 16104, 16775, 16777])

    • sample
      (sample)
      int64
      0 40 80 120 ... 25108 25148 25186

      array([    0,    40,    80, ..., 25108, 25148, 25186])

    • pol
      (pol)
      object
      'VV' 'VH'

      array(['VV', 'VH'], dtype=object)

  • Data variables: (2)
    • noise_lut
      (pol, line, sample)
      float64
      1.641e+03 1.62e+03 ... 0.0 0.0

      description :

      /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut

      array([[[1640.849 , 1619.996 , 1600.462 , ...,  967.4708,  992.1962,
               1016.304 ],
              [1640.467 , 1619.635 , 1600.108 , ...,  967.7877,  992.5156,
               1016.639 ],
              [1639.197 , 1618.398 , 1598.889 , ...,  967.9061,  992.629 ,
               1016.763 ],
              ...,
              [1633.904 , 1613.484 , 1594.082 , ..., 1024.808 ,    0.    ,
                  0.    ],
              [1633.859 , 1613.442 , 1594.042 , ..., 1034.125 ,    0.    ,
                  0.    ],
              [1633.859 , 1613.442 , 1594.042 , ..., 1034.153 ,    0.    ,
                  0.    ]],
      
             [[1736.682 , 1714.779 , 1694.556 , ...,  956.7737,  981.1949,
               1005.004 ],
              [1733.813 , 1711.97  , 1691.783 , ...,  956.6582,  981.0709,
               1004.885 ],
              [1733.314 , 1711.5   , 1691.32  , ...,  957.1176,  981.5339,
               1005.367 ],
              ...,
              [1729.823 , 1708.47  , 1688.364 , ..., 1012.075 ,    0.    ,
                  0.    ],
              [1729.575 , 1708.229 , 1688.126 , ..., 1020.852 ,    0.    ,
                  0.    ],
              [1729.575 , 1708.228 , 1688.125 , ..., 1020.878 ,    0.    ,
                  0.    ]]])

    • azimuthTime
      (pol, line)
      float64
      nan nan nan nan ... nan nan nan nan

      description :

      /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut

      array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
              nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
              nan],
             [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
              nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
              nan]])

  • Attributes: (1)

    history :

    noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

  <xarray.DatasetView> Size: 16B
  Dimensions:       (pol: 2, swath: 0)
  Coordinates:
    * swath         (swath) float64 0B
    * pol           (pol) object 16B 'VV' 'VH'
  Data variables:
      line_start    (pol, swath) int64 0B
      line_stop     (pol, swath) int64 0B
      sample_start  (pol, swath) int64 0B
      sample_stop   (pol, swath) int64 0B
  Attributes:
      history:  noise_lut_azi_raw_grd:\n  annotation/calibration/noise.xml:\n  ...

  noise_azimuth

  • Groups: (0)
  • Dimensions:
    • pol: 2
    • swath: 0
  • Coordinates: (2)
    • swath
      (swath)
      float64

      array([], dtype=float64)

    • pol
      (pol)
      object
      'VV' 'VH'

      array(['VV', 'VH'], dtype=object)

  • Data variables: (4)
    • line_start
      (pol, swath)
      int64

      description :

      /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine

      array([], shape=(2, 0), dtype=int64)

    • line_stop
      (pol, swath)
      int64

      description :

      /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine

      array([], shape=(2, 0), dtype=int64)

    • sample_start
      (pol, swath)
      int64

      description :

      /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample

      array([], shape=(2, 0), dtype=int64)

    • sample_stop
      (pol, swath)
      int64

      description :

      /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample

      array([], shape=(2, 0), dtype=int64)

  • Attributes: (1)

    history :

    noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath

  <xarray.DatasetView> Size: 439kB
  Dimensions:         (swath_nb: 3, dim_slantRangeTime: 652, dim_azimuthTime: 9)
  Coordinates:
    * swath_nb        (swath_nb) int64 24B 1 2 3
  Dimensions without coordinates: dim_slantRangeTime, dim_azimuthTime
  Data variables:
      slantRangeTime  (swath_nb, dim_slantRangeTime) float64 16kB 0.006012 ... ...
      swath           (swath_nb, dim_azimuthTime) float64 216B 1.0 1.0 ... 3.0 3.0
      roll            (swath_nb, dim_azimuthTime) float64 216B 30.22 ... 30.23
      azimuthTime     (swath_nb, dim_azimuthTime) datetime64[ns] 216B 2017-09-0...
      terrainHeight   (swath_nb, dim_azimuthTime) float64 216B 0.0 0.0 ... 71.63
      elevationAngle  (swath_nb, dim_azimuthTime, dim_slantRangeTime) float64 141kB ...
      incidenceAngle  (swath_nb, dim_azimuthTime, dim_slantRangeTime) float64 141kB ...
      gain            (swath_nb, dim_azimuthTime, dim_slantRangeTime) float64 141kB ...
  Attributes:
      dim_azimuthTime:     max dimension of azimuthTime for a swath
      dim_slantRangeTime:  max dimension of slantRangeTime for a swath
      comment:             The antenna pattern data set record contains a list ...
      example:             for example, if swath Y is smaller than swath X, use...
      source:              Sentinel-1 Product Specification
      history:             antenna_pattern:\n  annotation/s1a.xml:\n  - /produc...

  antenna_pattern

  • Groups: (0)
  • Dimensions:
    • swath_nb: 3
    • dim_slantRangeTime: 652
    • dim_azimuthTime: 9
  • Coordinates: (1)
    • swath_nb
      (swath_nb)
      int64
      1 2 3

      array([1, 2, 3])

  • Data variables: (8)
    • slantRangeTime
      (swath_nb, dim_slantRangeTime)
      float64
      0.006012 0.006013 ... 0.006022

      array([[0.00601183, 0.00601251, 0.00601319, ...,        nan,        nan,
                     nan],
             [0.0053307 , 0.0053312 , 0.00533169, ...,        nan,        nan,
                     nan],
             [0.00564073, 0.00564132, 0.0056419 , ..., 0.00602113, 0.00602171,
              0.0060223 ]])

    • swath
      (swath_nb, dim_azimuthTime)
      float64
      1.0 1.0 1.0 1.0 ... 3.0 3.0 3.0 3.0

      array([[1., 1., 1., 1., 1., 1., 1., 1., 1.],
             [2., 2., 2., 2., 2., 2., 2., 2., 2.],
             [3., 3., 3., 3., 3., 3., 3., 3., 3.]])

    • roll
      (swath_nb, dim_azimuthTime)
      float64
      30.22 30.22 30.22 ... 30.23 30.23

      array([[30.22334347, 30.22398045, 30.22457176, 30.22504428, 30.22567273,
              30.22631409, 30.22701546, 30.22769704, 30.22831127],
             [30.22351527, 30.22416422, 30.22471888, 30.22525759, 30.22584886,
              30.2265387 , 30.22727787, 30.2278852 , 30.22854023],
             [30.2231985 , 30.22378677, 30.22439913, 30.2249317 , 30.22549701,
              30.22609418, 30.22680063, 30.22748097, 30.22810295]])

    • azimuthTime
      (swath_nb, dim_azimuthTime)
      datetime64[ns]
      2017-09-07T10:30:22.213438976 .....

      array([['2017-09-07T10:30:22.213438976', '2017-09-07T10:30:24.969939968',
              '2017-09-07T10:30:27.724385024', '2017-09-07T10:30:30.484997888',
              '2017-09-07T10:30:33.259998976', '2017-09-07T10:30:36.043222016',
              '2017-09-07T10:30:38.812056064', '2017-09-07T10:30:41.572667904',
              '2017-09-07T10:30:44.331225088'],
             ['2017-09-07T10:30:23.167216896', '2017-09-07T10:30:25.925774080',
              '2017-09-07T10:30:28.686385920', '2017-09-07T10:30:31.451109120',
              '2017-09-07T10:30:34.219942912', '2017-09-07T10:30:36.990832896',
              '2017-09-07T10:30:39.751444992', '2017-09-07T10:30:42.512057088',
              '2017-09-07T10:30:45.270614016'],
             ['2017-09-07T10:30:21.372716032', '2017-09-07T10:30:24.135384064',
              '2017-09-07T10:30:26.893939968', '2017-09-07T10:30:29.656608000',
              '2017-09-07T10:30:32.417220096', '2017-09-07T10:30:35.177831936',
              '2017-09-07T10:30:37.938444032', '2017-09-07T10:30:40.703168000',
              '2017-09-07T10:30:43.461723904']], dtype='datetime64[ns]')

    • terrainHeight
      (swath_nb, dim_azimuthTime)
      float64
      0.0 0.0 0.0 0.0 ... 0.0 1.715 71.63

      array([[ 0.        ,  0.        ,  0.        ,  0.        ,  0.        ,
               0.        ,  0.        ,  0.        ,  0.        ],
             [ 0.        ,  0.        ,  0.        ,  0.        ,  0.        ,
               0.        ,  0.        ,  0.        , 16.19112333],
             [ 0.        ,  0.        ,  0.        ,  0.        ,  0.        ,
               0.        ,  0.        ,  1.7154036 , 71.6274825 ]])

    • elevationAngle
      (swath_nb, dim_azimuthTime, dim_slantRangeTime)
      float64
      27.49 27.5 27.51 ... nan nan nan

      array([[[27.49343, 27.50238, 27.51132, ...,      nan,      nan,
                    nan],
              [27.49507, 27.50402, 27.51297, ...,      nan,      nan,
                    nan],
              [27.49667, 27.50562, 27.51457, ...,      nan,      nan,
                    nan],
              ...,
              [27.50274, 27.51169, 27.52063, ...,      nan,      nan,
                    nan],
              [27.50416, 27.51311, 27.52205, ...,      nan,      nan,
                    nan],
              [27.50555, 27.5145 , 27.52344, ...,      nan,      nan,
                    nan]],
      
             [[32.35688, 32.36494, 32.37299, ..., 36.94555, 36.95178,
               36.958  ],
              [32.35824, 32.36629, 32.37435, ..., 36.94671, 36.95293,
               36.95916],
              [32.35957, 32.36762, 32.37568, ..., 36.94784, 36.95407,
               36.96029],
      ...
              [32.36458, 32.37264, 32.38069, ..., 36.95211, 36.95834,
               36.96456],
              [32.36576, 32.37382, 32.38187, ..., 36.95312, 36.95935,
               36.96557],
              [32.36875, 32.3768 , 32.38485, ..., 36.95565, 36.96187,
               36.96809]],
      
             [[36.84577, 36.85305, 36.86034, ...,      nan,      nan,
                    nan],
              [36.84694, 36.85423, 36.86151, ...,      nan,      nan,
                    nan],
              [36.84809, 36.85538, 36.86266, ...,      nan,      nan,
                    nan],
              ...,
              [36.85244, 36.85973, 36.86701, ...,      nan,      nan,
                    nan],
              [36.85363, 36.86092, 36.8682 , ...,      nan,      nan,
                    nan],
              [36.86131, 36.8686 , 36.87587, ...,      nan,      nan,
                    nan]]])

    • incidenceAngle
      (swath_nb, dim_azimuthTime, dim_slantRangeTime)
      float64
      30.83 30.84 30.86 ... nan nan nan

      array([[[30.83459, 30.84485, 30.8551 , ...,      nan,      nan,
                    nan],
              [30.83624, 30.8465 , 30.85675, ...,      nan,      nan,
                    nan],
              [30.83786, 30.84811, 30.85837, ...,      nan,      nan,
                    nan],
              ...,
              [30.84389, 30.85414, 30.8644 , ...,      nan,      nan,
                    nan],
              [30.84529, 30.85555, 30.8658 , ...,      nan,      nan,
                    nan],
              [30.84666, 30.85692, 30.86716, ...,      nan,      nan,
                    nan]],
      
             [[36.45078, 36.46017, 36.46954, ..., 41.84979, 41.85721,
               41.86461],
              [36.45212, 36.46152, 36.47089, ..., 41.85092, 41.85832,
               41.86574],
              [36.45343, 36.46281, 36.4722 , ..., 41.85202, 41.85942,
               41.86684],
      ...
              [36.45833, 36.46771, 36.4771 , ..., 41.85612, 41.86353,
               41.87094],
              [36.45947, 36.46886, 36.47824, ..., 41.85709, 41.86449,
               41.87189],
              [36.46262, 36.472  , 36.48138, ..., 41.85971, 41.86711,
               41.87451]],
      
             [[41.7314 , 41.74007, 41.74872, ...,      nan,      nan,
                    nan],
              [41.73254, 41.74121, 41.74986, ...,      nan,      nan,
                    nan],
              [41.73366, 41.74232, 41.75099, ...,      nan,      nan,
                    nan],
              ...,
              [41.73785, 41.74652, 41.75517, ...,      nan,      nan,
                    nan],
              [41.73901, 41.74768, 41.75633, ...,      nan,      nan,
                    nan],
              [41.74734, 41.756  , 41.76466, ...,      nan,      nan,
                    nan]]])

    • gain
      (swath_nb, dim_azimuthTime, dim_slantRangeTime)
      float64
      1.825e+14 1.835e+14 ... nan nan

      array([[[1.82526893e+14, 1.83452645e+14, 1.84379422e+14, ...,
                          nan,            nan,            nan],
              [1.82630854e+14, 1.83556716e+14, 1.84483670e+14, ...,
                          nan,            nan,            nan],
              [1.82735756e+14, 1.83661729e+14, 1.84588791e+14, ...,
                          nan,            nan,            nan],
              ...,
              [1.83109949e+14, 1.84036282e+14, 1.84963765e+14, ...,
                          nan,            nan,            nan],
              [1.83186746e+14, 1.84113210e+14, 1.85040751e+14, ...,
                          nan,            nan,            nan],
              [1.83266743e+14, 1.84193203e+14, 1.85120878e+14, ...,
                          nan,            nan,            nan]],
      
             [[2.14934980e+14, 2.16506220e+14, 2.18076666e+14, ...,
               3.62540546e+14, 3.60873055e+14, 3.59206068e+14],
              [2.15073168e+14, 2.16644311e+14, 2.18214709e+14, ...,
               3.62404771e+14, 3.60737196e+14, 3.59070432e+14],
              [2.15224123e+14, 2.16795163e+14, 2.18365161e+14, ...,
               3.62250113e+14, 3.60582761e+14, 3.58915967e+14],
      ...
              [2.15703515e+14, 2.17274257e+14, 2.18843511e+14, ...,
               3.61791185e+14, 3.60124057e+14, 3.58457433e+14],
              [2.15815272e+14, 2.17385915e+14, 2.18954919e+14, ...,
               3.61683636e+14, 3.60016563e+14, 3.58349993e+14],
              [2.16269540e+14, 2.17839984e+14, 2.19408182e+14, ...,
               3.61182954e+14, 3.59516020e+14, 3.57849674e+14]],
      
             [[6.04707861e+14, 6.11045808e+14, 6.17381043e+14, ...,
                          nan,            nan,            nan],
              [6.05218227e+14, 6.11555729e+14, 6.17890741e+14, ...,
                          nan,            nan,            nan],
              [6.05686178e+14, 6.12023681e+14, 6.18358335e+14, ...,
                          nan,            nan,            nan],
              ...,
              [6.07378490e+14, 6.13714881e+14, 6.20048820e+14, ...,
                          nan,            nan,            nan],
              [6.07822965e+14, 6.14159270e+14, 6.20492764e+14, ...,
                          nan,            nan,            nan],
              [6.13961644e+14, 6.20296031e+14, 6.26627617e+14, ...,
                          nan,            nan,            nan]]])

  • Attributes: (6)

    dim_azimuthTime :

    max dimension of azimuthTime for a swath

    dim_slantRangeTime :

    max dimension of slantRangeTime for a swath

    comment :

    The antenna pattern data set record contains a list of vectors of the antenna elevation pattern values that have been updated along track and used to correct the radiometry during image processing.

    example :

    for example, if swath Y is smaller than swath X, user has to remove nan to get the dims of the swath

    source :

    Sentinel-1 Product Specification

    history :

    antenna_pattern: annotation/s1a.xml: - /product/antennaPattern/antennaPatternList/antennaPattern/swath - /product/antennaPattern/antennaPatternList/antennaPattern/roll - /product/antennaPattern/antennaPatternList/antennaPattern/azimuthTime - /product/antennaPattern/antennaPatternList/antennaPattern/terrainHeight - /product/antennaPattern/antennaPatternList/antennaPattern/elevationAngle - /product/antennaPattern/antennaPatternList/antennaPattern/elevationPattern - /product/antennaPattern/antennaPatternList/antennaPattern/incidenceAngle - /product/antennaPattern/antennaPatternList/antennaPattern/slantRangeTime

  <xarray.DatasetView> Size: 1kB
  Dimensions:           (dim_azimuthTime: 28)
  Dimensions without coordinates: dim_azimuthTime
  Data variables:
      swaths            (dim_azimuthTime) int64 224B 1 1 1 1 1 1 1 ... 3 3 3 3 3 3
      azimuthTime       (dim_azimuthTime) datetime64[ns] 224B 2017-09-07T10:30:...
      firstAzimuthLine  (dim_azimuthTime) int64 224B 0 2190 7880 ... 11751 15574
      lastAzimuthLine   (dim_azimuthTime) int64 224B 2189 7879 ... 15573 16777
      firstRangeSample  (dim_azimuthTime) int64 224B 0 0 0 0 ... 17296 17295 17294
      lastRangeSample   (dim_azimuthTime) int64 224B 8493 8492 ... 25186 25186
  Attributes:
      comment:  The swath merging data set record contains information about ho...
      source:   Sentinel-1 Product Specification
      history:  swath_merging:\n  annotation/s1a.xml:\n  - /product/swathMergin...

  swath_merging

  • Groups: (0)
  • Dimensions:
    • dim_azimuthTime: 28
  • Coordinates: (0)
  • Data variables: (6)
    • swaths
      (dim_azimuthTime)
      int64
      1 1 1 1 1 1 1 2 ... 3 3 3 3 3 3 3 3

      array([1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3,
             3, 3, 3, 3, 3, 3])

    • azimuthTime
      (dim_azimuthTime)
      datetime64[ns]
      2017-09-07T10:30:20.936409 ... 2...

      array(['2017-09-07T10:30:20.936409000', '2017-09-07T10:30:24.199656000',
             '2017-09-07T10:30:32.678137000', '2017-09-07T10:30:36.182775000',
             '2017-09-07T10:30:37.148338000', '2017-09-07T10:30:41.724334000',
             '2017-09-07T10:30:44.868375000', '2017-09-07T10:30:20.936409000',
             '2017-09-07T10:30:24.151974000', '2017-09-07T10:30:24.199656000',
             '2017-09-07T10:30:29.075155000', '2017-09-07T10:30:32.678137000',
             '2017-09-07T10:30:34.230787000', '2017-09-07T10:30:35.345357000',
             '2017-09-07T10:30:36.182775000', '2017-09-07T10:30:37.148338000',
             '2017-09-07T10:30:38.446187000', '2017-09-07T10:30:41.724334000',
             '2017-09-07T10:30:44.142713000', '2017-09-07T10:30:44.868375000',
             '2017-09-07T10:30:20.936409000', '2017-09-07T10:30:24.151974000',
             '2017-09-07T10:30:29.075155000', '2017-09-07T10:30:34.230787000',
             '2017-09-07T10:30:35.345357000', '2017-09-07T10:30:37.148338000',
             '2017-09-07T10:30:38.446187000', '2017-09-07T10:30:44.142713000'],
            dtype='datetime64[ns]')

    • firstAzimuthLine
      (dim_azimuthTime)
      int64
      0 2190 7880 ... 10880 11751 15574

      array([    0,  2190,  7880, 10232, 10880, 13951, 16061,     0,  2158,
              2190,  5462,  7880,  8922,  9670, 10232, 10880, 11751, 13951,
             15574, 16061,     0,  2158,  5462,  8922,  9670, 10880, 11751,
             15574])

    • lastAzimuthLine
      (dim_azimuthTime)
      int64
      2189 7879 10231 ... 15573 16777

      array([ 2189,  7879, 10231, 10879, 13950, 16060, 16777,  2157,  2189,
              5461,  7879,  8921,  9669, 10231, 10879, 11750, 13950, 15573,
             16060, 16777,  2157,  5461,  8921,  9669, 10879, 11750, 15573,
             16777])

    • firstRangeSample
      (dim_azimuthTime)
      int64
      0 0 0 0 ... 17301 17296 17295 17294

      array([    0,     0,     0,     0,     0,     0,     0,  8494,  8494,
              8493,  8493,  8492,  8492,  8492,  8487,  8482,  8482,  8481,
              8481,  8480, 17308, 17307, 17306, 17305, 17301, 17296, 17295,
             17294])

    • lastRangeSample
      (dim_azimuthTime)
      int64
      8493 8492 8491 ... 25186 25186

      array([ 8493,  8492,  8491,  8486,  8481,  8480,  8479, 17307, 17306,
             17306, 17305, 17305, 17304, 17300, 17300, 17295, 17294, 17294,
             17293, 17293, 25186, 25186, 25186, 25186, 25186, 25186, 25186,
             25186])

  • Attributes: (3)

    comment :

    The swath merging data set record contains information about how multiple swaths were stitched together to form one large contiguous swath. This data set record only applies to IW and EW GRD products

    source :

    Sentinel-1 Product Specification

    history :

    swath_merging: annotation/s1a.xml: - /product/swathMerging/swathMergeList/swathMerge/swath - /product/swathMerging/swathMergeList/swathMerge/swathBoundsList/@count - /product/swathMerging/swathMergeList/swathMerge/swathBoundsList/swathBounds/azimuthTime - /product/swathMerging/swathMergeList/swathMerge/swathBoundsList/swathBounds/firstAzimuthLine - /product/swathMerging/swathMergeList/swathMerge/swathBoundsList/swathBounds/lastAzimuthLine - /product/swathMerging/swathMergeList/swathMerge/swathBoundsList/swathBounds/firstRangeSample - /product/swathMerging/swathMergeList/swathMerge/swathBoundsList/swathBounds/lastRangeSample

  <xarray.DatasetView> Size: 68MB
  Dimensions:            (line: 1677, sample: 2518)
  Coordinates:
    * line               (line) float64 13kB 4.5 14.5 24.5 ... 1.675e+04 1.676e+04
    * sample             (sample) float64 20kB 4.5 14.5 ... 2.516e+04 2.517e+04
  Data variables:
      swath_number       (line, sample) int64 34MB 1 1 1 1 1 1 1 ... 3 3 3 3 3 3 3
      swath_number_flag  (line, sample) int64 34MB 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1

  recalibration

  • Groups: (0)
  • Dimensions:
    • line: 1677
    • sample: 2518
  • Coordinates: (2)
    • line
      (line)
      float64
      4.5 14.5 ... 1.675e+04 1.676e+04

      array([4.50000e+00, 1.45000e+01, 2.45000e+01, ..., 1.67445e+04, 1.67545e+04,
             1.67645e+04])

    • sample
      (sample)
      float64
      4.5 14.5 ... 2.516e+04 2.517e+04

      array([4.50000e+00, 1.45000e+01, 2.45000e+01, ..., 2.51545e+04, 2.51645e+04,
             2.51745e+04])

  • Data variables: (2)
    • swath_number
      (line, sample)
      int64
      1 1 1 1 1 1 1 1 ... 3 3 3 3 3 3 3 3

      array([[1, 1, 1, ..., 3, 3, 3],
             [1, 1, 1, ..., 3, 3, 3],
             [1, 1, 1, ..., 3, 3, 3],
             ...,
             [1, 1, 1, ..., 3, 3, 3],
             [1, 1, 1, ..., 3, 3, 3],
             [1, 1, 1, ..., 3, 3, 3]])

    • swath_number_flag
      (line, sample)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

      flag_info :

      0 : no swath 1 : unique swath 2 : undecided swath

      array([[1, 1, 1, ..., 1, 1, 1],
             [1, 1, 1, ..., 1, 1, 1],
             [1, 1, 1, ..., 1, 1, 1],
             ...,
             [1, 1, 1, ..., 1, 1, 1],
             [1, 1, 1, ..., 1, 1, 1],
             [1, 1, 1, ..., 1, 1, 1]])

  • Attributes: (0)

• Dimensions:
• Coordinates: (0)
• Data variables: (0)
• Attributes: (15)

  name :

  SENTINEL1_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE:IW

  short_name :

  SENTINEL1_DS:S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE:IW

  product :

  GRDH

  safe :

  S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE

  swath :

  IW

  multidataset :

  False

  ipf :

  2.84

  platform :

  SENTINEL-1A

  pols :

  VV VH

  start_date :

  2017-09-07 10:30:20.936409

  stop_date :

  2017-09-07 10:30:45.935264

  footprint :

  POLYGON ((-67.84221143971432 20.72564283093837, -70.22162571215458 21.14758369556577, -70.51434171237564 19.64044158236074, -68.15836401927538 19.21519321274318, -67.84221143971432 20.72564283093837))

  coverage :

  170km * 251km (line * sample )

  orbit_pass :

  Descending

  platform_heading :

  -167.7668824808032

# open the dataset with xarray
ds_xsar = xsar.open_dataset(filename, resolution='100m')
ds_xsar

/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/numpy/_core/numeric.py:452: RuntimeWarning: invalid value encountered in cast
  multiarray.copyto(res, fill_value, casting='unsafe')

<xarray.Dataset> Size: 950MB
Dimensions:               (line: 1677, sample: 2518, pol: 2)
Coordinates:
  * line                  (line) float64 13kB 4.5 14.5 ... 1.675e+04 1.676e+04
  * sample                (sample) float64 20kB 4.5 14.5 ... 2.516e+04 2.517e+04
  * pol                   (pol) object 16B 'VV' 'VH'
    spatial_ref           int64 8B 0
Data variables: (12/27)
    digital_number        (pol, line, sample) uint16 17MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    time                  (line) datetime64[ns] 13kB 2017-09-07T10:30:20.9438...
    sampleSpacing         float64 8B 100.0
    lineSpacing           float64 8B 100.0
    gamma0_lut            (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    noise_lut_azi         (pol, line, sample) float32 34MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    ...                    ...
    sigma0_raw            (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    nesz                  (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    gamma0_raw            (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    negz                  (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    sigma0                (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
    gamma0                (pol, line, sample) float64 68MB dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>
Attributes: (12/15)
    name:              SENTINEL1_DS:/home1/scratch/agrouaze/xsardatasync/xsar...
    short_name:        SENTINEL1_DS:S1A_IW_GRDH_1SDV_20170907T103020_20170907...
    product:           GRDH
    safe:              S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_01826...
    swath:             IW
    multidataset:      False
    ...                ...
    start_date:        2017-09-07 10:30:20.936409
    stop_date:         2017-09-07 10:30:45.935264
    footprint:         POLYGON ((-67.84221143971432 20.72564283093837, -70.22...
    coverage:          170km * 251km (line * sample )
    orbit_pass:        Descending
    platform_heading:  -167.7668824808032

xarray.Dataset

• Dimensions:
  • line: 1677
  • sample: 2518
  • pol: 2
• Coordinates: (4)
  • line
    (line)
    float64
    4.5 14.5 ... 1.675e+04 1.676e+04

    units :

    1

    comment :

    azimuth direction, in pixels from full resolution tiff

    axis :

    Y

    array([4.50000e+00, 1.45000e+01, 2.45000e+01, ..., 1.67445e+04, 1.67545e+04,
           1.67645e+04])

  • sample
    (sample)
    float64
    4.5 14.5 ... 2.516e+04 2.517e+04

    units :

    1

    comment :

    cross track direction, in pixels from full resolution tiff

    axis :

    X

    array([4.50000e+00, 1.45000e+01, 2.45000e+01, ..., 2.51545e+04, 2.51645e+04,
           2.51745e+04])

  • pol
    (pol)
    object
    'VV' 'VH'

    comment :

    ordered polarizations (copol, crosspol)

    array(['VV', 'VH'], dtype=object)

  • spatial_ref
    ()
    int64
    0

    crs_wkt :

    GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]

    semi_major_axis :

    6378137.0

    semi_minor_axis :

    6356752.314245179

    inverse_flattening :

    298.257223563

    reference_ellipsoid_name :

    WGS 84

    longitude_of_prime_meridian :

    0.0

    prime_meridian_name :

    Greenwich

    geographic_crs_name :

    WGS 84

    horizontal_datum_name :

    World Geodetic System 1984

    grid_mapping_name :

    latitude_longitude

    spatial_ref :

    GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]

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[-68.37873933881309, 19.332375026117113, 0]}}, {"type": "Feature", "properties": {"id": "8452fd6d-40e8-415c-8bbf-ac0ed95dfb2a", "info": null, "row": 1596, "col": 378}, "geometry": {"type": "Point", "coordinates": [-68.49642665303655, 19.354215118569353, 0]}}, {"type": "Feature", "properties": {"id": "ae3a26cc-c240-4591-9673-4838d6955456", "info": null, "row": 1596, "col": 504}, "geometry": {"type": "Point", "coordinates": [-68.61414517909093, 19.375979178861062, 0]}}, {"type": "Feature", "properties": {"id": "cb87f8c4-d39e-490a-b8d3-37c15b98c6e1", "info": null, "row": 1596, "col": 630}, "geometry": {"type": "Point", "coordinates": [-68.73189497293063, 19.397667118275812, 0]}}, {"type": "Feature", "properties": {"id": "f3dc598a-56c5-44bc-baea-928bc705ca9a", "info": null, "row": 1596, "col": 756}, "geometry": {"type": "Point", "coordinates": [-68.84967603419888, 19.41927883783913, 0]}}, {"type": "Feature", "properties": {"id": "7af788e3-1847-4c5c-a76c-74d0d372db38", "info": null, "row": 1596, "col": 882}, "geometry": {"type": "Point", "coordinates": [-68.96748828493358, 19.440814224626894, 0]}}, {"type": "Feature", "properties": {"id": "e2612180-e390-4b54-a1dd-15c2baff6971", "info": null, "row": 1596, "col": 1008}, "geometry": {"type": "Point", "coordinates": [-69.08533159111593, 19.462273155951472, 0]}}, {"type": "Feature", "properties": {"id": "bb9a9e5d-ef45-4983-a807-da2c2cf5248d", "info": null, "row": 1596, "col": 1134}, "geometry": {"type": "Point", "coordinates": [-69.2032058003518, 19.483655506379627, 0]}}, {"type": "Feature", "properties": {"id": "5cfa1948-b154-4d62-8eec-139cac14848a", "info": null, "row": 1596, "col": 1260}, "geometry": {"type": "Point", "coordinates": [-69.32111077775423, 19.504961154268557, 0]}}, {"type": "Feature", "properties": {"id": "a17087b1-9fc3-4967-8162-3f03f6b68186", "info": null, "row": 1596, "col": 1386}, "geometry": {"type": "Point", "coordinates": [-69.43904642918906, 19.526189985880904, 0]}}, {"type": "Feature", "properties": {"id": "fe42fa49-0788-4752-b90f-6e95da944706", "info": null, "row": 1596, "col": 1512}, "geometry": {"type": "Point", "coordinates": [-69.55701270690616, 19.54734189624913, 0]}}, {"type": "Feature", "properties": {"id": "4f2d39cb-9662-4b50-87d4-9d5cbeaef5f4", "info": null, "row": 1596, "col": 1638}, "geometry": {"type": "Point", "coordinates": [-69.67500959752773, 19.568416786870436, 0]}}, {"type": "Feature", "properties": {"id": "b760bbb0-01bc-4031-ad80-2f92a7239baf", "info": null, "row": 1596, "col": 1764}, "geometry": {"type": "Point", "coordinates": [-69.79303709665182, 19.589414561074502, 0]}}, {"type": "Feature", "properties": {"id": "84483b65-0649-4c23-b706-da606b2b2d70", "info": null, "row": 1596, "col": 1890}, "geometry": {"type": "Point", "coordinates": [-69.91109517812691, 19.61033511855525, 0]}}, {"type": "Feature", "properties": {"id": "8102226d-4fdf-40ff-a100-bc3dd8f8df78", "info": null, "row": 1596, "col": 2016}, "geometry": {"type": "Point", "coordinates": [-70.02918376949758, 19.631178351119303, 0]}}, {"type": "Feature", "properties": {"id": "a78dc196-6ea2-4673-91fb-abf8634b1366", "info": null, "row": 1596, "col": 2142}, "geometry": {"type": "Point", "coordinates": [-70.14730274831028, 19.651944142199298, 0]}}, {"type": "Feature", "properties": {"id": "8eebe4d2-774c-42a7-a806-d1db1adf8e69", "info": null, "row": 1596, "col": 2268}, "geometry": {"type": "Point", "coordinates": [-70.265451976978, 19.672632373123704, 0]}}, {"type": "Feature", "properties": {"id": "35855393-4c43-4b05-9cd4-2e8013cf7f73", "info": null, "row": 1596, "col": 2394}, "geometry": {"type": "Point", "coordinates": [-70.38363139623996, 19.693242940907773, 0]}}]}

    array(0)

• Data variables: (27)
  • digital_number
    (pol, line, sample)
    uint16
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    comment :

    denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

    history :

    digital_number: measurement/s1a-iw-grd-v*-20170907t103020-20170907t103045-018268-01eb76-00*.tiff

    Array Chunk Bytes 16.11 MiB 8.05 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 5 graph layers Data type uint16 numpy.ndarray

  • time
    (line)
    datetime64[ns]
    2017-09-07T10:30:20.943839488 .....

    description :

    azimuth times interpolated along line dimension at the middle of range dimension

    array(['2017-09-07T10:30:20.943839488', '2017-09-07T10:30:20.958740224',
           '2017-09-07T10:30:20.973640704', ...,
           '2017-09-07T10:30:45.887559936', '2017-09-07T10:30:45.902460416',
           '2017-09-07T10:30:45.917361152'], dtype='datetime64[ns]')

  • sampleSpacing
    ()
    float64
    100.0

    units :

    m

    referential :

    ground

    array(100.)

  • lineSpacing
    ()
    float64
    100.0

    units :

    m

    array(100.)

  • gamma0_lut
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float64 numpy.ndarray

  • noise_lut_azi
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath

    Array Chunk Bytes 32.22 MiB 16.11 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float32 numpy.ndarray

  • noise_lut_range
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

    Array Chunk Bytes 32.22 MiB 16.11 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float32 numpy.ndarray

  • sigma0_lut
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 12 graph layers Data type float64 numpy.ndarray

  • noise_lut
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

    Array Chunk Bytes 32.22 MiB 16.11 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 22 graph layers Data type float32 numpy.ndarray

  • ground_heading
    (line, sample)
    float32
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    comment :

    at ground level, computed from lon/lat in azimuth direction

    long_name :

    Platform heading (azimuth from North)

    units :

    Degrees

    Array Chunk Bytes 16.11 MiB 16.11 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float32 numpy.ndarray

  • land_mask
    (line, sample)
    int8
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    land_mask: cartopy.feature.NaturalEarthFeature land

    meaning :

    0: ocean , 1: land

    Array Chunk Bytes 4.03 MiB 4.03 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 3 graph layers Data type int8 numpy.ndarray

  • altitude
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    height: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/height

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • azimuth_time
    (line, sample)
    datetime64[ns]
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    azimuthTime: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/azimuthTime

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type datetime64[ns] numpy.ndarray

  • slant_range_time
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    slantRangeTime: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/slantRangeTime

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • incidence
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    incidenceAngle: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/incidenceAngle

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • elevation
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    elevationAngle: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/elevationAngle

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • longitude
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    longitude: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/longitude

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • latitude
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    history :

    latitude: annotation/s1a.xml: - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/line - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/pixel - /product/geolocationGrid/geolocationGridPointList/geolocationGridPoint/latitude

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • offboresight
    (line, sample)
    float64
    dask.array<chunksize=(1677, 2518), meta=np.ndarray>

    Array Chunk Bytes 32.22 MiB 32.22 MiB Shape (1677, 2518) (1677, 2518) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • velocity
    (line)
    float64
    7.597e+03 7.597e+03 ... 7.598e+03

    array([7597.45195742, 7597.45206993, 7597.45218243, ..., 7597.62535865,
           7597.6254515 , 7597.62554434])

  • range_ground_spacing
    (sample)
    float64
    10.0 10.0 10.0 ... 10.0 10.0 10.0

    array([10., 10., 10., ..., 10., 10., 10.])

  • sigma0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    sigma0_raw: sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

    references :

    https://sentinel.esa.int/web/sentinel/radiometric-calibration-of-level-1-products

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 22 graph layers Data type float64 numpy.ndarray

  • nesz
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    nesz: noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 34 graph layers Data type float64 numpy.ndarray

  • gamma0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    gamma0_raw: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma

    references :

    https://sentinel.esa.int/web/sentinel/radiometric-calibration-of-level-1-products

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 22 graph layers Data type float64 numpy.ndarray

  • negz
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    negz: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 34 graph layers Data type float64 numpy.ndarray

  • sigma0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    sigma0: nesz: noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought sigma0_raw: sigma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/sigmaNought

    comment_recalibration :

    kersten recalibration not applied

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 44 graph layers Data type float64 numpy.ndarray

  • gamma0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 1677, 2518), meta=np.ndarray>

    history :

    gamma0: gamma0_raw: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma negz: gamma0_lut: annotation/calibration/calibration.xml: //calibration/calibrationVectorList/calibrationVector/gamma noise_lut: noise_lut_azi_raw_grd: annotation/calibration/noise.xml: - /noise/noiseAzimuthVectorList/noiseAzimuthVector/line - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastAzimuthLine - /noise/noiseAzimuthVectorList/noiseAzimuthVector/firstRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/lastRangeSample - /noise/noiseAzimuthVectorList/noiseAzimuthVector/noiseAzimuthLut - /noise/noiseAzimuthVectorList/noiseAzimuthVector/swath noise_lut_range_raw: annotation/calibration/noise.xml: - /noise/noiseRangeVectorList/noiseRangeVector/line | /noise/noiseVectorList/noiseVector/line - /noise/noiseRangeVectorList/noiseRangeVector/pixel | /noise/noiseVectorList/noiseVector/pixel - /noise/noiseRangeVectorList/noiseRangeVector/noiseRangeLut | /noise/noiseVectorList/noiseVector/noiseLut - /noise/noiseRangeVectorList/noiseRangeVector/azimuthTime

    comment_recalibration :

    kersten recalibration not applied

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 64.43 MiB 32.22 MiB Shape (2, 1677, 2518) (1, 1677, 2518) Dask graph 2 chunks in 44 graph layers Data type float64 numpy.ndarray

• Indexes: (3)
  • line
    PandasIndex

    PandasIndex(Index([    4.5,    14.5,    24.5,    34.5,    44.5,    54.5,    64.5,    74.5,
              84.5,    94.5,
           ...
           16674.5, 16684.5, 16694.5, 16704.5, 16714.5, 16724.5, 16734.5, 16744.5,
           16754.5, 16764.5],
          dtype='float64', name='line', length=1677))

  • sample
    PandasIndex

    PandasIndex(Index([    4.5,    14.5,    24.5,    34.5,    44.5,    54.5,    64.5,    74.5,
              84.5,    94.5,
           ...
           25084.5, 25094.5, 25104.5, 25114.5, 25124.5, 25134.5, 25144.5, 25154.5,
           25164.5, 25174.5],
          dtype='float64', name='sample', length=2518))

  • pol
    PandasIndex

    PandasIndex(Index(['VV', 'VH'], dtype='object', name='pol'))

• Attributes: (15)

  name :

  SENTINEL1_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE:IW

  short_name :

  SENTINEL1_DS:S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE:IW

  product :

  GRDH

  safe :

  S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE

  swath :

  IW

  multidataset :

  False

  ipf :

  2.84

  platform :

  SENTINEL-1A

  pols :

  VV VH

  start_date :

  2017-09-07 10:30:20.936409

  stop_date :

  2017-09-07 10:30:45.935264

  footprint :

  POLYGON ((-67.84221143971432 20.72564283093837, -70.22162571215458 21.14758369556577, -70.51434171237564 19.64044158236074, -68.15836401927538 19.21519321274318, -67.84221143971432 20.72564283093837))

  coverage :

  170km * 251km (line * sample )

  orbit_pass :

  Descending

  platform_heading :

  -167.7668824808032

# we use here 'rasterize' to display the image, because the full image is really big
rasterize(hv.Image(ds_xsar.sigma0.sel(pol='VH')).opts(cmap='gray',colorbar=True,tools=['hover'],title="xsar",width=800,height=800,clim=(0,0.02)))

RadarSat2 example

# get test file. You can replace with an path to other SAFE
filename = xsar.get_test_file('RS2_OK135107_PK1187782_DK1151894_SCWA_20220407_182127_VV_VH_SGF')
filename

'/home1/scratch/agrouaze/xsardatasync/xsardata/RS2_OK135107_PK1187782_DK1151894_SCWA_20220407_182127_VV_VH_SGF'

# open the datatree with xarray
dt_xsar = xsar.open_datatree(filename,resolution='100m')
dt_xsar

/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:299: UserWarning: no explicit representation of timezones available for np.datetime64
  timestamp.append(np.datetime64(value["timeStamp"]).astype("datetime64[ns]"))
/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:462: UserWarning: no explicit representation of timezones available for np.datetime64
  timestamp.append(np.datetime64(value["timeStamp"]).astype("datetime64[ns]"))
/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:570: UserWarning: no explicit representation of timezones available for np.datetime64
  times.append(np.datetime64(value["timeOfDopplerCentroidEstimate"]).astype("datetime64[ns]"))
/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:2056: UserWarning: no explicit representation of timezones available for np.datetime64
  final_dic[key] = np.datetime64(dic[key]).astype("datetime64[ns]")

<xarray.DatasetView> Size: 0B
Dimensions:  ()
Data variables:
    *empty*
Attributes: (12/18)
    product_path:           /home1/scratch/agrouaze/xsardatasync/xsardata/RS2...
    satellite:              RADARSAT-2
    inputDatasetId:         /Fred/RSAT-2/610044P
    rawDataStartTime:       2022-04-07T18:21:27.688416000
    satelliteHeight_units:  m
    satelliteHeight:        800612.0083192665
    ...                     ...
    stop_date:              2022-04-07 18:22:44.030964
    footprint:              POLYGON ((168.8147284622835 -19.82390747944243, 1...
    coverage:               515km * 530km (line * sample )
    pixel_line_m:           50.0
    pixel_sample_m:         50.0
    approx_transform:       |-0.00,-0.00, 168.85|\n|-0.00, 0.00,-19.85|\n| 0....

datatree.DataTree

• Groups: (8)
  <xarray.DatasetView> Size: 5GB
  Dimensions:          (line: 5138, pol: 2, sample: 5309)
  Coordinates:
    * line             (line) float64 41kB 0.5 2.5 4.5 ... 1.027e+04 1.027e+04
    * pol              (pol) <U2 16B 'VV' 'VH'
    * sample           (sample) float64 42kB 0.5 2.5 4.5 ... 1.061e+04 1.062e+04
  Data variables: (12/23)
      digital_number   (pol, line, sample) uint16 109MB dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>
      lines_flipped    bool 1B False
      samples_flipped  bool 1B True
      sampleSpacing    float64 8B 100.0
      lineSpacing      float64 8B 100.0
      sigma0_raw       (pol, line, sample) float64 436MB dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>
      ...               ...
      time             (line) datetime64[ns] 41kB dask.array<chunksize=(5000,), meta=np.ndarray>
      latitude         (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
      longitude        (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
      altitude         (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
      incidence        (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
      elevation        (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>

  measurement

  • Groups: (0)
  • Dimensions:
    • line: 5138
    • pol: 2
    • sample: 5309
  • Coordinates: (3)
    • line
      (line)
      float64
      0.5 2.5 4.5 ... 1.027e+04 1.027e+04

      array([5.00000e-01, 2.50000e+00, 4.50000e+00, ..., 1.02705e+04, 1.02725e+04,
             1.02745e+04])

    • pol
      (pol)
      <U2
      'VV' 'VH'

      array(['VV', 'VH'], dtype='<U2')

    • sample
      (sample)
      float64
      0.5 2.5 4.5 ... 1.061e+04 1.062e+04

      array([5.00000e-01, 2.50000e+00, 4.50000e+00, ..., 1.06125e+04, 1.06145e+04,
             1.06165e+04])

  • Data variables: (23)
    • digital_number
      (pol, line, sample)
      uint16
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      comment :

      not denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

      history :

      digital_number: imagery_V*.tif

      Array Chunk Bytes 104.06 MiB 47.68 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 5 graph layers Data type uint16 numpy.ndarray

    • lines_flipped
      ()
      bool
      False

      meaning :

      xsar convention : increasing time along line axis (whatever ascending or descending pass direction)

      array(False)

    • samples_flipped
      ()
      bool
      True

      meaning :

      xsar convention : increasing incidence values along samples axis

      array(True)

    • sampleSpacing
      ()
      float64
      100.0

      units :

      m

      referential :

      ground

      array(100.)

    • lineSpacing
      ()
      float64
      100.0

      units :

      m

      array(100.)

    • sigma0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 21 graph layers Data type float64 numpy.ndarray

    • nesz
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      Array Chunk Bytes 208.11 MiB 95.37 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 11 graph layers Data type float32 numpy.ndarray

    • gamma0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 21 graph layers Data type float64 numpy.ndarray

    • negz
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      Array Chunk Bytes 208.11 MiB 95.37 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 11 graph layers Data type float32 numpy.ndarray

    • beta0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 21 graph layers Data type float64 numpy.ndarray

    • nebz
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      Array Chunk Bytes 208.11 MiB 95.37 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 11 graph layers Data type float32 numpy.ndarray

    • sigma0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 32 graph layers Data type float64 numpy.ndarray

    • beta0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 32 graph layers Data type float64 numpy.ndarray

    • gamma0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 32 graph layers Data type float64 numpy.ndarray

    • land_mask
      (line, sample)
      int8
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      history :

      land_mask: cartopy.feature.NaturalEarthFeature land

      meaning :

      0: ocean , 1: land

      Array Chunk Bytes 26.01 MiB 23.84 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 3 graph layers Data type int8 numpy.ndarray

    • velocity
      (line)
      float64
      7.546e+03 7.546e+03 ... 7.544e+03

      array([7546.2558328 , 7546.25546302, 7546.25509325, ..., 7544.26713323,
             7544.26672972, 7544.26632621])

    • ground_heading
      (line, sample)
      float32
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      comment :

      at ground level, computed from lon/lat in azimuth direction

      long_name :

      Platform heading (azimuth from North)

      units :

      Degrees

      Array Chunk Bytes 104.06 MiB 95.37 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float32 numpy.ndarray

    • time
      (line)
      datetime64[ns]
      dask.array<chunksize=(5000,), meta=np.ndarray>

      Array Chunk Bytes 40.14 kiB 39.06 kiB Shape (5138,) (5000,) Dask graph 2 chunks in 5 graph layers Data type datetime64[ns] numpy.ndarray

    • latitude
      (line, sample)
      float64
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      history :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/latitude

      Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float64 numpy.ndarray

    • longitude
      (line, sample)
      float64
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      history :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/longitude

      Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float64 numpy.ndarray

    • altitude
      (line, sample)
      float64
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      history :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/height

      Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float64 numpy.ndarray

    • incidence
      (line, sample)
      float64
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 38 graph layers Data type float64 numpy.ndarray

    • elevation
      (line, sample)
      float64
      dask.array<chunksize=(5000, 309), meta=np.ndarray>

      Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 44 graph layers Data type float64 numpy.ndarray

  • Attributes: (0)

  <xarray.DatasetView> Size: 3kB
  Dimensions:    (line: 11, pixel: 11)
  Coordinates:
    * line       (line) int64 88B 0 1027 2055 3082 4110 ... 7193 8220 9248 10276
    * pixel      (pixel) int64 88B 0 1061 2123 3185 4246 ... 7431 8493 9555 10617
  Data variables:
      latitude   (line, pixel) float64 968B -19.82 -19.71 -19.6 ... -23.23 -23.1
      longitude  (line, pixel) float64 968B 168.8 168.3 167.8 ... 163.1 162.6
      height     (line, pixel) float64 968B 19.01 19.01 19.01 ... 19.01 19.01
  Attributes: (12/15)
      productFormat:                               GeoTIFF
      outputMediaInterleaving:                     BSQ
      rasterAttributes_dataType:                   Magnitude Detected
      rasterAttributes_bitsPerSample_dataStream:   Magnitude
      rasterAttributes_bitsPerSample_value:        16
      rasterAttributes_numberOfSamplesPerLine:     10618
      ...                                          ...
      rasterAttributes_sampledLineSpacing_units:   m
      rasterAttributes_sampledLineSpacing_value:   50.0
      rasterAttributes_lineTimeOrdering:           Increasing
      rasterAttributes_pixelTimeOrdering:          Decreasing
      footprint:                                   POLYGON ((168.8147284622835 ...
      history:                                     annotations

  geolocation_annotation

  • Groups: (0)
  • Dimensions:
    • line: 11
    • pixel: 11
  • Coordinates: (2)
    • line
      (line)
      int64
      0 1027 2055 ... 8220 9248 10276

      rasterAttributes_sampledLineSpacing_units :

      m

      rasterAttributes_sampledLineSpacing_value :

      50.0

      array([    0,  1027,  2055,  3082,  4110,  5138,  6165,  7193,  8220,  9248,
             10276])

    • pixel
      (pixel)
      int64
      0 1061 2123 ... 8493 9555 10617

      rasterAttributes_sampledPixelSpacing_units :

      m

      rasterAttributes_sampledPixelSpacing_value :

      50.0

      array([    0,  1061,  2123,  3185,  4246,  5308,  6370,  7431,  8493,  9555,
             10617])

  • Data variables: (3)
    • latitude
      (line, pixel)
      float64
      -19.82 -19.71 ... -23.23 -23.1

      units :

      deg

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/latitude

      Description :

      Geodetic latitude (units = deg)

      array([[-19.82390748, -19.71020793, -19.59518856, -19.47886136,
              -19.36122117, -19.24226667, -19.1220062 , -19.00045628,
              -18.87763654, -18.75356264, -18.62823754],
             [-20.27630107, -20.16231142, -20.04696894, -19.93028583,
              -19.81225703, -19.69288137, -19.57216733, -19.45013163,
              -19.32679418, -19.20217088, -19.0762649 ],
             [-20.7286158 , -20.61433017, -20.49865901, -20.38161455,
              -20.26319178, -20.14338957, -20.02221652, -19.89968957,
              -19.77582886, -19.65065054, -19.52415799],
             [-21.18084653, -21.0662625 , -20.95025957, -20.83285024,
              -20.7140296 , -20.59379666, -20.4721602 , -20.34913737,
              -20.22474858, -20.09901026, -19.97192602],
             [-21.63299412, -21.51810544, -21.40176486, -21.28398491,
              -21.16476073, -21.04409139, -20.92198579, -20.79846131,
              -20.67353862, -20.5472344 , -20.41955247],
             [-22.08505314, -21.96985713, -21.85317556, -21.7350212 ,
              -21.61538931, -21.4942791 , -21.37169966, -21.24766861,
              -21.12220688, -20.99533146, -20.86704641],
             [-22.53702463, -22.42151504, -22.3044865 , -22.18595187,
              -22.06590644, -21.94434951, -21.82129032, -21.69674671,
              -21.57073989, -21.44328712, -21.3143927 ],
             [-22.9889047 , -22.87307839, -22.75569914, -22.63678005,
              -22.51631656, -22.39430811, -22.27076412, -22.14570268,
              -22.01914531, -21.89110956, -21.76159999],
             [-23.44069154, -23.32454219, -23.20680616, -23.08749663,
              -22.96660909, -22.84414307, -22.72010818, -22.59452272,
              -22.4674085 , -22.33878338, -22.20865218],
             [-23.89238427, -23.77590827, -23.65781128, -23.53810674,
              -23.41679026, -23.29386151, -23.16933029, -23.04321519,
              -22.91553832, -22.78631785, -22.65555886],
             [-24.34397982, -24.22717071, -24.10870651, -23.98860074,
              -23.86684907, -23.74345129, -23.61841737, -23.49176614,
              -23.36352001, -23.23369749, -23.1023039 ]])

    • longitude
      (line, pixel)
      float64
      168.8 168.3 167.8 ... 163.1 162.6

      units :

      deg

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/longitude

      Description :

      Geodetic longitude (units = deg)

      array([[168.81472846, 168.32249998, 167.83104776, 167.3403784 ,
              166.85042686, 166.36114675, 165.8725324 , 165.38461077,
              164.89741948, 164.41097839, 163.9252573 ],
             [168.70275313, 168.20919687, 167.71643791, 167.22448332,
              166.7332681 , 166.24274597, 165.75291152, 165.26379215,
              164.77542596, 164.28783332, 163.8009844 ],
             [168.59021038, 168.09528215, 167.60117481, 167.10789509,
              166.61537758, 166.12357585, 165.63248458, 165.1421315 ,
              164.65255515, 164.16377635, 163.67576561],
             [168.4770878 , 167.98075825, 167.48527126, 166.9906341 ,
              166.49678145, 166.00366702, 165.51128579, 165.01966592,
              164.52884651, 164.03884889, 163.54964396],
             [168.36337334, 167.86559656, 167.36868687, 166.87265114,
              166.37742364, 165.8829579 , 165.38924904, 164.89632555,
              164.404227  , 163.91297518, 163.42254136],
             [168.24903707, 167.7497828 , 167.25141823, 166.75395076,
              166.25731472, 165.76146379, 165.26639337, 164.77213245,
              164.27872114, 163.78618179, 163.29448607],
             [168.1340763 , 167.63329861, 167.13343584, 166.63449509,
              166.13641032, 165.63913507, 165.14266489, 164.64702914,
              164.15226843, 163.65840563, 163.16541277],
             [168.01846251, 167.51612903, 167.01473415, 166.51428544,
              166.01471693, 165.51598225, 165.01807728, 164.52103186,
              164.02488719, 163.52966671, 163.03534287],
             [167.90219443, 167.39825892, 166.89528815, 166.39328939,
              165.89219631, 165.39196244, 164.89258381, 164.39409068,
              163.89652478, 163.39991005, 162.90421938],
             [167.78524631, 167.27967433, 166.775092  , 166.27150701,
              165.76885299, 165.26708358, 164.76619513, 164.26621839,
              163.7671957 , 163.2691516 , 162.77205941],
             [167.66760391, 167.16034863, 166.65411027, 166.1488962 ,
              165.64463967, 165.1412942 , 164.63885631, 164.13735718,
              163.6368397 , 163.13732896, 162.63879872]])

    • height
      (line, pixel)
      float64
      19.01 19.01 19.01 ... 19.01 19.01

      units :

      m

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/height

      Description :

      Geodetic height above reference ellipsoid (units = m)

      array([[19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975],
             [19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975, 19.00683975, 19.00683975, 19.00683975, 19.00683975,
              19.00683975]])

  • Attributes: (15)

    productFormat :

    GeoTIFF

    outputMediaInterleaving :

    BSQ

    rasterAttributes_dataType :

    Magnitude Detected

    rasterAttributes_bitsPerSample_dataStream :

    Magnitude

    rasterAttributes_bitsPerSample_value :

    16

    rasterAttributes_numberOfSamplesPerLine :

    10618

    rasterAttributes_numberOfLines :

    10277

    rasterAttributes_sampledPixelSpacing_units :

    m

    rasterAttributes_sampledPixelSpacing_value :

    50.0

    rasterAttributes_sampledLineSpacing_units :

    m

    rasterAttributes_sampledLineSpacing_value :

    50.0

    rasterAttributes_lineTimeOrdering :

    Increasing

    rasterAttributes_pixelTimeOrdering :

    Decreasing

    footprint :

    POLYGON ((168.8147284622835 -19.82390747944243, 163.9252572974075 -18.62823753782336, 162.6387987182235 -23.10230390032916, 167.6676039112585 -24.34397982283393, 168.8147284622835 -19.82390747944243))

    history :

    annotations

  <xarray.DatasetView> Size: 340kB
  Dimensions:     (pixel: 10618)
  Coordinates:
    * pixel       (pixel) int64 85kB 0 1 2 3 4 5 ... 10613 10614 10615 10616 10617
  Data variables:
      sigma0_lut  (pixel) float64 85kB 4.071e+07 4.07e+07 ... 1.785e+07 1.785e+07
      gamma0_lut  (pixel) float64 85kB 3.838e+07 3.837e+07 ... 1.158e+07 1.157e+07
      beta0_lut   (pixel) float64 85kB 1.358e+07 1.358e+07 ... 1.358e+07 1.358e+07
  Attributes:
      Description:  RADARSAT Product LUT. (c) COPYRIGHT MacDonald Dettwiler and...
      history:      annotations

  lut

  • Groups: (0)
  • Dimensions:
    • pixel: 10618
  • Coordinates: (1)
    • pixel
      (pixel)
      int64
      0 1 2 3 ... 10614 10615 10616 10617

      array([    0,     1,     2, ..., 10615, 10616, 10617])

  • Data variables: (3)
    • sigma0_lut
      (pixel)
      float64
      4.071e+07 4.07e+07 ... 1.785e+07

      offset :

      0.0

      array([40709550., 40702230., 40694940., ..., 17846740., 17846190.,
             17845640.])

    • gamma0_lut
      (pixel)
      float64
      3.838e+07 3.837e+07 ... 1.157e+07

      offset :

      0.0

      array([38376630., 38368870., 38361140., ..., 11576030., 11575180.,
             11574340.])

    • beta0_lut
      (pixel)
      float64
      1.358e+07 1.358e+07 ... 1.358e+07

      offset :

      0.0

      array([13583140., 13583140., 13583140., ..., 13583140., 13583140.,
             13583140.])

  • Attributes: (2)

    Description :

    RADARSAT Product LUT. (c) COPYRIGHT MacDonald Dettwiler and Associates Ltd., 2003 All Rights Reserved.Three output scaling Look-up Tables (LUTs) are included with every product. These LUTs allow one to convert the digital numbers foundin the output product to sigma-nought, beta-nought, or gamma-noughtvalues (depending on which LUT is used) by applying a constantoffset and range dependent gain to the SAR imagery.There is one entry in the gains list for each range sample in theimagery. In order to convert the digital number of a given rangesample to a calibrated value, the digital value is first squared,then the offset (B) is added and the result is divided by thegain value (A) corresponding to the range sample.i.e., calibrated value = ( digital value^2 + B ) / A

    history :

    annotations

  <xarray.DatasetView> Size: 3kB
  Dimensions:           (beam: 4, pole: 2, pixel: 99)
  Coordinates:
    * beam              (beam) <U3 48B 'W1' 'W2' 'W30' 'S7'
    * pole              (pole) <U2 16B 'VH' 'VV'
    * pixel             (pixel) int64 792B 0 1 2 3 4 5 6 ... 92 93 94 95 96 97 98
  Data variables:
      beta0_noise_lut   (pixel) float64 792B -22.05 -23.83 ... -26.65 -25.52
      sigma0_noise_lut  (pixel) float64 792B -26.78 -28.48 -29.21 ... -27.84 -26.7
      gamma0_noise_lut  (pixel) float64 792B -26.51 -28.2 -28.93 ... -25.98 -24.82

  noise_lut

  • Groups: (0)
  • Dimensions:
    • beam: 4
    • pole: 2
    • pixel: 99
  • Coordinates: (3)
    • beam
      (beam)
      <U3
      'W1' 'W2' 'W30' 'S7'

      array(['W1', 'W2', 'W30', 'S7'], dtype='<U3')

    • pole
      (pole)
      <U2
      'VH' 'VV'

      array(['VH', 'VV'], dtype='<U2')

    • pixel
      (pixel)
      int64
      0 1 2 3 4 5 6 ... 93 94 95 96 97 98

      array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
             18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
             36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
             54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
             72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
             90, 91, 92, 93, 94, 95, 96, 97, 98])

  • Data variables: (3)
    • beta0_noise_lut
      (pixel)
      float64
      -22.05 -23.83 ... -26.65 -25.52

      pixelFirstNoiseValue :

      33

      stepSize :

      108

      numberOfNoiseLevelValues :

      99

      xpath :

      /product/sourceAttributes/radarParameters/referenceNoiseLevel/noiseLevelValues

      noiseLevelValues_units :

      dB

      Description :

      Estimated noise level values as a function of georeferenced image pixel position in range. For SSG and SPG products, these apply to intermediate georeferenced image data prior to geocoding. (units = dB)

      array([-22.0480309, -23.8308601, -24.6454506, -24.8271008, -24.5917206,
             -24.2823792, -24.0880699, -24.16012  , -24.3325596, -24.4630699,
             -24.4747009, -24.3628807, -24.2323208, -24.1418209, -24.1742001,
             -24.3378296, -24.5296803, -24.6641808, -24.7199593, -24.7104893,
             -24.6347198, -24.5283108, -24.4534492, -24.5001793, -24.6506805,
             -24.8547897, -25.1622391, -25.4442997, -25.6879005, -25.6855793,
             -25.3954391, -24.6379108, -26.3336792, -26.6781902, -26.5182705,
             -26.0002708, -25.47616  , -24.9876404, -24.7475109, -24.9693298,
             -25.5615807, -26.2679996, -26.8668308, -27.1953201, -27.1978703,
             -26.8729706, -26.3505802, -25.7925892, -25.39958  , -25.4009094,
             -25.7947006, -26.49226  , -27.2579708, -27.8481808, -28.1557598,
             -28.0971909, -27.62146  , -26.7268295, -25.5062504, -25.5776691,
             -25.67976  , -25.8911991, -26.2002907, -26.52981  , -26.8151493,
             -26.9865208, -27.03685  , -26.9238396, -26.7098198, -26.4480991,
             -26.1808109, -26.0066204, -25.9750309, -26.0835495, -26.2642899,
             -26.4492493, -26.5925102, -26.5693398, -26.3428802, -28.0349197,
             -28.3677692, -28.3973598, -28.2351894, -27.9366703, -27.5906696,
             -27.2849808, -27.0888195, -27.0662594, -27.2208996, -27.5067596,
             -27.86273  , -28.2094593, -28.4701309, -28.5607796, -28.4260101,
             -28.05089  , -27.4847393, -26.6474609, -25.5237503])

    • sigma0_noise_lut
      (pixel)
      float64
      -26.78 -28.48 ... -27.84 -26.7

      pixelFirstNoiseValue :

      33

      stepSize :

      108

      numberOfNoiseLevelValues :

      99

      xpath :

      /product/sourceAttributes/radarParameters/referenceNoiseLevel/noiseLevelValues

      noiseLevelValues_units :

      dB

      Description :

      Estimated noise level values as a function of georeferenced image pixel position in range. For SSG and SPG products, these apply to intermediate georeferenced image data prior to geocoding. (units = dB)

      array([-26.7759094, -28.4762707, -29.2104492, -29.3136806, -29.0017891,
             -28.6177807, -28.3505707, -28.3514309, -28.4543304, -28.5168991,
             -28.4621296, -28.2853909, -28.0913601, -27.9387798, -27.9104195,
             -28.0146294, -28.1483307, -28.2259007, -28.2259407, -28.1618996,
             -28.0326595, -27.8738995, -27.7477303, -27.7441807, -27.8454094,
             -28.0012207, -28.2613201, -28.4969406, -28.6950207, -28.6480408,
             -28.3140793, -27.5135803, -29.1671791, -29.4703102, -29.2697906,
             -28.7119293, -28.1486893, -27.6217594, -27.3439102, -27.5286903,
             -28.0845699, -28.75527  , -29.3190193, -29.6130295, -29.5817204,
             -29.2235508, -28.6684608, -28.0783501, -27.6537609, -27.6240501,
             -27.9873409, -28.6548996, -29.39114  , -29.9523506, -30.2314301,
             -30.1448402, -29.6415405, -28.7198105, -27.4725704, -27.5177708,
             -27.5940495, -27.7801208, -28.0642395, -28.3691998, -28.6303596,
             -28.7779503, -28.8048706, -28.6688194, -28.4321308, -28.1480999,
             -27.8588409, -27.6630306, -27.6101398, -27.69771  , -27.8578091,
             -28.0224609, -28.14571  , -28.1028309, -27.8569794, -29.5299091,
             -29.8439407, -29.8549995, -29.6745605, -29.3580608, -28.9943409,
             -28.6711998, -28.45784  , -28.4183407, -28.5562801, -28.8257008,
             -29.1654491, -29.4962006, -29.7411308, -29.8162594, -29.6662006,
             -29.2759991, -28.6949902, -27.84305  , -26.7049007])

    • gamma0_noise_lut
      (pixel)
      float64
      -26.51 -28.2 ... -25.98 -24.82

      pixelFirstNoiseValue :

      33

      stepSize :

      108

      numberOfNoiseLevelValues :

      99

      xpath :

      /product/sourceAttributes/radarParameters/referenceNoiseLevel/noiseLevelValues

      noiseLevelValues_units :

      dB

      Description :

      Estimated noise level values as a function of georeferenced image pixel position in range. For SSG and SPG products, these apply to intermediate georeferenced image data prior to geocoding. (units = dB)

      array([-26.5146694, -28.2042599, -28.9274807, -29.0195599, -28.6963501,
             -28.3008308, -28.0219402, -28.0109501, -28.10182  , -28.1521893,
             -28.0850506, -27.8957806, -27.6890507, -27.5236206, -27.4822502,
             -27.5732803, -27.6936607, -27.7577496, -27.7441597, -27.6663494,
             -27.5231991, -27.3503704, -27.2099991, -27.1921101, -27.2788696,
             -27.4200706, -27.6654301, -27.8861809, -28.0692596, -28.0071602,
             -27.6579609, -26.8420906, -28.4802094, -28.7677402, -28.5514908,
             -27.9778099, -27.3986301, -26.8556404, -26.5616398, -26.7301693,
             -27.26968  , -27.9239101, -28.4710999, -28.7484493, -28.7003899,
             -28.3253593, -27.7533302, -27.1461906, -26.7044792, -26.6575699,
             -27.0035591, -27.6537495, -28.37253  , -28.9162102, -29.1776695,
             -29.0733891, -28.55233  , -27.6127491, -26.3476009, -26.3748093,
             -26.4330502, -26.6009998, -26.86693  , -27.1536293, -27.3964806,
             -27.5256901, -27.5341702, -27.3796291, -27.1243801, -26.8217392,
             -26.5138092, -26.2992802, -26.2276192, -26.2963505, -26.4375801,
             -26.5832901, -26.6875706, -26.6256695, -26.3607407, -28.0145607,
             -28.3094196, -28.3012695, -28.1015892, -27.7658005, -27.38274  ,
             -27.0402298, -26.8074608, -26.7485104, -26.8669605, -27.1168499,
             -27.4370499, -27.7481995, -27.9734993, -28.0289593, -27.8591995,
             -27.4492702, -26.8484993, -25.9767704, -24.8187904])

  • Attributes: (0)

  <xarray.DatasetView> Size: 1kB
  Dimensions:                         (beam: 4, pole: 2, pixel: 99)
  Coordinates:
    * beam                            (beam) <U3 48B 'W1' 'W2' 'W30' 'S7'
    * pole                            (pole) <U2 16B 'VH' 'VV'
    * pixel                           (pixel) int64 792B 0 1 2 3 4 ... 95 96 97 98
  Data variables:
      pulsesReceivedPerDwell          (beam) int64 32B 58 58 58 58
      numberOfPulseIntervalsPerDwell  (beam) int64 32B 65 66 65 67
      rank                            (beam) int64 32B 7 8 7 9
      settableGain                    (beam, pole) float64 64B -1.0 -1.0 ... -1.0
      pulseRepetitionFrequency        (beam) float64 32B 1.272e+03 ... 1.284e+03
      samplesPerEchoLine              (beam) int64 32B 6768 7920 7944 7320
  Attributes: (12/21)
      acquisitionType:             ScanSAR Wide
      beams:                       ['W1', 'W2', 'W30', 'S7']
      polarizations:               ['VV', 'VH']
      pulses:                      11.58
      radarCenterFrequency_units:  Hz
      radarCenterFrequency:        5404999242.769673
      ...                          ...
      adcSamplingRate:             12667968.75
      yawSteeringFlag:             YawSteeringOn
      geodeticFlag:                Off-Geocentric
      rawBitsPerSample:            4
      Description:                 Radar Parameters Data Store. Information des...
      history:                     annotations

  radarParameters

  • Groups: (0)
  • Dimensions:
    • beam: 4
    • pole: 2
    • pixel: 99
  • Coordinates: (3)
    • beam
      (beam)
      <U3
      'W1' 'W2' 'W30' 'S7'

      array(['W1', 'W2', 'W30', 'S7'], dtype='<U3')

    • pole
      (pole)
      <U2
      'VH' 'VV'

      array(['VH', 'VV'], dtype='<U2')

    • pixel
      (pixel)
      int64
      0 1 2 3 4 5 6 ... 93 94 95 96 97 98

      array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
             18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
             36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
             54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
             72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
             90, 91, 92, 93, 94, 95, 96, 97, 98])

  • Data variables: (6)
    • pulsesReceivedPerDwell
      (beam)
      int64
      58 58 58 58

      xpath :

      /product/sourceAttributes/radarParameters/pulsesReceivedPerDwell

      Description :

      ScanSAR burst parameter for ScanSAR only. Number of pulses received and recorded per dwell for each beam. Beam attribute values are same as those used in the beams list.

      array([58, 58, 58, 58])

    • numberOfPulseIntervalsPerDwell
      (beam)
      int64
      65 66 65 67

      xpath :

      /product/sourceAttributes/radarParameters/numberOfPulseIntervalsPerDwell

      Description :

      ScanSAR burst parameter for ScanSAR only. Number of pulse transmission intervals per dwell for each beam. Beam attribute values are same as those used in the beams list.

      array([65, 66, 65, 67])

    • rank
      (beam)
      int64
      7 8 7 9

      xpath :

      /product/sourceAttributes/radarParameters/rank

      Description :

      Rank, one entry per beam. The number of transmitted pulse repetition intervals between transmission and reception for each beam. Samples per echo line. Used to determine sample window length. Beam attribute values are same as those used in the beams list.

      array([7, 8, 7, 9])

    • settableGain
      (beam, pole)
      float64
      -1.0 -1.0 -1.0 ... -1.0 -1.0 -1.0

      xpath :

      /product/sourceAttributes/radarParameters/settableGain

      wing :

      Combined

      units :

      dB

      Description :

      Gain values used on the instrument. Gain values will be specified either in terms of polarization or wing, not both. Beam attribute values are same as those used in the beams list. (units = dB). Wing can be either fore or aft.

      array([[-1.00000002, -1.00000002],
             [-1.00000002, -1.00000002],
             [-1.00000002, -1.00000002],
             [-1.00000002, -1.00000002]])

    • pulseRepetitionFrequency
      (beam)
      float64
      1.272e+03 1.33e+03 ... 1.284e+03

      xpath :

      /product/sourceAttributes/radarParameters/pulseRepetitionFrequency

      units :

      Hz

      Description :

      Transmitted pulse repetition frequency for each beam. Beam attribute values are same as those used in the beams list (units = Hz). For products with two wing identifiers (Fore and Aft), the received PRF is effectively double the transmitted PRF.

      array([1271.88439941, 1329.55175781, 1070.65319824, 1284.26281738])

    • samplesPerEchoLine
      (beam)
      int64
      6768 7920 7944 7320

      xpath :

      /product/sourceAttributes/radarParameters/samplesPerEchoLine

      Description :

      Number of samples per echo line for each beam. Used to determine sample window length. Beam attribute values are same as those used in the beams list.

      array([6768, 7920, 7944, 7320])

  • Attributes: (21)

    acquisitionType :

    ScanSAR Wide

    beams :

    ['W1', 'W2', 'W30', 'S7']

    polarizations :

    ['VV', 'VH']

    pulses :

    11.58

    radarCenterFrequency_units :

    Hz

    radarCenterFrequency :

    5404999242.769673

    pulseLength_pulse :

    11.58

    pulseLength_units :

    s

    pulseLength :

    4.152204895019531e-05

    pulseBandwidth_pulse :

    11.58

    pulseBandwidth_units :

    Hz

    pulseBandwidth :

    11597107.86

    antennaPointing :

    Right

    adcSamplingRate_pulse :

    11.58

    adcSamplingRate_units :

    Hz

    adcSamplingRate :

    12667968.75

    yawSteeringFlag :

    YawSteeringOn

    geodeticFlag :

    Off-Geocentric

    rawBitsPerSample :

    4

    Description :

    Radar Parameters Data Store. Information describing the characteristics of the sensor used to acquire the data

    history :

    annotations

  <xarray.DatasetView> Size: 880B
  Dimensions:    (timeStamp: 11)
  Coordinates:
    * timeStamp  (timeStamp) datetime64[ns] 88B 2022-04-07T18:21:27.401672 ... ...
  Data variables:
      yaw        (timeStamp) float64 88B 3.678 3.667 3.659 ... 3.591 3.581 3.562
      roll       (timeStamp) float64 88B -29.8 -29.8 -29.8 ... -29.8 -29.8 -29.8
      pitch      (timeStamp) float64 88B -0.002003 -0.0003909 ... -0.001624
      xPosition  (timeStamp) float64 88B -6.653e+06 -6.632e+06 ... -6.42e+06
      yPosition  (timeStamp) float64 88B 1.034e+06 1.043e+06 ... 1.126e+06
      zPosition  (timeStamp) float64 88B -2.479e+06 -2.532e+06 ... -3e+06
      xVelocity  (timeStamp) float64 88B 2.764e+03 2.82e+03 ... 3.316e+03
      yVelocity  (timeStamp) float64 88B 1.266e+03 1.254e+03 ... 1.143e+03
      zVelocity  (timeStamp) float64 88B -6.907e+03 -6.886e+03 ... -6.679e+03
  Attributes:
      attitudeDataSource:      Downlink
      attitudeOffsetsApplied:  true
      Description:             Attitude Information Data Store. Orbit Informati...
      history:                 annotations

  orbitAndAttitude

  • Groups: (0)
  • Dimensions:
    • timeStamp: 11
  • Coordinates: (1)
    • timeStamp
      (timeStamp)
      datetime64[ns]
      2022-04-07T18:21:27.401672 ... 2...

      array(['2022-04-07T18:21:27.401672000', '2022-04-07T18:21:35.064601000',
             '2022-04-07T18:21:42.727530000', '2022-04-07T18:21:50.390460000',
             '2022-04-07T18:21:58.053389000', '2022-04-07T18:22:05.716318000',
             '2022-04-07T18:22:13.379247000', '2022-04-07T18:22:21.042176000',
             '2022-04-07T18:22:28.705106000', '2022-04-07T18:22:36.368035000',
             '2022-04-07T18:22:44.030964000'], dtype='datetime64[ns]')

  • Data variables: (9)
    • yaw
      (timeStamp)
      float64
      3.678 3.667 3.659 ... 3.581 3.562

      units :

      deg

      xpath :

      /product/sourceAttributes/orbitAndAttitude/attitudeInformation/attitudeAngles/yaw

      Description :

      Spacecraft yaw angle (units = deg). Positive for nose right rotation about the z axis (i.e. clockwise when looking along the z axis). When Right-Looking, a small positive yaw generally means that the SAR antenna is pointing slightly backwards. When Left-Looking, a small positive yaw generally means it is pointing slightly forwards.

      array([3.67765042, 3.66717625, 3.65942538, 3.64531175, 3.63299634,
             3.62040748, 3.61178023, 3.60112808, 3.5906719 , 3.58090494,
             3.56198898])

    • roll
      (timeStamp)
      float64
      -29.8 -29.8 -29.8 ... -29.8 -29.8

      units :

      deg

      xpath :

      /product/sourceAttributes/orbitAndAttitude/attitudeInformation/attitudeAngles/roll

      Description :

      Spacecraft roll angle (units = deg). Positive for left side up rotation about the x axis (i.e. clockwise when looking along the x axis). Roll is negative for Right-Looking and positive for Left-Looking.

      array([-29.8026275 , -29.8008087 , -29.80446062, -29.8055    ,
             -29.8016028 , -29.79519935, -29.79506787, -29.7979482 ,
             -29.80118764, -29.80025088, -29.79991269])

    • pitch
      (timeStamp)
      float64
      -0.002003 -0.0003909 ... -0.001624

      units :

      deg

      xpath :

      /product/sourceAttributes/orbitAndAttitude/attitudeInformation/attitudeAngles/pitch

      Description :

      Spacecraft pitch angle (units = deg). Positive for nose up rotation about the y axis (i.e. clockwise when looking along the y axis).

      array([-0.00200347, -0.00039085, -0.00467112, -0.0033236 , -0.00128973,
              0.00014758, -0.00418872, -0.00425894, -0.00493375, -0.00499123,
             -0.00162387])

    • xPosition
      (timeStamp)
      float64
      -6.653e+06 -6.632e+06 ... -6.42e+06

      units :

      m

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/stateVector/xPosition

      Description :

      (units = m)

      array([-6653406.85785607, -6632011.72209174, -6610187.41538696,
             -6587935.6440859 , -6565258.00912605, -6542155.57507657,
             -6518630.37436722, -6494683.60325393, -6470317.51295421,
             -6445533.39145136, -6420333.0962503 ])

    • yPosition
      (timeStamp)
      float64
      1.034e+06 1.043e+06 ... 1.126e+06

      units :

      m

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/stateVector/yPosition

      Description :

      (units = m)

      array([1033831.83554106, 1043489.20598069, 1053056.57779533,
             1062532.90469045, 1071917.12401067, 1081208.16934229,
             1090405.02030899, 1099506.52926137, 1108511.59959665,
             1117419.48739412, 1126228.81609326])

    • zPosition
      (timeStamp)
      float64
      -2.479e+06 -2.532e+06 ... -3e+06

      units :

      m

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/stateVector/zPosition

      Description :

      (units = m)

      array([-2479415.41166767, -2532262.13585845, -2584948.0986012 ,
             -2637469.66542779, -2689823.69039908, -2742006.69696019,
             -2794015.57314536, -2845846.87916092, -2897497.26875316,
             -2948963.70920172, -3000242.74537346])

    • xVelocity
      (timeStamp)
      float64
      2.764e+03 2.82e+03 ... 3.316e+03

      units :

      m/s

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/stateVector/xVelocity

      Description :

      (units = m/s)

      array([2763.95730707, 2820.0484796 , 2875.94545209, 2931.64502427,
             2987.14307326, 3042.4364157 , 3097.52119183, 3152.39354088,
             3207.05004241, 3261.48723633, 3315.70149995])

    • yVelocity
      (timeStamp)
      float64
      1.266e+03 1.254e+03 ... 1.143e+03

      units :

      m/s

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/stateVector/yVelocity

      Description :

      (units = m/s)

      array([1266.09239776, 1254.42208752, 1242.61059529, 1230.65867315,
             1218.56751031, 1206.3380901 , 1193.97141416, 1181.46846028,
             1168.83016818, 1156.05786562, 1143.15242659])

    • zVelocity
      (timeStamp)
      float64
      -6.907e+03 ... -6.679e+03

      units :

      m/s

      xpath :

      /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/stateVector/zVelocity

      Description :

      (units = m/s)

      array([-6906.77410476, -6885.99045794, -6864.77024034, -6843.1146525 ,
             -6821.02546033, -6798.50404576, -6775.55188668, -6752.17053985,
             -6728.36180567, -6704.12638433, -6679.46673972])

  • Attributes: (4)

    attitudeDataSource :

    Downlink

    attitudeOffsetsApplied :

    true

    Description :

    Attitude Information Data Store. Orbit Information Data Store. State Vector Data Store. Earth Centered Rotating (ECR) coordinates.

    history :

    annotations

  <xarray.DatasetView> Size: 0B
  Dimensions:  ()
  Data variables:
      *empty*

  imageGenerationParameters

  • Groups: (2)
    <xarray.DatasetView> Size: 0B
    Dimensions:  ()
    Data variables:
        *empty*

    doppler

    • Groups: (2)
      <xarray.DatasetView> Size: 568B
      Dimensions:                          (timeOfDopplerCentroidEstimate: 6,
                                            n-Coefficients: 5)
      Coordinates:
        * timeOfDopplerCentroidEstimate    (timeOfDopplerCentroidEstimate) datetime64[ns] 48B ...
        * n-Coefficients                   (n-Coefficients) int64 40B 0 1 2 3 4
      Data variables:
          dopplerAmbiguity                 (timeOfDopplerCentroidEstimate) int64 48B ...
          dopplerAmbiguityConfidence       (timeOfDopplerCentroidEstimate) float64 48B ...
          dopplerCentroidReferenceTime     (timeOfDopplerCentroidEstimate) float64 48B ...
          dopplerCentroidPolynomialPeriod  (timeOfDopplerCentroidEstimate) float64 48B ...
          dopplerCentroidCoefficients      (timeOfDopplerCentroidEstimate, n-Coefficients) float64 240B ...
          dopplerCentroidConfidence        (timeOfDopplerCentroidEstimate) float64 48B ...
      Attributes:
          Description:  Doppler Centroid Data Store
          history:      annotations

      dopplerCentroid

      • Groups: (0)
      • Dimensions:
        • timeOfDopplerCentroidEstimate: 6
        • n-Coefficients: 5
      • Coordinates: (2)
        • timeOfDopplerCentroidEstimate
          (timeOfDopplerCentroidEstimate)
          datetime64[ns]
          2022-04-07T18:21:27.475000 ... 2...

          array(['2022-04-07T18:21:27.475000000', '2022-04-07T18:21:42.428868000',
                 '2022-04-07T18:21:57.382736000', '2022-04-07T18:22:12.336603000',
                 '2022-04-07T18:22:27.290472000', '2022-04-07T18:22:42.244341000'],
                dtype='datetime64[ns]')

        • n-Coefficients
          (n-Coefficients)
          int64
          0 1 2 3 4

          array([0, 1, 2, 3, 4])

      • Data variables: (6)
        • dopplerAmbiguity
          (timeOfDopplerCentroidEstimate)
          int64
          0 0 0 0 0 0

          xpath :

          /product/imageGenerationParameters/dopplerCentroid/dopplerAmbiguity

          Description :

          Doppler ambiguity number used during processing

          array([0, 0, 0, 0, 0, 0])

        • dopplerAmbiguityConfidence
          (timeOfDopplerCentroidEstimate)
          float64
          0.9962 0.9962 ... 0.9962 0.9962

          xpath :

          /product/imageGenerationParameters/dopplerCentroid/dopplerAmbiguityConfidence

          Description :

          Doppler ambiguity confidence estimate.Range from 0.0 (no confidence) to 1.0 (highest confidence)

          array([0.99622571, 0.99622571, 0.99622571, 0.99622571, 0.99622571,
                 0.99622571])

        • dopplerCentroidReferenceTime
          (timeOfDopplerCentroidEstimate)
          float64
          0.005613 0.005613 ... 0.005626

          units :

          s

          xpath :

          /product/imageGenerationParameters/dopplerCentroid/dopplerCentroidReferenceTime

          Description :

          2-way slant range time used as reference in Doppler Centroid polynomial calculation (t0) (units = s)

          array([0.00561258, 0.00561258, 0.00561258, 0.00561258, 0.00561258,
                 0.00562584])

        • dopplerCentroidPolynomialPeriod
          (timeOfDopplerCentroidEstimate)
          float64
          0.002049 0.002049 ... 0.002049

          units :

          s

          xpath :

          /product/imageGenerationParameters/dopplerCentroid/dopplerCentroidPolynomialPeriod

          Description :

          Approximate 2-way slant range time period in seconds corresponding to the slant range swath width. This is the period over which the Doppler centroid polynomial is valid, measured from Doppler centroid reference time (t0). For ScanSAR, this is the time corresponding to the full combined swath width.(units = s).

          array([0.00204911, 0.00204911, 0.00204911, 0.00204911, 0.00204911,
                 0.00204911])

        • dopplerCentroidCoefficients
          (timeOfDopplerCentroidEstimate, n-Coefficients)
          float64
          -196.1 7.52e+03 ... -2.112e+12

          xpath :

          /product/imageGenerationParameters/dopplerCentroid/dopplerCentroidCoefficients

          Description :

          List of up to 5 Doppler Centroid coefficients d0, d1, d2, d3, and d4 as a function of slant range timetSR where the Doppler Centroid frequency used in processing in Hz = d0 + d1(tSR - t0) + d2(tSR-t0)^2 + d3(tSR-t0)^3 + d4(tSR-t0)^4

          array([[-1.96066406e+02,  7.52036621e+03,  7.81078700e+06,
                  -5.08146022e+09,  1.86584098e+12],
                 [-1.89800995e+02,  2.15785059e+04, -7.52412720e+07,
                   7.21335910e+10, -1.90014198e+13],
                 [-2.14564896e+02,  1.66783188e+05, -1.88270304e+08,
                   3.63982111e+10,  1.26259298e+13],
                 [-1.56520798e+02, -2.58028203e+05,  5.21606784e+08,
                  -3.69894490e+11,  8.68939496e+13],
                 [-1.99715393e+02,  1.50350266e+05, -1.87946704e+08,
                   8.88099717e+10, -1.39787302e+13],
                 [-2.06129807e+02,  2.29637234e+05, -2.53270496e+08,
                   7.98278779e+10, -2.11173599e+12]])

        • dopplerCentroidConfidence
          (timeOfDopplerCentroidEstimate)
          float64
          0.9962 0.9977 ... 0.9948 0.9938

          xpath :

          /product/imageGenerationParameters/dopplerCentroid/dopplerCentroidConfidence

          Description :

          Doppler Centroid confidence estimate.Range from 0.0 (no confidence) to 1.0 (highest confidence)

          array([0.99622571, 0.99767971, 0.99097651, 0.98627383, 0.99484169,
                 0.99383807])

      • Attributes: (2)

        Description :

        Doppler Centroid Data Store

        history :

        annotations

      <xarray.DatasetView> Size: 56B
      Dimensions:                   (dopplerRateReferenceTime: 1,
                                     n-RateValuesCoefficients: 3)
      Coordinates:
        * dopplerRateReferenceTime  (dopplerRateReferenceTime) float64 8B 0.005613
        * n-RateValuesCoefficients  (n-RateValuesCoefficients) int64 24B 0 1 2
      Data variables:
          dopplerRateValues         (dopplerRateReferenceTime, n-RateValuesCoefficients) float64 24B ...
      Attributes:
          Description:  Doppler Rate Values Data Store.
          history:      annotations

      dopplerRateValues

      • Groups: (0)
      • Dimensions:
        • dopplerRateReferenceTime: 1
        • n-RateValuesCoefficients: 3
      • Coordinates: (2)
        • dopplerRateReferenceTime
          (dopplerRateReferenceTime)
          float64
          0.005613

          array([0.005613])

        • n-RateValuesCoefficients
          (n-RateValuesCoefficients)
          int64
          0 1 2

          array([0, 1, 2])

      • Data variables: (1)
        • dopplerRateValues
          (dopplerRateReferenceTime, n-RateValuesCoefficients)
          float64
          -2.162e+03 3.594e+05 -3.91e+07

          RateReferenceTime units :

          s

          dopplerRateReferenceTime_xpath :

          /product/imageGenerationParameters/dopplerRateValues/dopplerRateReferenceTime

          dopplerRateValuesCoefficients_xpath :

          /product/imageGenerationParameters/dopplerRateValues/dopplerRateValuesCoefficients

          Description :

          List of up to 5 Doppler rate values coefficients r0, r1, r2, r3, and r4 as a function of slant range time tSR where the Doppler frequency rate (in Hz per second of zero Doppler time) = r0 + r1(tSR - t0) + r2(tSR-t0)^2 + r3(tSR-t0)^3 + r4(tSR-t0)^4

          array([[-2.16211890e+03,  3.59370219e+05, -3.90975000e+07]])

      • Attributes: (2)

        Description :

        Doppler Rate Values Data Store.

        history :

        annotations

    • Dimensions:
    • Coordinates: (0)
    • Data variables: (0)
    • Attributes: (0)

    <xarray.DatasetView> Size: 320B
    Dimensions:                  (pole: 2, n-amplitudeCoefficients: 4,
                                  n-phaseCoefficients: 4)
    Coordinates:
      * pole                     (pole) <U2 16B 'VV' 'VH'
      * n-amplitudeCoefficients  (n-amplitudeCoefficients) int64 32B 0 1 2 3
      * n-phaseCoefficients      (n-phaseCoefficients) int64 32B 0 1 2 3
    Data variables:
        replicaQualityValid      (pole) <U4 32B 'true' 'true'
        crossCorrelationWidth    (pole) float64 16B 1.037 1.038
        sideLobeLevel            (pole) float64 16B -13.33 -13.26
        integratedSideLobeRatio  (pole) float64 16B -9.976 -10.16
        crossCorrelationPeakLoc  (pole) float64 16B 38.61 38.21
        chirpPower               (pole) float64 16B 64.28 64.17
        amplitudeCoefficients    (pole, n-amplitudeCoefficients) float64 64B 1.0 ...
        phaseCoefficients        (pole, n-phaseCoefficients) float64 64B 0.2689 ....
    Attributes:
        VV_wing:      Combined
        VV_pulse:     11.58
        VH_wing:      Combined
        VH_pulse:     11.58
        Description:  Chirp Data Store
        history:      annotations

    chirp

    • Groups: (0)
    • Dimensions:
      • pole: 2
      • n-amplitudeCoefficients: 4
      • n-phaseCoefficients: 4
    • Coordinates: (3)
      • pole
        (pole)
        <U2
        'VV' 'VH'

        type :

        rs2prod:polarizationIdentifiers

        array(['VV', 'VH'], dtype='<U2')

      • n-amplitudeCoefficients
        (n-amplitudeCoefficients)
        int64
        0 1 2 3

        array([0, 1, 2, 3])

      • n-phaseCoefficients
        (n-phaseCoefficients)
        int64
        0 1 2 3

        array([0, 1, 2, 3])

    • Data variables: (8)
      • replicaQualityValid
        (pole)
        <U4
        'true' 'true'

        xpath :

        /product/imageGenerationParameters/chirp/chirpQuality/replicaQualityValid

        Description :

        true = able to reconstruct all chirps or chirp reconstruction not requested (nominal chirp used) and all quality measures were acceptablefalse = unable to reconstruct chirp during processing and chirp reconstruction was requested or the quality is below acceptable levels.

        array(['true', 'true'], dtype='<U4')

      • crossCorrelationWidth
        (pole)
        float64
        1.037 1.038

        xpath :

        /product/imageGenerationParameters/chirp/chirpQuality/crossCorrelationWidth

        Description :

        3-dB pulse width of chirp replica cross-correlation function between reconstructed chirp and nominal chirp (units = samples)

        array([1.03703594, 1.03756905])

      • sideLobeLevel
        (pole)
        float64
        -13.33 -13.26

        xpath :

        /product/imageGenerationParameters/chirp/chirpQuality/sideLobeLevel

        units :

        dB

        Description :

        First side lobe level of chirp replica cross-correlation function between reconstructed chirp and nominal chirp (units = dB)

        array([-13.32911968, -13.25835991])

      • integratedSideLobeRatio
        (pole)
        float64
        -9.976 -10.16

        xpath :

        /product/imageGenerationParameters/chirp/chirpQuality/integratedSideLobeRatio

        units :

        dB

        Description :

        Integrated Side-Lobe Ratio of chirp replica cross-correlation function between reconstructed chirp and nominal chirp (units = dB)

        array([ -9.97572708, -10.15859032])

      • crossCorrelationPeakLoc
        (pole)
        float64
        38.61 38.21

        xpath :

        /product/imageGenerationParameters/chirp/chirpQuality/crossCorrelationPeakLoc

        Description :

        Cross correlation peak location. (units = samples)

        array([38.60583496, 38.21051025])

      • chirpPower
        (pole)
        float64
        64.28 64.17

        xpath :

        /product/imageGenerationParameters/chirp/chirpPower

        units :

        dB

        Description :

        (units = dB)

        array([64.28054086, 64.16927446])

      • amplitudeCoefficients
        (pole, n-amplitudeCoefficients)
        float64
        1.0 -652.1 ... -2.642e+12

        xpath :

        /product/imageGenerationParameters/chirp/amplitudeCoefficients

        Description :

        List of range chirp amplitude coefficients (-, s^-1, s^-2, s^-3, ...)

        array([[ 1.00000000e+00, -6.52071106e+02,  8.37702400e+06,
                -2.62762004e+12],
               [ 1.00000000e+00, -9.18793274e+02, -6.49115200e+07,
                -2.64203089e+12]])

      • phaseCoefficients
        (pole, n-phaseCoefficients)
        float64
        0.2689 1.349e+04 ... -1.012e+12

        xpath :

        /product/imageGenerationParameters/chirp/phaseCoefficients

        Description :

        List of range chirp phase coefficients (cycles, Hz, Hz/s, Hz/s^2, ...)

        array([[ 2.68939286e-01,  1.34872969e+04, -1.39639505e+11,
                -5.13194787e+11],
               [ 8.32345009e-01,  4.97397266e+03, -1.39637899e+11,
                -1.01239901e+12]])

    • Attributes: (6)

      VV_wing :

      Combined

      VV_pulse :

      11.58

      VH_wing :

      Combined

      VH_pulse :

      11.58

      Description :

      Chirp Data Store

      history :

      annotations

  • Dimensions:
  • Coordinates: (0)
  • Data variables: (0)
  • Attributes: (0)

  <xarray.DatasetView> Size: 109MB
  Dimensions:         (line: 5138, sample: 5309, pol: 2)
  Coordinates:
    * line            (line) float64 41kB 0.5 2.5 4.5 ... 1.027e+04 1.027e+04
    * sample          (sample) float64 42kB 0.5 2.5 4.5 ... 1.061e+04 1.062e+04
    * pol             (pol) <U2 16B 'VV' 'VH'
  Data variables:
      digital_number  (pol, line, sample) uint16 109MB dask.array<chunksize=(1, 5000, 5000), meta=np.ndarray>

  digital_numbers

  • Groups: (0)
  • Dimensions:
    • line: 5138
    • sample: 5309
    • pol: 2
  • Coordinates: (3)
    • line
      (line)
      float64
      0.5 2.5 4.5 ... 1.027e+04 1.027e+04

      array([5.00000e-01, 2.50000e+00, 4.50000e+00, ..., 1.02705e+04, 1.02725e+04,
             1.02745e+04])

    • sample
      (sample)
      float64
      0.5 2.5 4.5 ... 1.061e+04 1.062e+04

      array([5.00000e-01, 2.50000e+00, 4.50000e+00, ..., 1.06125e+04, 1.06145e+04,
             1.06165e+04])

    • pol
      (pol)
      <U2
      'VV' 'VH'

      array(['VV', 'VH'], dtype='<U2')

  • Data variables: (1)
    • digital_number
      (pol, line, sample)
      uint16
      dask.array<chunksize=(1, 5000, 5000), meta=np.ndarray>

      comment :

      not denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

      history :

      digital_number: imagery_V*.tif

      Array Chunk Bytes 104.06 MiB 47.68 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 4 graph layers Data type uint16 numpy.ndarray

  • Attributes: (0)

• Dimensions:
• Coordinates: (0)
• Data variables: (0)
• Attributes: (18)

  product_path :

  /home1/scratch/agrouaze/xsardatasync/xsardata/RS2_OK135107_PK1187782_DK1151894_SCWA_20220407_182127_VV_VH_SGF

  satellite :

  RADARSAT-2

  inputDatasetId :

  /Fred/RSAT-2/610044P

  rawDataStartTime :

  2022-04-07T18:21:27.688416000

  satelliteHeight_units :

  m

  satelliteHeight :

  800612.0083192665

  passDirection :

  Descending

  swath :

  SCWA

  product :

  SGF

  pols :

  VH VV

  name :

  RADARSAT2_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/RS2_OK135107_PK1187782_DK1151894_SCWA_20220407_182127_VV_VH_SGF:

  start_date :

  2022-04-07 18:21:27.401672

  stop_date :

  2022-04-07 18:22:44.030964

  footprint :

  POLYGON ((168.8147284622835 -19.82390747944243, 163.9252572974075 -18.62823753782336, 162.6387987182235 -23.10230390032916, 167.6676039112585 -24.34397982283393, 168.8147284622835 -19.82390747944243))

  coverage :

  515km * 530km (line * sample )

  pixel_line_m :

  50.0

  pixel_sample_m :

  50.0

  approx_transform :

  |-0.00,-0.00, 168.85| |-0.00, 0.00,-19.85| | 0.00, 0.00, 1.00|

# open the dataset with xarray
ds_xsar = xsar.open_dataset(filename, resolution='100m')
ds_xsar

/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:299: UserWarning: no explicit representation of timezones available for np.datetime64
  timestamp.append(np.datetime64(value["timeStamp"]).astype("datetime64[ns]"))
/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:462: UserWarning: no explicit representation of timezones available for np.datetime64
  timestamp.append(np.datetime64(value["timeStamp"]).astype("datetime64[ns]"))
/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:570: UserWarning: no explicit representation of timezones available for np.datetime64
  times.append(np.datetime64(value["timeOfDopplerCentroidEstimate"]).astype("datetime64[ns]"))
/home/datawork-cersat-public/cache/project/mpc-sentinel1/workspace/mamba/envs/testgeoviewsnumpy/lib/python3.11/site-packages/xradarsat2/radarSat2_xarray_reader.py:2056: UserWarning: no explicit representation of timezones available for np.datetime64
  final_dic[key] = np.datetime64(dic[key]).astype("datetime64[ns]")

<xarray.Dataset> Size: 5GB
Dimensions:          (line: 5138, pol: 2, sample: 5309)
Coordinates:
  * line             (line) float64 41kB 0.5 2.5 4.5 ... 1.027e+04 1.027e+04
  * pol              (pol) <U2 16B 'VV' 'VH'
  * sample           (sample) float64 42kB 0.5 2.5 4.5 ... 1.061e+04 1.062e+04
Data variables: (12/23)
    digital_number   (pol, line, sample) uint16 109MB dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>
    lines_flipped    bool 1B False
    samples_flipped  bool 1B True
    sampleSpacing    float64 8B 100.0
    lineSpacing      float64 8B 100.0
    sigma0_raw       (pol, line, sample) float64 436MB dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>
    ...               ...
    time             (line) datetime64[ns] 41kB dask.array<chunksize=(5000,), meta=np.ndarray>
    latitude         (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
    longitude        (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
    altitude         (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
    incidence        (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
    elevation        (line, sample) float64 218MB dask.array<chunksize=(5000, 309), meta=np.ndarray>
Attributes: (12/18)
    product_path:           /home1/scratch/agrouaze/xsardatasync/xsardata/RS2...
    satellite:              RADARSAT-2
    inputDatasetId:         /Fred/RSAT-2/610044P
    rawDataStartTime:       2022-04-07T18:21:27.688416000
    satelliteHeight_units:  m
    satelliteHeight:        800612.0083192665
    ...                     ...
    stop_date:              2022-04-07 18:22:44.030964
    footprint:              POLYGON ((168.8147284622835 -19.82390747944243, 1...
    coverage:               515km * 530km (line * sample )
    pixel_line_m:           50.0
    pixel_sample_m:         50.0
    approx_transform:       |-0.00,-0.00, 168.85|\n|-0.00, 0.00,-19.85|\n| 0....

xarray.Dataset

• Dimensions:
  • line: 5138
  • pol: 2
  • sample: 5309
• Coordinates: (3)
  • line
    (line)
    float64
    0.5 2.5 4.5 ... 1.027e+04 1.027e+04

    array([5.00000e-01, 2.50000e+00, 4.50000e+00, ..., 1.02705e+04, 1.02725e+04,
           1.02745e+04])

  • pol
    (pol)
    <U2
    'VV' 'VH'

    array(['VV', 'VH'], dtype='<U2')

  • sample
    (sample)
    float64
    0.5 2.5 4.5 ... 1.061e+04 1.062e+04

    array([5.00000e-01, 2.50000e+00, 4.50000e+00, ..., 1.06125e+04, 1.06145e+04,
           1.06165e+04])

• Data variables: (23)
  • digital_number
    (pol, line, sample)
    uint16
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    comment :

    not denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

    history :

    digital_number: imagery_V*.tif

    Array Chunk Bytes 104.06 MiB 47.68 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 5 graph layers Data type uint16 numpy.ndarray

  • lines_flipped
    ()
    bool
    False

    meaning :

    xsar convention : increasing time along line axis (whatever ascending or descending pass direction)

    array(False)

  • samples_flipped
    ()
    bool
    True

    meaning :

    xsar convention : increasing incidence values along samples axis

    array(True)

  • sampleSpacing
    ()
    float64
    100.0

    units :

    m

    referential :

    ground

    array(100.)

  • lineSpacing
    ()
    float64
    100.0

    units :

    m

    array(100.)

  • sigma0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 21 graph layers Data type float64 numpy.ndarray

  • nesz
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    Array Chunk Bytes 208.11 MiB 95.37 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 11 graph layers Data type float32 numpy.ndarray

  • gamma0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 21 graph layers Data type float64 numpy.ndarray

  • negz
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    Array Chunk Bytes 208.11 MiB 95.37 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 11 graph layers Data type float32 numpy.ndarray

  • beta0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 21 graph layers Data type float64 numpy.ndarray

  • nebz
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    Array Chunk Bytes 208.11 MiB 95.37 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 11 graph layers Data type float32 numpy.ndarray

  • sigma0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 32 graph layers Data type float64 numpy.ndarray

  • beta0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 32 graph layers Data type float64 numpy.ndarray

  • gamma0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 5000, 309), meta=np.ndarray>

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 416.22 MiB 190.73 MiB Shape (2, 5138, 5309) (1, 5000, 5000) Dask graph 8 chunks in 32 graph layers Data type float64 numpy.ndarray

  • land_mask
    (line, sample)
    int8
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    history :

    land_mask: cartopy.feature.NaturalEarthFeature land

    meaning :

    0: ocean , 1: land

    Array Chunk Bytes 26.01 MiB 23.84 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 3 graph layers Data type int8 numpy.ndarray

  • velocity
    (line)
    float64
    7.546e+03 7.546e+03 ... 7.544e+03

    array([7546.2558328 , 7546.25546302, 7546.25509325, ..., 7544.26713323,
           7544.26672972, 7544.26632621])

  • ground_heading
    (line, sample)
    float32
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    comment :

    at ground level, computed from lon/lat in azimuth direction

    long_name :

    Platform heading (azimuth from North)

    units :

    Degrees

    Array Chunk Bytes 104.06 MiB 95.37 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float32 numpy.ndarray

  • time
    (line)
    datetime64[ns]
    dask.array<chunksize=(5000,), meta=np.ndarray>

    Array Chunk Bytes 40.14 kiB 39.06 kiB Shape (5138,) (5000,) Dask graph 2 chunks in 5 graph layers Data type datetime64[ns] numpy.ndarray

  • latitude
    (line, sample)
    float64
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    history :

    /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/latitude

    Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float64 numpy.ndarray

  • longitude
    (line, sample)
    float64
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    history :

    /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/longitude

    Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float64 numpy.ndarray

  • altitude
    (line, sample)
    float64
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    history :

    /product/imageAttributes/geographicInformation/geolocationGrid/imageTiePoint/geodeticCoordinate/height

    Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 4 graph layers Data type float64 numpy.ndarray

  • incidence
    (line, sample)
    float64
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 38 graph layers Data type float64 numpy.ndarray

  • elevation
    (line, sample)
    float64
    dask.array<chunksize=(5000, 309), meta=np.ndarray>

    Array Chunk Bytes 208.11 MiB 190.73 MiB Shape (5138, 5309) (5000, 5000) Dask graph 4 chunks in 44 graph layers Data type float64 numpy.ndarray

• Indexes: (3)
  • line
    PandasIndex

    PandasIndex(Index([    0.5,     2.5,     4.5,     6.5,     8.5,    10.5,    12.5,    14.5,
              16.5,    18.5,
           ...
           10256.5, 10258.5, 10260.5, 10262.5, 10264.5, 10266.5, 10268.5, 10270.5,
           10272.5, 10274.5],
          dtype='float64', name='line', length=5138))

  • pol
    PandasIndex

    PandasIndex(Index(['VV', 'VH'], dtype='object', name='pol'))

  • sample
    PandasIndex

    PandasIndex(Index([    0.5,     2.5,     4.5,     6.5,     8.5,    10.5,    12.5,    14.5,
              16.5,    18.5,
           ...
           10598.5, 10600.5, 10602.5, 10604.5, 10606.5, 10608.5, 10610.5, 10612.5,
           10614.5, 10616.5],
          dtype='float64', name='sample', length=5309))

• Attributes: (18)

  product_path :

  /home1/scratch/agrouaze/xsardatasync/xsardata/RS2_OK135107_PK1187782_DK1151894_SCWA_20220407_182127_VV_VH_SGF

  satellite :

  RADARSAT-2

  inputDatasetId :

  /Fred/RSAT-2/610044P

  rawDataStartTime :

  2022-04-07T18:21:27.688416000

  satelliteHeight_units :

  m

  satelliteHeight :

  800612.0083192665

  passDirection :

  Descending

  swath :

  SCWA

  product :

  SGF

  pols :

  VH VV

  name :

  RADARSAT2_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/RS2_OK135107_PK1187782_DK1151894_SCWA_20220407_182127_VV_VH_SGF:

  start_date :

  2022-04-07 18:21:27.401672

  stop_date :

  2022-04-07 18:22:44.030964

  footprint :

  POLYGON ((168.8147284622835 -19.82390747944243, 163.9252572974075 -18.62823753782336, 162.6387987182235 -23.10230390032916, 167.6676039112585 -24.34397982283393, 168.8147284622835 -19.82390747944243))

  coverage :

  515km * 530km (line * sample )

  pixel_line_m :

  50.0

  pixel_sample_m :

  50.0

  approx_transform :

  |-0.00,-0.00, 168.85| |-0.00, 0.00,-19.85| | 0.00, 0.00, 1.00|

# we use here 'rasterize' to display the image, because the full image is really big
rasterize(hv.Image(ds_xsar.sigma0.sel(pol='VH')).opts(cmap='gray',colorbar=True,tools=['hover'],title="xsar",width=800,height=800,clim=(0,0.02)))

RCM example

import warnings
warnings.filterwarnings('ignore')

# get test file. You can replace with an path to other SAFE
filename = xsar.get_test_file('RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010')
filename

'/home1/scratch/agrouaze/xsardatasync/xsardata/RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010'

# open the datatree with xarray
dt_xsar = xsar.open_datatree(filename,resolution='100m')
dt_xsar

<xarray.DatasetView> Size: 0B
Dimensions:  ()
Data variables:
    *empty*
Attributes: (12/18)
    name:                    RCM_DS:/home1/scratch/agrouaze/xsardatasync/xsar...
    short_name:              RCM_DS:RCM1_OK1050603_PK1050605_1_SC50MB_2020021...
    product:                 Z010
    safe:                    RCM1_OK1050603_PK1050605_1_SC50MB_20200214_11590...
    swath:                   SC50MB
    multidataset:            False
    ...                      ...
    stop_date:               2020-02-14 12:00:02.000000
    footprint:               POLYGON ((-84.63397773377159 48.71534850877886, ...
    coverage:                381km * 359km (line * sample )
    pixel_line_m:            20.0
    pixel_sample_m:          20.0
    approx_transform:        |-0.00,-0.00,-84.71|\n|-0.00, 0.00, 48.73|\n| 0....

datatree.DataTree

• Groups: (11)
  <xarray.DatasetView> Size: 2GB
  Dimensions:          (line: 3825, pol: 2, sample: 3608)
  Coordinates:
    * line             (line) float64 31kB 2.0 7.0 12.0 ... 1.912e+04 1.912e+04
    * pol              (pol) <U2 16B 'HH' 'HV'
    * sample           (sample) float64 29kB 2.0 7.0 12.0 ... 1.803e+04 1.804e+04
  Data variables: (12/21)
      digital_number   (pol, line, sample) uint16 55MB dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>
      lines_flipped    bool 1B False
      samples_flipped  bool 1B True
      sampleSpacing    float64 8B 100.0
      lineSpacing      float64 8B 100.0
      sigma0_raw       (pol, line, sample) float64 221MB dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>
      ...               ...
      ground_heading   (line, sample) float32 55MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
      latitude         (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
      longitude        (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
      altitude         (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
      incidence        (line, sample) float32 55MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
      elevation        (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>

  measurement

  • Groups: (0)
  • Dimensions:
    • line: 3825
    • pol: 2
    • sample: 3608
  • Coordinates: (3)
    • line
      (line)
      float64
      2.0 7.0 ... 1.912e+04 1.912e+04

      array([2.0000e+00, 7.0000e+00, 1.2000e+01, ..., 1.9112e+04, 1.9117e+04,
             1.9122e+04])

    • pol
      (pol)
      <U2
      'HH' 'HV'

      array(['HH', 'HV'], dtype='<U2')

    • sample
      (sample)
      float64
      2.0 7.0 ... 1.803e+04 1.804e+04

      array([2.0000e+00, 7.0000e+00, 1.2000e+01, ..., 1.8027e+04, 1.8032e+04,
             1.8037e+04])

  • Data variables: (21)
    • digital_number
      (pol, line, sample)
      uint16
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      comment :

      not denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

      history :

      digital_number: imagery/1050605_1_H*.tif

      Array Chunk Bytes 52.65 MiB 26.32 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 4 graph layers Data type uint16 numpy.ndarray

    • lines_flipped
      ()
      bool
      False

      meaning :

      xsar convention : increasing time along line axis (whatever ascending or descending pass direction)

      array(False)

    • samples_flipped
      ()
      bool
      True

      meaning :

      xsar convention : increasing incidence values along samples axis

      array(True)

    • sampleSpacing
      ()
      float64
      100.0

      referential :

      ground

      units :

      m

      array(100.)

    • lineSpacing
      ()
      float64
      100.0

      units :

      m

      array(100.)

    • sigma0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      pixelFirstLutValue :

      18041

      stepSize :

      -23

      numberOfValues :

      786

      offset :

      0.0

      Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 20 graph layers Data type float64 numpy.ndarray

    • nesz
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 52.65 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 11 graph layers Data type float32 numpy.ndarray

    • gamma0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      pixelFirstLutValue :

      18041

      stepSize :

      -23

      numberOfValues :

      786

      offset :

      0.0

      Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 20 graph layers Data type float64 numpy.ndarray

    • negz
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 52.65 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 11 graph layers Data type float32 numpy.ndarray

    • beta0_raw
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      pixelFirstLutValue :

      18041

      stepSize :

      -23

      numberOfValues :

      786

      offset :

      0.0

      Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 20 graph layers Data type float64 numpy.ndarray

    • nebz
      (pol, line, sample)
      float32
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 52.65 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 11 graph layers Data type float32 numpy.ndarray

    • sigma0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 31 graph layers Data type float64 numpy.ndarray

    • beta0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 31 graph layers Data type float64 numpy.ndarray

    • gamma0
      (pol, line, sample)
      float64
      dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

      comment :

      not clipped, some values can be <0

      Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 31 graph layers Data type float64 numpy.ndarray

    • land_mask
      (line, sample)
      int8
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      history :

      land_mask: cartopy.feature.NaturalEarthFeature land

      meaning :

      0: ocean , 1: land

      Array Chunk Bytes 13.16 MiB 13.16 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 3 graph layers Data type int8 numpy.ndarray

    • ground_heading
      (line, sample)
      float32
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      comment :

      at ground level, computed from lon/lat in azimuth direction

      long_name :

      Platform heading (azimuth from North)

      units :

      Degrees

      Array Chunk Bytes 52.65 MiB 52.65 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float32 numpy.ndarray

    • latitude
      (line, sample)
      float64
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • longitude
      (line, sample)
      float64
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • altitude
      (line, sample)
      float64
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

    • incidence
      (line, sample)
      float32
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 52.65 MiB 52.65 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 5 graph layers Data type float32 numpy.ndarray

    • elevation
      (line, sample)
      float64
      dask.array<chunksize=(3825, 3608), meta=np.ndarray>

      Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 12 graph layers Data type float64 numpy.ndarray

  • Attributes: (0)

  <xarray.DatasetView> Size: 4kB
  Dimensions:    (line: 13, pixel: 13)
  Coordinates:
    * line       (line) float64 104B 0.0 1.594e+03 ... 1.753e+04 1.913e+04
    * pixel      (pixel) float64 104B 0.0 1.503e+03 ... 1.654e+04 1.804e+04
  Data variables:
      latitude   (line, pixel) float64 1kB 48.72 48.77 48.82 ... 45.78 45.82 45.86
      longitude  (line, pixel) float64 1kB -84.63 -85.03 -85.44 ... -89.82 -90.21
      height     (line, pixel) float64 1kB 229.9 229.9 229.9 ... 229.9 229.9 229.9
  Attributes:
      footprint:  POLYGON ((-84.63397773377159 48.71534850877886, -89.495130111...
      history:    annotations

  geolocation_annotation

  • Groups: (0)
  • Dimensions:
    • line: 13
    • pixel: 13
  • Coordinates: (2)
    • line
      (line)
      float64
      0.0 1.594e+03 ... 1.913e+04

      array([    0.    ,  1593.8334,  3187.6667,  4781.5   ,  6375.3335,  7969.167 ,
              9563.    , 11156.833 , 12750.666 , 14344.499 , 15938.332 , 17532.166 ,
             19126.    ])

    • pixel
      (pixel)
      float64
      0.0 1.503e+03 ... 1.804e+04

      array([    0.    ,  1503.4166,  3006.8333,  4510.25  ,  6013.6665,  7517.083 ,
              9020.5   , 10523.917 , 12027.334 , 13530.751 , 15034.168 , 16537.584 ,
             18041.    ])

  • Data variables: (3)
    • latitude
      (line, pixel)
      float64
      48.72 48.77 48.82 ... 45.82 45.86

      units :

      deg

      array([[48.71534851, 48.76832408, 48.81990431, 48.87008388, 48.9188575 ,
              48.96622008, 49.0121666 , 49.05669221, 49.09979216, 49.14146184,
              49.18169682, 49.22049275, 49.25784541],
             [48.43281212, 48.48568175, 48.53716957, 48.58727035, 48.6359789 ,
              48.68329019, 48.72919932, 48.77370149, 48.81679205, 48.85846644,
              48.89872032, 48.9375494 , 48.97494952],
             [48.15022622, 48.20299289, 48.25439115, 48.30441584, 48.35306187,
              48.4003243 , 48.44619829, 48.49067914, 48.53376227, 48.57544319,
              48.61571763, 48.65458135, 48.69203027],
             [47.86759144, 47.92025809, 47.97156956, 48.02152082, 48.07010684,
              48.11732276, 48.16316384, 48.20762544, 48.25070306, 48.29239228,
              48.3326889 , 48.37158874, 48.40908778],
             [47.58490836, 47.63747783, 47.68870526, 47.73858567, 47.78711413,
              47.83428587, 47.88009621, 47.92454059, 47.96761458, 48.00931384,
              48.04963421, 48.08857161, 48.12612205],
             [47.30217761, 47.35465272, 47.40579877, 47.45561087, 47.50408419,
              47.551214  , 47.59699572, 47.64142487, 47.68449708, 47.72620807,
              47.76655376, 47.80553012, 47.84313321],
             [47.01939987, 47.07178337, 47.12285066, 47.17259694, 47.22101746,
              47.26810757, 47.31386276, 47.35827862, 47.40135085, 47.44307524,
              47.48344777, 47.52246445, 47.56012144],
             [46.73657564, 46.78887021, 46.83986131, 46.88954421, 46.93791423,
              46.98496681, 47.03069751, 47.07510199, 47.11817601, 47.15991542,
              47.20031628, 47.23937464, 47.27708672],
             [46.45370547, 46.50591375, 46.55683117, 46.60645308, 46.65477487,
              46.70179205, 46.74750026, 46.79189521, 46.83497275, 46.87672879,
              46.91715942, 46.95626079, 46.99402914],
             [46.17078992, 46.2229145 , 46.2737607 , 46.32332395, 46.37159972,
              46.41858359, 46.46427126, 46.50865852, 46.55174128, 46.5935155 ,
              46.63397734, 46.673123  , 46.71094878],
             [45.88782952, 45.93987293, 45.99065033, 46.04015721, 46.08838913,
              46.13534173, 46.18101079, 46.22539215, 46.26848178, 46.31027571,
              46.35077016, 46.38996138, 46.42784571],
             [45.60482463, 45.65678935, 45.70750031, 45.75695308, 45.80514327,
              45.85206661, 45.89771892, 45.94209613, 45.98519426, 46.02700941,
              46.06753784, 46.10677585, 46.14471985],
             [45.32177594, 45.37366438, 45.4243112 , 45.47371204, 45.52186258,
              45.56875861, 45.61439602, 45.65877079, 45.70187902, 45.74371684,
              45.78428058, 45.8235666 , 45.86157135]])

    • longitude
      (line, pixel)
      float64
      -84.63 -85.03 ... -89.82 -90.21

      units :

      deg

      array([[-84.63397773, -85.03485893, -85.43657252, -85.83909967,
              -86.24242065, -86.64651572, -87.05136479, -87.45694747,
              -87.86324307, -88.27023034, -88.67788853, -89.08619582,
              -89.49513011],
             [-84.72181616, -85.12049999, -85.52000188, -85.92030343,
              -86.32138545, -86.72322865, -87.12581347, -87.52912005,
              -87.93312821, -88.33781725, -88.74316696, -89.14915607,
              -89.55576306],
             [-84.80898835, -85.20550748, -85.60283064, -86.00093993,
              -86.3998166 , -86.79944187, -87.19979668, -87.60086164,
              -88.00261712, -88.40504292, -88.80811937, -89.21182575,
              -89.61614106],
             [-84.89550825, -85.28989472, -85.68507155, -86.08102127,
              -86.47772559, -86.87516623, -87.27332458, -87.67218176,
              -88.07171864, -88.47191552, -88.87275325, -89.27421163,
              -89.67627021],
             [-84.98138947, -85.37367476, -85.76673703, -86.16055926,
              -86.55512363, -86.95041229, -87.34640711, -87.74308971,
              -88.14044141, -88.53844303, -88.93707591, -89.33632037,
              -89.73615646],
      ...
             [-85.31878745, -85.70297133, -86.08788173, -86.47350326,
              -86.85981979, -87.24681519, -87.6344731 , -88.02277689,
              -88.41170973, -88.80125428, -89.19139374, -89.58211033,
              -89.97338607],
             [-85.40166741, -85.78389909, -86.16684537, -86.55049124,
              -86.93482099, -87.31981887, -87.70546893, -88.09175498,
              -88.47866058, -88.86616884, -89.2542634 , -89.64292693,
              -90.03214187],
             [-85.48398335, -85.86429106, -86.24530171, -86.62700068,
              -87.00937263, -87.39240221, -87.77607387, -88.16037182,
              -88.54528004, -88.93078206, -89.31686194, -89.70350278,
              -90.09068748],
             [-85.56574673, -85.9441582 , -86.32326121, -86.7030415 ,
              -87.08348412, -87.4645741 , -87.84629628, -88.22863524,
              -88.6115754 , -88.99510067, -89.37919553, -89.76384351,
              -90.14902793],
             [-85.6469686 , -86.02351092, -86.40073367, -86.77862293,
              -87.1571641 , -87.53634258, -87.9161436 , -88.29655212,
              -88.67755293, -89.05913037, -89.4412693 , -89.82395366,
              -90.20716719]])

    • height
      (line, pixel)
      float64
      229.9 229.9 229.9 ... 229.9 229.9

      units :

      m

      array([[229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
      ...
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567],
             [229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567, 229.93099567, 229.93099567, 229.93099567,
              229.93099567]])

  • Attributes: (2)

    footprint :

    POLYGON ((-84.63397773377159 48.71534850877886, -89.49513011173734 49.25784540666172, -90.20716719088948 45.86157135154452, -85.64696859864004 45.32177593908131, -84.63397773377159 48.71534850877886))

    history :

    annotations

  <xarray.DatasetView> Size: 0B
  Dimensions:  ()
  Data variables:
      *empty*
  Attributes:
      satellite:               RCM-1
      sensor:                  SAR
      polarizationDataMode:    Dual Co/Cross
      downlinkSegmentId:       133105_150136
      inputDatasetFacilityId:  GATN
      beamMode:                Medium Resolution 50m
      beamModeDefinitionId:    22
      beamModeVersion:         1
      beamModeMnemonic:        SC50MB
      rawDataStartTime:        2020-02-14T11:59:05.845000Z

  sourceAttributes

  • Groups: (3)
    <xarray.DatasetView> Size: 2kB
    Dimensions:                              (beams: 8, polarizations: 2,
                                              pulses: 8, beam: 8, pole: 2)
    Coordinates:
      * beams                                (beams) <U5 160B 'SC-3' ... 'SC-10'
      * polarizations                        (polarizations) <U2 16B 'HH' 'HV'
      * pulses                               (pulses) <U6 192B '250036' ... '150036'
      * beam                                 (beam) <U5 160B 'SC-10' ... 'SC-9'
      * pole                                 (pole) <U2 16B 'HH' 'HV'
    Data variables: (12/13)
        pulsesReceivedPerDwell               (beam) int64 64B 185 159 ... 172 197
        numberOfPulseIntervalsPerDwell       (beam) int64 64B 199 171 ... 185 212
        burstDelay                           float64 8B 5.36e-05
        rank                                 (beam) int64 64B 14 12 12 ... 14 13 15
        settableGain                         (beam, pole) float64 128B -18.9 ... ...
        radarCenterFrequency                 float64 8B 5.405e+09
        ...                                   ...
        pulseBandwidth                       (beam) float64 64B 1.5e+07 ... 1.5e+07
        samplingWindowStartTimeFirstRawLine  (beam, pole) float64 128B 8.1e-05 .....
        samplingWindowStartTimeLastRawLine   (beam, pole) float64 128B 7.92e-05 ....
        numberOfSwstChanges                  (beam, pole) int64 128B 3 3 3 ... 3 3 3
        adcSamplingRate                      (beam) float64 64B 1.654e+07 ... 1.6...
        samplesPerEchoLine                   (beam) int64 64B 4578 5053 ... 4330
    Attributes:
        acquisitionType:          Medium Resolution 50m
        antennaPointing:          Right
        zeroDopplerSteeringFlag:  ZeroDopplerSteeringOn
        satOrientationRefFrame:   Geocentric
        rawBitsPerSample:         3
        steppedReceiveMode:       True

    radarParameters

    • Groups: (1)
      <xarray.DatasetView> Size: 7kB
      Dimensions:                   (beam: 8, pole: 2, burst: 24)
      Coordinates:
        * beam                      (beam) <U5 160B 'SC-10' 'SC-3' ... 'SC-8' 'SC-9'
        * pole                      (pole) <U2 16B 'HH' 'HV'
        * burst                     (burst) int64 192B 0 1 2 3 4 ... 618 619 620 621
      Data variables:
          rawLine                   (beam, pole, burst) float64 3kB nan nan ... nan
          pulseRepetitionFrequency  (beam, pole, burst) float64 3kB nan nan ... nan

      prfInformation

      • Groups: (0)
      • Dimensions:
        • beam: 8
        • pole: 2
        • burst: 24
      • Coordinates: (3)
        • beam
          (beam)
          <U5
          'SC-10' 'SC-3' ... 'SC-8' 'SC-9'

          array(['SC-10', 'SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9'],
                dtype='<U5')

        • pole
          (pole)
          <U2
          'HH' 'HV'

          array(['HH', 'HV'], dtype='<U2')

        • burst
          (burst)
          int64
          0 1 2 3 4 5 ... 617 618 619 620 621

          array([  0,   1,   2,   3,   4,   5,   6,   7, 102, 105, 358, 359, 360, 362,
                 363, 364, 365, 615, 616, 617, 618, 619, 620, 621])

      • Data variables: (2)
        • rawLine
          (beam, pole, burst)
          float64
          nan nan nan nan ... nan nan nan nan

          array([[[    nan,     nan,     nan,     nan,     nan,     nan,     nan,
                     1222.,     nan,     nan,     nan,  63218.,     nan,     nan,
                       nan,     nan,     nan, 108306.,     nan,     nan,     nan,
                       nan,     nan,     nan],
                  [    nan,     nan,     nan,     nan,     nan,     nan,     nan,
                     1222.,     nan,     nan,     nan,  63218.,     nan,     nan,
                       nan,     nan,     nan, 108306.,     nan,     nan,     nan,
                       nan,     nan,     nan]],
          
                 [[     0.,     nan,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,     nan,     nan,     nan,  63405.,     nan,
                       nan,     nan,     nan,     nan, 108493.,     nan,     nan,
                       nan,     nan,     nan],
                  [     0.,     nan,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,     nan,     nan,     nan,  63405.,     nan,
                       nan,     nan,     nan,     nan, 108493.,     nan,     nan,
                       nan,     nan,     nan]],
          
                 [[    nan,    159.,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,  18476.,     nan,     nan,     nan,     nan,
          ...
                       nan,  64067.,     nan,     nan,     nan,     nan,     nan,
                       nan, 109155.,     nan]],
          
                 [[    nan,     nan,     nan,     nan,     nan,    849.,     nan,
                       nan,     nan,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,  64254.,     nan,     nan,     nan,     nan,
                       nan,     nan, 109342.],
                  [    nan,     nan,     nan,     nan,     nan,    849.,     nan,
                       nan,     nan,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,  64254.,     nan,     nan,     nan,     nan,
                       nan,     nan, 109342.]],
          
                 [[    nan,     nan,     nan,     nan,     nan,     nan,   1022.,
                       nan,  17930.,     nan,  63018.,     nan,     nan,     nan,
                       nan,     nan,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,     nan],
                  [    nan,     nan,     nan,     nan,     nan,     nan,   1022.,
                       nan,  17930.,     nan,  63018.,     nan,     nan,     nan,
                       nan,     nan,     nan,     nan,     nan,     nan,     nan,
                       nan,     nan,     nan]]])

        • pulseRepetitionFrequency
          (beam, pole, burst)
          float64
          nan nan nan nan ... nan nan nan nan

          units :

          Hz

          array([[[          nan,           nan,           nan,           nan,
                             nan,           nan,           nan, 2488.80039821,
                             nan,           nan,           nan, 2490.03984064,
                             nan,           nan,           nan,           nan,
                             nan, 2491.28051819,           nan,           nan,
                             nan,           nan,           nan,           nan],
                  [          nan,           nan,           nan,           nan,
                             nan,           nan,           nan, 2488.80039821,
                             nan,           nan,           nan, 2490.03984064,
                             nan,           nan,           nan,           nan,
                             nan, 2491.28051819,           nan,           nan,
                             nan,           nan,           nan,           nan]],
          
                 [[2782.41513634,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan,
                   2783.96436526,           nan,           nan,           nan,
                             nan,           nan, 2785.51532033,           nan,
                             nan,           nan,           nan,           nan],
                  [2782.41513634,           nan,           nan,           nan,
          ...
                             nan,           nan,           nan, 2507.5225677 ],
                  [          nan,           nan,           nan,           nan,
                             nan, 2505.01002004,           nan,           nan,
                             nan,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan,
                   2506.26566416,           nan,           nan,           nan,
                             nan,           nan,           nan, 2507.5225677 ]],
          
                 [[          nan,           nan,           nan,           nan,
                             nan,           nan, 2765.48672566,           nan,
                   2767.01715551,           nan, 2768.54928018,           nan,
                             nan,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan],
                  [          nan,           nan,           nan,           nan,
                             nan,           nan, 2765.48672566,           nan,
                   2767.01715551,           nan, 2768.54928018,           nan,
                             nan,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan,
                             nan,           nan,           nan,           nan]]])

      • Attributes: (0)

    • Dimensions:
      • beams: 8
      • polarizations: 2
      • pulses: 8
      • beam: 8
      • pole: 2
    • Coordinates: (5)
      • beams
        (beams)
        <U5
        'SC-3' 'SC-4' ... 'SC-9' 'SC-10'

        array(['SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9', 'SC-10'],
              dtype='<U5')

      • polarizations
        (polarizations)
        <U2
        'HH' 'HV'

        array(['HH', 'HV'], dtype='<U2')

      • pulses
        (pulses)
        <U6
        '250036' '220030' ... '150036'

        array(['250036', '220030', '190030', '175034', '175034', '160036', '150030',
               '150036'], dtype='<U6')

      • beam
        (beam)
        <U5
        'SC-10' 'SC-3' ... 'SC-8' 'SC-9'

        array(['SC-10', 'SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9'],
              dtype='<U5')

      • pole
        (pole)
        <U2
        'HH' 'HV'

        array(['HH', 'HV'], dtype='<U2')

    • Data variables: (13)
      • pulsesReceivedPerDwell
        (beam)
        int64
        185 159 158 172 171 185 172 197

        array([185, 159, 158, 172, 171, 185, 172, 197])

      • numberOfPulseIntervalsPerDwell
        (beam)
        int64
        199 171 170 185 184 199 185 212

        array([199, 171, 170, 185, 184, 199, 185, 212])

      • burstDelay
        ()
        float64
        5.36e-05

        units :

        us

        array(5.36e-05)

      • rank
        (beam)
        int64
        14 12 12 13 13 14 13 15

        array([14, 12, 12, 13, 13, 14, 13, 15])

      • settableGain
        (beam, pole)
        float64
        -18.9 -19.7 -18.9 ... -18.9 -19.7

        units :

        dB

        array([[-18.9, -19.7],
               [-18.9, -19.7],
               [-18.9, -19.7],
               [-18.9, -19.7],
               [-18.9, -19.7],
               [-18.9, -19.7],
               [-18.9, -19.7],
               [-18.9, -19.7]])

      • radarCenterFrequency
        ()
        float64
        5.405e+09

        units :

        Hz

        array(5.405e+09)

      • pulseLength
        (beam)
        float64
        3.6e-05 3.6e-05 ... 3.6e-05 3e-05

        units :

        s

        array([3.6e-05, 3.6e-05, 3.0e-05, 3.0e-05, 3.4e-05, 3.4e-05, 3.6e-05,
               3.0e-05])

      • pulseBandwidth
        (beam)
        float64
        1.5e+07 2.5e+07 ... 1.6e+07 1.5e+07

        units :

        Hz

        array([15000000., 25000000., 22000000., 19000000., 17500000., 17500000.,
               16000000., 15000000.])

      • samplingWindowStartTimeFirstRawLine
        (beam, pole)
        float64
        8.1e-05 8.1e-05 ... 6.4e-05 6.4e-05

        units :

        s

        array([[8.100e-05, 8.100e-05],
               [1.044e-04, 1.044e-04],
               [7.720e-05, 7.720e-05],
               [8.640e-05, 8.640e-05],
               [8.620e-05, 8.620e-05],
               [7.400e-05, 7.400e-05],
               [8.940e-05, 8.940e-05],
               [6.400e-05, 6.400e-05]])

      • samplingWindowStartTimeLastRawLine
        (beam, pole)
        float64
        7.92e-05 7.92e-05 ... 6.3e-05

        units :

        s

        array([[7.920e-05, 7.920e-05],
               [1.034e-04, 1.034e-04],
               [7.620e-05, 7.620e-05],
               [8.560e-05, 8.560e-05],
               [8.500e-05, 8.500e-05],
               [7.300e-05, 7.300e-05],
               [8.780e-05, 8.780e-05],
               [6.300e-05, 6.300e-05]])

      • numberOfSwstChanges
        (beam, pole)
        int64
        3 3 3 3 2 2 3 3 3 3 3 3 3 3 3 3

        array([[3, 3],
               [3, 3],
               [2, 2],
               [3, 3],
               [3, 3],
               [3, 3],
               [3, 3],
               [3, 3]])

      • adcSamplingRate
        (beam)
        float64
        1.654e+07 2.688e+07 ... 1.654e+07

        units :

        Hz

        array([16538461.53846154, 26875000.        , 23888888.88888889,
               21500000.        , 19545454.54545455, 19545454.54545455,
               17916666.66666667, 16538461.53846154])

      • samplesPerEchoLine
        (beam)
        int64
        4578 5053 4754 ... 4781 4619 4330

        array([4578, 5053, 4754, 4610, 4535, 4781, 4619, 4330])

    • Attributes: (6)

      acquisitionType :

      Medium Resolution 50m

      antennaPointing :

      Right

      zeroDopplerSteeringFlag :

      ZeroDopplerSteeringOn

      satOrientationRefFrame :

      Geocentric

      rawBitsPerSample :

      3

      steppedReceiveMode :

      True

    <xarray.DatasetView> Size: 0B
    Dimensions:  ()
    Data variables:
        *empty*

    orbitAndAttitude

    • Groups: (2)
      <xarray.DatasetView> Size: 3kB
      Dimensions:    (timeStamp: 60)
      Coordinates:
        * timeStamp  (timeStamp) datetime64[ns] 480B 2020-02-14T11:59:03 ... 2020-0...
      Data variables:
          xPosition  (timeStamp) float64 480B 7.279e+05 7.269e+05 ... 6.672e+05
          yPosition  (timeStamp) float64 480B -4.59e+06 -4.596e+06 ... -4.919e+06
          zPosition  (timeStamp) float64 480B 5.185e+06 5.18e+06 ... 4.883e+06
          xVelocity  (timeStamp) float64 480B -980.8 -982.7 ... -1.076e+03 -1.077e+03
          yVelocity  (timeStamp) float64 480B -5.749e+03 -5.744e+03 ... -5.411e+03
          zVelocity  (timeStamp) float64 480B -4.939e+03 -4.945e+03 ... -5.29e+03
      Attributes:
          passDirection:      Descending
          orbitDataSource:    Downlinked
          withinOrbitTube:    True
          orbitDataFileName:  RCM-1_2020-02-15T12-21-29_003682.DEF_ORBIT
          history:            annotations

      orbitInformation

      • Groups: (0)
      • Dimensions:
        • timeStamp: 60
      • Coordinates: (1)
        • timeStamp
          (timeStamp)
          datetime64[ns]
          2020-02-14T11:59:03 ... 2020-02-...

          array(['2020-02-14T11:59:03.000000000', '2020-02-14T11:59:04.000000000',
                 '2020-02-14T11:59:05.000000000', '2020-02-14T11:59:06.000000000',
                 '2020-02-14T11:59:07.000000000', '2020-02-14T11:59:08.000000000',
                 '2020-02-14T11:59:09.000000000', '2020-02-14T11:59:10.000000000',
                 '2020-02-14T11:59:11.000000000', '2020-02-14T11:59:12.000000000',
                 '2020-02-14T11:59:13.000000000', '2020-02-14T11:59:14.000000000',
                 '2020-02-14T11:59:15.000000000', '2020-02-14T11:59:16.000000000',
                 '2020-02-14T11:59:17.000000000', '2020-02-14T11:59:18.000000000',
                 '2020-02-14T11:59:19.000000000', '2020-02-14T11:59:20.000000000',
                 '2020-02-14T11:59:21.000000000', '2020-02-14T11:59:22.000000000',
                 '2020-02-14T11:59:23.000000000', '2020-02-14T11:59:24.000000000',
                 '2020-02-14T11:59:25.000000000', '2020-02-14T11:59:26.000000000',
                 '2020-02-14T11:59:27.000000000', '2020-02-14T11:59:28.000000000',
                 '2020-02-14T11:59:29.000000000', '2020-02-14T11:59:30.000000000',
                 '2020-02-14T11:59:31.000000000', '2020-02-14T11:59:32.000000000',
                 '2020-02-14T11:59:33.000000000', '2020-02-14T11:59:34.000000000',
                 '2020-02-14T11:59:35.000000000', '2020-02-14T11:59:36.000000000',
                 '2020-02-14T11:59:37.000000000', '2020-02-14T11:59:38.000000000',
                 '2020-02-14T11:59:39.000000000', '2020-02-14T11:59:40.000000000',
                 '2020-02-14T11:59:41.000000000', '2020-02-14T11:59:42.000000000',
                 '2020-02-14T11:59:43.000000000', '2020-02-14T11:59:44.000000000',
                 '2020-02-14T11:59:45.000000000', '2020-02-14T11:59:46.000000000',
                 '2020-02-14T11:59:47.000000000', '2020-02-14T11:59:48.000000000',
                 '2020-02-14T11:59:49.000000000', '2020-02-14T11:59:50.000000000',
                 '2020-02-14T11:59:51.000000000', '2020-02-14T11:59:52.000000000',
                 '2020-02-14T11:59:53.000000000', '2020-02-14T11:59:54.000000000',
                 '2020-02-14T11:59:55.000000000', '2020-02-14T11:59:56.000000000',
                 '2020-02-14T11:59:57.000000000', '2020-02-14T11:59:58.000000000',
                 '2020-02-14T11:59:59.000000000', '2020-02-14T12:00:00.000000000',
                 '2020-02-14T12:00:01.000000000', '2020-02-14T12:00:02.000000000'],
                dtype='datetime64[ns]')

      • Data variables: (6)
        • xPosition
          (timeStamp)
          float64
          7.279e+05 7.269e+05 ... 6.672e+05

          units :

          m

          array([727923.30947263, 726941.64455863, 725958.13683564, 724973.04298486,
                 723986.16095913, 722997.64220788, 722007.48635449, 721015.54747334,
                 720022.17643443, 719027.0232458 , 718030.09067721, 717031.37839573,
                 716031.03774907, 715029.27020538, 714025.57879489, 713020.26184762,
                 712013.52164005, 711004.861258  , 709994.63157736, 708982.58083196,
                 707968.96244183, 706954.07610199, 705937.12653251, 704918.61460305,
                 703898.63562759, 702876.59796516, 701853.29839873, 700828.14310831,
                 699801.52635021, 698773.0571847 , 697743.12972931, 696711.35163037,
                 695678.11686643, 694643.53182431, 693606.69894186, 692568.81482401,
                 691528.88668158, 690487.41201942, 689444.68925865, 688399.92470934,
                 687353.61892812, 686305.97298534, 685256.38479325, 684205.45972062,
                 683152.79624267, 682098.50222315, 681042.76772005, 679985.20382296,
                 678926.1071937 , 677865.47986176, 676803.32307942, 675739.34208841,
                 674674.12941425, 673607.09431736, 672538.53561574, 671468.45300682,
                 670396.75341348, 669323.33250832, 668248.39073433, 667171.93167698])

        • yPosition
          (timeStamp)
          float64
          -4.59e+06 -4.596e+06 ... -4.919e+06

          units :

          m

          array([-4590050.76053492, -4595796.69096692, -4601537.33976971,
                 -4607272.20653086, -4613001.4414    , -4618725.24391992,
                 -4624443.61496387, -4630156.35212007, -4635863.50746889,
                 -4641565.02952279, -4647260.91684301, -4652951.17027059,
                 -4658635.98942621, -4664315.22605111, -4669988.62631062,
                 -4675656.59205696, -4681318.97450602, -4686975.51971469,
                 -4692626.27998742, -4698271.75258578, -4703911.44027417,
                 -4709545.74397367, -4715174.00839712, -4720796.48598445,
                 -4726413.72840058, -4732024.93004653, -4737630.74646207,
                 -4743230.37371314, -4748824.76418523, -4754412.96434803,
                 -4759995.92664488, -4765572.69862616, -4771144.23279265,
                 -4776709.83037195, -4782269.53219045, -4787823.69949293,
                 -4793371.82217743, -4798914.15546998, -4804451.10123265,
                 -4809982.00262607, -4815507.11271239, -4821026.28422674,
                 -4826539.96080751, -4832047.69774999, -4837549.79106517,
                 -4843045.54144243, -4848536.05104385, -4854020.36526055,
                 -4859498.88724383, -4864971.616178  , -4870438.55181537,
                 -4875899.29094726, -4881354.63979461, -4886803.79216617,
                 -4892247.14964126, -4897684.71310792, -4903115.93131872,
                 -4908541.50179648, -4913961.2780503 , -4919375.25813315])

        • zPosition
          (timeStamp)
          float64
          5.185e+06 5.18e+06 ... 4.883e+06

          units :

          m

          array([5185226.88403192, 5180284.8776372 , 5175337.3755486 ,
                 5170382.8787386 , 5165422.88672318, 5160456.39950561,
                 5155484.41708404, 5150505.9394589 , 5145520.96711287,
                 5140530.49956141, 5135533.53680638, 5130531.07884592,
                 5125522.12568331, 5120507.1777989 , 5115486.23470856,
                 5110459.29641514, 5105426.36339992, 5100387.43517876,
                 5095342.51223437, 5090291.09360658, 5085234.18025462,
                 5080170.77218321, 5075101.86890351, 5070026.47090151,
                 5064945.57769694, 5059858.68928502, 5054765.30615364,
                 5049666.42829524, 5044561.55523521, 5039450.68744908,
                 5034333.32446225, 5029210.46674839, 5024081.6138329 ,
                 5018947.2666745 , 5013806.42382842, 5008660.0867423 ,
                 5003507.25444975, 4998348.92743304, 4993184.60569596,
                 4988014.7887506 , 4982838.47708294, 4977656.67117238,
                 4972468.86957606, 4967275.07373778, 4962075.282695  ,
                 4956869.49740739, 4951658.21691722, 4946440.94170097,
                 4941218.17176056, 4935989.40709691, 4930754.64771004,
                 4925513.89359709, 4920267.64476283, 4915015.90120156,
                 4909757.66291799, 4904493.92991026, 4899224.70265678,
                 4893948.98019974, 4888668.26301762, 4883381.05111261])

        • xVelocity
          (timeStamp)
          float64
          -980.8 -982.7 ... -1.077e+03

          units :

          m/s

          array([ -980.81478756,  -982.67609603,  -984.23018897,  -986.05851557,
                  -987.66657746,  -989.33058957,  -991.0951305 ,  -992.50717425,
                  -994.32620822,  -996.08453861,  -997.89977553,  -999.49342342,
                 -1000.92488137, -1002.86515755, -1004.4824983 , -1005.90802614,
                 -1007.84243332, -1009.42447605, -1011.19336614, -1012.80167529,
                 -1014.02628516, -1016.14152845, -1017.68288861, -1019.15234641,
                 -1021.23099567, -1022.44517255, -1024.36084113, -1025.79154078,
                 -1027.67218602, -1029.06765689, -1030.97534028, -1032.39793616,
                 -1033.79120142, -1036.0095479 , -1037.07810339, -1039.10222762,
                 -1040.67729027, -1041.89778706, -1043.97937793, -1045.48438294,
                 -1046.86175378, -1048.77415035, -1050.11512941, -1051.8335701 ,
                 -1053.49090369, -1054.91716206, -1056.76009025, -1058.31314014,
                 -1059.83121038, -1061.34721845, -1063.18147764, -1064.40593108,
                 -1066.26934244, -1067.74334426, -1069.28208626, -1070.94950243,
                 -1072.60653393, -1074.17283686, -1075.6357136 , -1077.21112165])

        • yVelocity
          (timeStamp)
          float64
          -5.749e+03 ... -5.411e+03

          units :

          m/s

          array([-5748.66520635, -5743.54095005, -5737.47322162, -5732.18669317,
                 -5726.49971287, -5721.29672169, -5715.497567  , -5709.73738955,
                 -5704.41660453, -5698.5961932 , -5693.26091964, -5687.52548974,
                 -5681.97694049, -5676.27462521, -5670.76585803, -5665.19672232,
                 -5659.47390336, -5653.79030678, -5648.06181932, -5642.61100456,
                 -5636.86206955, -5631.24910217, -5625.28355647, -5620.06366953,
                 -5614.1816692 , -5608.40072917, -5602.696369  , -5597.20402444,
                 -5591.23781355, -5585.48654428, -5579.75234227, -5574.23553371,
                 -5568.63945201, -5562.50233681, -5557.10147528, -5550.89344106,
                 -5545.32596308, -5539.71511291, -5533.98023491, -5527.89864266,
                 -5522.2474829 , -5516.5138885 , -5510.60154239, -5504.79804875,
                 -5498.65855244, -5493.30327302, -5487.20779737, -5481.56728989,
                 -5475.67228409, -5469.77138021, -5463.64700285, -5458.19727663,
                 -5452.30734908, -5446.13176382, -5440.44558869, -5434.47528888,
                 -5428.33964664, -5422.88148554, -5416.6740862 , -5410.74613856])

        • zVelocity
          (timeStamp)
          float64
          -4.939e+03 -4.945e+03 ... -5.29e+03

          units :

          m/s

          array([-4938.91501984, -4944.54756856, -4951.29304845, -4957.08992441,
                 -4963.36211057, -4969.05777331, -4975.40761002, -4981.74475018,
                 -4987.51581684, -4993.84650725, -4999.60666674, -5005.83405367,
                 -5011.85879394, -5017.97358935, -5023.90225171, -5029.90955326,
                 -5036.00759237, -5042.09381996, -5048.19126857, -5053.98808636,
                 -5060.15153321, -5066.03395385, -5072.36587521, -5077.87486489,
                 -5084.01528905, -5090.14692844, -5096.08698059, -5101.84687493,
                 -5108.04843252, -5114.06843994, -5119.98563844, -5125.72147191,
                 -5131.53261998, -5137.80303014, -5143.42214337, -5149.76397388,
                 -5155.46700671, -5161.25140249, -5167.03845842, -5173.25870495,
                 -5179.02522429, -5184.79425577, -5190.81424281, -5196.65658633,
                 -5202.84492203, -5208.23019957, -5214.3205213 , -5219.96118289,
                 -5225.8576287 , -5231.74816724, -5237.81246265, -5243.24927749,
                 -5249.04211995, -5255.16570292, -5260.76539776, -5266.62684154,
                 -5272.64332038, -5277.96832163, -5284.05756611, -5289.83404006])

      • Attributes: (5)

        passDirection :

        Descending

        orbitDataSource :

        Downlinked

        withinOrbitTube :

        True

        orbitDataFileName :

        RCM-1_2020-02-15T12-21-29_003682.DEF_ORBIT

        history :

        annotations

      <xarray.DatasetView> Size: 4kB
      Dimensions:    (timeStamp: 120)
      Coordinates:
        * timeStamp  (timeStamp) datetime64[ns] 960B 2020-02-14T11:59:01.690000 ......
      Data variables:
          yaw        (timeStamp) float64 960B 2.483 2.481 2.48 ... 2.649 2.651 2.653
          roll       (timeStamp) float64 960B -33.1 -33.1 -33.1 ... -33.1 -33.1 -33.1
          pitch      (timeStamp) float64 960B 0.03679 0.0368 0.0368 ... 0.0394 0.03931
      Attributes:
          attitudeDataSource:      Downlink
          attitudeOffsetsApplied:  True

      attitudeInformation

      • Groups: (0)
      • Dimensions:
        • timeStamp: 120
      • Coordinates: (1)
        • timeStamp
          (timeStamp)
          datetime64[ns]
          2020-02-14T11:59:01.690000 ... 2...

          array(['2020-02-14T11:59:01.690000000', '2020-02-14T11:59:02.190000000',
                 '2020-02-14T11:59:02.690000000', '2020-02-14T11:59:03.190000000',
                 '2020-02-14T11:59:03.690000000', '2020-02-14T11:59:04.190000000',
                 '2020-02-14T11:59:04.690000000', '2020-02-14T11:59:05.190000000',
                 '2020-02-14T11:59:05.690000000', '2020-02-14T11:59:06.190000000',
                 '2020-02-14T11:59:06.690000000', '2020-02-14T11:59:07.190000000',
                 '2020-02-14T11:59:07.690000000', '2020-02-14T11:59:08.190000000',
                 '2020-02-14T11:59:08.690000000', '2020-02-14T11:59:09.190000000',
                 '2020-02-14T11:59:09.690000000', '2020-02-14T11:59:10.190000000',
                 '2020-02-14T11:59:10.690000000', '2020-02-14T11:59:11.190000000',
                 '2020-02-14T11:59:11.690000000', '2020-02-14T11:59:12.190000000',
                 '2020-02-14T11:59:12.690000000', '2020-02-14T11:59:13.190000000',
                 '2020-02-14T11:59:13.690000000', '2020-02-14T11:59:14.190000000',
                 '2020-02-14T11:59:14.690000000', '2020-02-14T11:59:15.190000000',
                 '2020-02-14T11:59:15.690000000', '2020-02-14T11:59:16.190000000',
                 '2020-02-14T11:59:16.690000000', '2020-02-14T11:59:17.190000000',
                 '2020-02-14T11:59:17.690000000', '2020-02-14T11:59:18.190000000',
                 '2020-02-14T11:59:18.690000000', '2020-02-14T11:59:19.190000000',
                 '2020-02-14T11:59:19.690000000', '2020-02-14T11:59:20.190000000',
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                 '2020-02-14T11:59:21.690000000', '2020-02-14T11:59:22.190000000',
                 '2020-02-14T11:59:22.690000000', '2020-02-14T11:59:23.190000000',
                 '2020-02-14T11:59:23.690000000', '2020-02-14T11:59:24.190000000',
                 '2020-02-14T11:59:24.690000000', '2020-02-14T11:59:25.190000000',
                 '2020-02-14T11:59:25.690000000', '2020-02-14T11:59:26.190000000',
                 '2020-02-14T11:59:26.690000000', '2020-02-14T11:59:27.190000000',
                 '2020-02-14T11:59:27.690000000', '2020-02-14T11:59:28.190000000',
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                 '2020-02-14T11:59:29.690000000', '2020-02-14T11:59:30.190000000',
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                 '2020-02-14T11:59:36.690000000', '2020-02-14T11:59:37.190000000',
                 '2020-02-14T11:59:37.690000000', '2020-02-14T11:59:38.190000000',
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                 '2020-02-14T11:59:39.690000000', '2020-02-14T11:59:40.190000000',
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                 '2020-02-14T11:59:43.690000000', '2020-02-14T11:59:44.190000000',
                 '2020-02-14T11:59:44.690000000', '2020-02-14T11:59:45.190000000',
                 '2020-02-14T11:59:45.690000000', '2020-02-14T11:59:46.190000000',
                 '2020-02-14T11:59:46.690000000', '2020-02-14T11:59:47.190000000',
                 '2020-02-14T11:59:47.690000000', '2020-02-14T11:59:48.190000000',
                 '2020-02-14T11:59:48.690000000', '2020-02-14T11:59:49.190000000',
                 '2020-02-14T11:59:49.690000000', '2020-02-14T11:59:50.190000000',
                 '2020-02-14T11:59:50.690000000', '2020-02-14T11:59:51.190000000',
                 '2020-02-14T11:59:51.690000000', '2020-02-14T11:59:52.190000000',
                 '2020-02-14T11:59:52.690000000', '2020-02-14T11:59:53.190000000',
                 '2020-02-14T11:59:53.690000000', '2020-02-14T11:59:54.190000000',
                 '2020-02-14T11:59:54.690000000', '2020-02-14T11:59:55.190000000',
                 '2020-02-14T11:59:55.690000000', '2020-02-14T11:59:56.190000000',
                 '2020-02-14T11:59:56.690000000', '2020-02-14T11:59:57.190000000',
                 '2020-02-14T11:59:57.690000000', '2020-02-14T11:59:58.190000000',
                 '2020-02-14T11:59:58.690000000', '2020-02-14T11:59:59.190000000',
                 '2020-02-14T11:59:59.690000000', '2020-02-14T12:00:00.190000000',
                 '2020-02-14T12:00:00.690000000', '2020-02-14T12:00:01.190000000'],
                dtype='datetime64[ns]')

      • Data variables: (3)
        • yaw
          (timeStamp)
          float64
          2.483 2.481 2.48 ... 2.651 2.653

          units :

          deg

          array([2.4825742 , 2.48076069, 2.47957233, 2.47918297, 2.47975327,
                 2.48161448, 2.48409982, 2.48553164, 2.48621905, 2.48761305,
                 2.48951223, 2.49111127, 2.49264069, 2.49375886, 2.49506363,
                 2.49739242, 2.50014227, 2.5016668 , 2.50254504, 2.50373631,
                 2.50510565, 2.50610786, 2.50682039, 2.5081493 , 2.51005985,
                 2.51244751, 2.51494673, 2.51614271, 2.51672125, 2.51772594,
                 2.51939424, 2.52170564, 2.52403599, 2.52510445, 2.52572301,
                 2.52719287, 2.52895023, 2.53028011, 2.53141021, 2.53244571,
                 2.53410439, 2.53723036, 2.54050134, 2.54114224, 2.54078346,
                 2.54201744, 2.54389774, 2.54634651, 2.54826042, 2.54847458,
                 2.54858755, 2.55081834, 2.55405184, 2.55535971, 2.5557725 ,
                 2.55742905, 2.55959258, 2.56069495, 2.56143046, 2.56345446,
                 2.56586994, 2.56685948, 2.56731293, 2.56876086, 2.57081214,
                 2.57343256, 2.57573582, 2.57576605, 2.57538475, 2.57748822,
                 2.58094005, 2.58235261, 2.58270052, 2.58339182, 2.58499564,
                 2.58783467, 2.59058896, 2.59143445, 2.59099117, 2.59211523,
                 2.59399716, 2.59654733, 2.59890772, 2.59966223, 2.59983964,
                 2.60160872, 2.60405772, 2.60582544, 2.60685566, 2.60815537,
                 2.60964036, 2.61145769, 2.61342557, 2.61448282, 2.61521078,
                 2.6162366 , 2.61772419, 2.61952165, 2.62128633, 2.62320189,
                 2.62493513, 2.62589379, 2.62652385, 2.62860523, 2.63131818,
                 2.63234399, 2.63291775, 2.63432358, 2.63623493, 2.63802177,
                 2.63946957, 2.64074454, 2.64199083, 2.64321214, 2.64440754,
                 2.64563327, 2.64686005, 2.64863706, 2.65078186, 2.65265346])

        • roll
          (timeStamp)
          float64
          -33.1 -33.1 -33.1 ... -33.1 -33.1

          units :

          deg

          array([-33.09609606, -33.09616174, -33.09622792, -33.09610613,
                 -33.09625851, -33.0962878 , -33.09613316, -33.09626265,
                 -33.09613897, -33.09621064, -33.09624534, -33.09616496,
                 -33.09624974, -33.0963313 , -33.09636896, -33.09629866,
                 -33.09624919, -33.0961742 , -33.09621848, -33.09604786,
                 -33.09614875, -33.09610405, -33.09609151, -33.09631778,
                 -33.09615188, -33.09611575, -33.09618605, -33.096119  ,
                 -33.09611181, -33.0961629 , -33.09615362, -33.09623436,
                 -33.09617051, -33.09621801, -33.09615027, -33.09626088,
                 -33.09630227, -33.09617142, -33.09612745, -33.09616667,
                 -33.09616736, -33.09606045, -33.09609698, -33.09619198,
                 -33.09598391, -33.09599604, -33.09607972, -33.09607433,
                 -33.09616747, -33.09599338, -33.09630533, -33.0961322 ,
                 -33.0961748 , -33.09612161, -33.09613107, -33.09623534,
                 -33.09627958, -33.09613671, -33.09615388, -33.09614075,
                 -33.09610117, -33.09600658, -33.09606108, -33.09608258,
                 -33.0961077 , -33.09603352, -33.09603575, -33.09597008,
                 -33.09598234, -33.09602739, -33.09587276, -33.09598408,
                 -33.09614216, -33.09616246, -33.09614694, -33.09614666,
                 -33.09617555, -33.09624351, -33.09613749, -33.09620345,
                 -33.09609662, -33.09606849, -33.09601343, -33.09609238,
                 -33.09598559, -33.09601857, -33.09596181, -33.09603454,
                 -33.09600685, -33.09615954, -33.09601532, -33.09603106,
                 -33.09612295, -33.09603647, -33.09615713, -33.09603604,
                 -33.09610022, -33.09601869, -33.0959568 , -33.09587191,
                 -33.09603636, -33.09599721, -33.09601629, -33.09590475,
                 -33.09585318, -33.09591727, -33.0960069 , -33.09609166,
                 -33.09619725, -33.09618534, -33.09616728, -33.09616386,
                 -33.09601483, -33.09606245, -33.09610963, -33.09601805,
                 -33.0959243 , -33.09594704, -33.09598434, -33.09587863])

        • pitch
          (timeStamp)
          float64
          0.03679 0.0368 ... 0.0394 0.03931

          units :

          deg

          array([0.03679362, 0.03680441, 0.03679661, 0.03684141, 0.0368976 ,
                 0.03681612, 0.03675182, 0.03691876, 0.03688179, 0.03699707,
                 0.03685591, 0.03687528, 0.03693445, 0.03693339, 0.03696795,
                 0.03691544, 0.03717547, 0.03708701, 0.03716424, 0.03723782,
                 0.03720752, 0.03715445, 0.03724608, 0.03718169, 0.03732718,
                 0.03730976, 0.03720791, 0.03740682, 0.03745385, 0.03738031,
                 0.03738323, 0.03732924, 0.03741362, 0.03741069, 0.03732956,
                 0.03741073, 0.03755821, 0.03748178, 0.03754432, 0.03777073,
                 0.03748692, 0.03768606, 0.03770913, 0.03770331, 0.03779442,
                 0.03783734, 0.03790894, 0.0378273 , 0.03775331, 0.03794632,
                 0.03790555, 0.03771848, 0.03784641, 0.03785708, 0.0378396 ,
                 0.03801013, 0.03795766, 0.03790579, 0.0379796 , 0.03783509,
                 0.03788714, 0.03809063, 0.0381857 , 0.03819755, 0.03839195,
                 0.03841299, 0.03840452, 0.03840418, 0.03829848, 0.03833389,
                 0.03829368, 0.03823714, 0.03820326, 0.03819795, 0.03820528,
                 0.03817389, 0.03840712, 0.03834946, 0.03860235, 0.03848722,
                 0.03844962, 0.03861047, 0.03868924, 0.03865648, 0.03875321,
                 0.03864087, 0.03870068, 0.03861441, 0.03881339, 0.03852714,
                 0.0386664 , 0.03866511, 0.03869844, 0.03867147, 0.03880164,
                 0.03882205, 0.03882651, 0.03884828, 0.03890649, 0.03897195,
                 0.03904818, 0.0391383 , 0.0391245 , 0.03918455, 0.03900077,
                 0.03911474, 0.03902422, 0.03916339, 0.03906923, 0.03916618,
                 0.03914283, 0.03910461, 0.03914048, 0.03917898, 0.03912948,
                 0.03931096, 0.03933284, 0.03940048, 0.03939982, 0.03931393])

      • Attributes: (2)

        attitudeDataSource :

        Downlink

        attitudeOffsetsApplied :

        True

    • Dimensions:
    • Coordinates: (0)
    • Data variables: (0)
    • Attributes: (0)

    <xarray.DatasetView> Size: 377kB
    Dimensions:               (pole: 2, beam: 8, histogram: 1467)
    Coordinates:
      * pole                  (pole) <U2 16B 'HH' 'HV'
      * beam                  (beam) <U5 160B 'SC-10' 'SC-3' ... 'SC-8' 'SC-9'
    Dimensions without coordinates: histogram
    Data variables:
        numberOfMissingLines  (pole) int64 16B 0 0
        bias                  (pole, beam) complex128 256B (-0.008008179254829884...
        standardDeviation     (pole, beam) complex128 256B (23.67938423156738+23....
        gainImbalance         (pole, beam) float64 128B 0.9987 0.9987 ... 0.9971
        phaseOrthogonality    (pole, beam) float64 128B -0.07973 ... -0.08485
        rawDataHistogram      (histogram, pole, beam) complex128 376kB 0j 0j ... 0j
    Attributes:
        numberOfInputDataGaps:  0
        gapSize:                100

    rawDataAttributes

    • Groups: (0)
    • Dimensions:
      • pole: 2
      • beam: 8
      • histogram: 1467
    • Coordinates: (2)
      • pole
        (pole)
        <U2
        'HH' 'HV'

        array(['HH', 'HV'], dtype='<U2')

      • beam
        (beam)
        <U5
        'SC-10' 'SC-3' ... 'SC-8' 'SC-9'

        array(['SC-10', 'SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9'],
              dtype='<U5')

    • Data variables: (6)
      • numberOfMissingLines
        (pole)
        int64
        0 0

        array([0, 0])

      • bias
        (pole, beam)
        complex128
        (-0.008008179254829884+0.0346506...

        array([[-0.00800818+0.03465065j, -0.03131863+0.01901898j,
                -0.00115704+0.03699617j, -0.03470577-0.00050093j,
                -0.0178196 -0.00101219j, -0.02243368+0.02061179j,
                -0.02645879+0.00732895j,  0.0091192 +0.02533829j],
               [-0.04086595-0.10393665j, -0.03829988-0.10074355j,
                -0.02957907-0.09534553j, -0.0405474 -0.09852054j,
                -0.03352569-0.09995616j, -0.03778108-0.09217259j,
                -0.03086755-0.09578045j, -0.03091986-0.09191641j]])

      • standardDeviation
        (pole, beam)
        complex128
        (23.67938423156738+23.7111988067...

        array([[23.67938423+23.71119881j, 47.7175827 +47.77791595j,
                38.79421234+38.8890686j , 29.29199791+29.31474686j,
                27.56559944+27.58312798j, 21.04188538+21.06681252j,
                28.02896881+28.09051132j, 23.13762474+23.18834496j],
               [ 9.73390675 +9.76785946j, 15.96218491+16.00499916j,
                13.87858677+13.92871952j, 10.78365517+10.80482483j,
                10.46121502+10.4909029j ,  8.42882538 +8.45581245j,
                11.38443661+11.40744972j,  9.51571941 +9.54342937j]])

      • gainImbalance
        (pole, beam)
        float64
        0.9987 0.9987 ... 0.998 0.9971

        array([[0.99865824, 0.99873722, 0.99756086, 0.99922395, 0.9993645 ,
                0.99881673, 0.99780911, 0.99781269],
               [0.99652404, 0.99732494, 0.99640077, 0.99804074, 0.99717015,
                0.99680847, 0.99798262, 0.99709642]])

      • phaseOrthogonality
        (pole, beam)
        float64
        -0.07973 -0.09921 ... -0.08485

        units :

        deg

        array([[-0.07972926, -0.09921373, -0.08881833, -0.1901958 , -0.10420529,
                -0.04352544, -0.16050535, -0.12335774],
               [-0.01482264, -0.0282644 , -0.03435602, -0.14133196, -0.12533182,
                -0.1033835 ,  0.01185991, -0.08484855]])

      • rawDataHistogram
        (histogram, pole, beam)
        complex128
        0j 0j 0j 0j 0j ... 0j 0j 0j 0j 0j

        array([[[0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j],
                [0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j]],
        
               [[0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j],
                [0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j]],
        
               [[0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j],
                [0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j]],
        
               ...,
        
               [[0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j],
                [0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j]],
        
               [[0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j],
                [0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j]],
        
               [[0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j],
                [0.+0.j, 0.+0.j, 0.+0.j, ..., 0.+0.j, 0.+0.j, 0.+0.j]]])

    • Attributes: (2)

      numberOfInputDataGaps :

      0

      gapSize :

      100

  • Dimensions:
  • Coordinates: (0)
  • Data variables: (0)
  • Attributes: (10)

    satellite :

    RCM-1

    sensor :

    SAR

    polarizationDataMode :

    Dual Co/Cross

    downlinkSegmentId :

    133105_150136

    inputDatasetFacilityId :

    GATN

    beamMode :

    Medium Resolution 50m

    beamModeDefinitionId :

    22

    beamModeVersion :

    1

    beamModeMnemonic :

    SC50MB

    rawDataStartTime :

    2020-02-14T11:59:05.845000Z

  <xarray.DatasetView> Size: 0B
  Dimensions:  ()
  Data variables:
      *empty*

  imageGenerationParameters

  • Groups: (4)
    <xarray.DatasetView> Size: 0B
    Dimensions:  ()
    Data variables:
        *empty*
    Attributes:
        productType:         GRD
        processingFacility:  SHUB
        processingTime:      2020-02-17T19:52:32.000000Z
        softwareVersion:     RCM PGS 6.25
        processingMode:      Standard
        processingPriority:  Low

    generalProcessingInformation

    • Groups: (0)
    • Dimensions:
    • Coordinates: (0)
    • Data variables: (0)
    • Attributes: (6)

      productType :

      GRD

      processingFacility :

      SHUB

      processingTime :

      2020-02-17T19:52:32.000000Z

      softwareVersion :

      RCM PGS 6.25

      processingMode :

      Standard

      processingPriority :

      Low

    <xarray.DatasetView> Size: 544B
    Dimensions:                               (pole: 2, beam: 8)
    Coordinates:
      * pole                                  (pole) <U2 16B 'HH' 'HV'
      * beam                                  (beam) <U5 160B 'SC-3' ... 'SC-10'
    Data variables:
        atmosphericPropagationDelay           float64 8B 0.0
        numberOfLinesProcessed                (pole) int64 16B 136673 136673
        rangeLookBandwidth                    float64 8B 8.065e+06
        totalProcessedRangeBandwidth          float64 8B 2.5e+07
        perBeamNumberOfRangeLooks             (beam) int64 64B 4 4 4 4 4 4 4 4
        perBeamRangeLookBandwidths            (beam) float64 64B 8.065e+06 ... 4....
        perBeamTotalProcessedRangeBandwidths  (beam) float64 64B 8.065e+06 ... 4....
        azimuthLookBandwidth                  (beam) float64 64B 162.6 ... 161.7
        totalProcessedAzimuthBandwidth        (beam) float64 64B 162.6 ... 161.7
        satelliteHeight                       float64 8B 5.965e+05
    Attributes: (12/19)
        lutApplied:                      Ice
        perPolarizationScaling:          False
        atmosphericCorrection:           False
        elevationPatternCorrection:      True
        rangeSpreadingLossCorrection:    True
        pulseDependentGainCorrection:    True
        ...                              ...
        radiometricSmoothingPerformed:   True
        zeroDopplerTimeFirstLine:        2020-02-14T11:59:05.340390Z
        zeroDopplerTimeLastLine:         2020-02-14T12:00:00.709127Z
        numberOfRangeLooks:              4
        perBeamNumberOfRangeLooksUsed:   True
        numberOfAzimuthLooks:            1

    sarProcessingInformation

    • Groups: (0)
    • Dimensions:
      • pole: 2
      • beam: 8
    • Coordinates: (2)
      • pole
        (pole)
        <U2
        'HH' 'HV'

        array(['HH', 'HV'], dtype='<U2')

      • beam
        (beam)
        <U5
        'SC-3' 'SC-4' ... 'SC-9' 'SC-10'

        array(['SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9', 'SC-10'],
              dtype='<U5')

    • Data variables: (10)
      • atmosphericPropagationDelay
        ()
        float64
        0.0

        units :

        us

        array(0.)

      • numberOfLinesProcessed
        (pole)
        int64
        136673 136673

        array([136673, 136673])

      • rangeLookBandwidth
        ()
        float64
        8.065e+06

        units :

        Hz

        array(8064516.12903226)

      • totalProcessedRangeBandwidth
        ()
        float64
        2.5e+07

        units :

        Hz

        array(25000000.)

      • perBeamNumberOfRangeLooks
        (beam)
        int64
        4 4 4 4 4 4 4 4

        array([4, 4, 4, 4, 4, 4, 4, 4])

      • perBeamRangeLookBandwidths
        (beam)
        float64
        8.065e+06 7.097e+06 ... 4.839e+06

        units :

        Hz

        array([8064516.12903226, 7096774.19354839, 6129032.25806452,
               5645161.29032258, 5645161.29032258, 5161290.32258064,
               4838709.67741936, 4838709.67741936])

      • perBeamTotalProcessedRangeBandwidths
        (beam)
        float64
        8.065e+06 7.097e+06 ... 4.839e+06

        units :

        Hz

        array([8064516.12903226, 7096774.19354839, 6129032.25806452,
               5645161.29032258, 5645161.29032258, 5161290.32258064,
               4838709.67741936, 4838709.67741936])

      • azimuthLookBandwidth
        (beam)
        float64
        162.6 162.3 162.5 ... 161.3 161.7

        units :

        Hz

        array([162.55053665, 162.25296746, 162.47780674, 161.36839582,
               162.33496112, 161.90828836, 161.25816358, 161.72356613])

      • totalProcessedAzimuthBandwidth
        (beam)
        float64
        162.6 162.3 162.5 ... 161.3 161.7

        units :

        Hz

        array([162.55053665, 162.25296746, 162.47780674, 161.36839582,
               162.33496112, 161.90828836, 161.25816358, 161.72356613])

      • satelliteHeight
        ()
        float64
        5.965e+05

        units :

        m

        array(596462.6330914)

    • Attributes: (19)

      lutApplied :

      Ice

      perPolarizationScaling :

      False

      atmosphericCorrection :

      False

      elevationPatternCorrection :

      True

      rangeSpreadingLossCorrection :

      True

      pulseDependentGainCorrection :

      True

      noiseSubtractionPerformed :

      False

      receiverSettableGainCorrection :

      True

      rawDataCorrection :

      True

      bistaticCorrectionApplied :

      True

      rangeReferenceFunctionSource :

      Nominal Chirp

      dopplerSource :

      Adaptive Analysis

      estimatedRollAngleUsed :

      False

      radiometricSmoothingPerformed :

      True

      zeroDopplerTimeFirstLine :

      2020-02-14T11:59:05.340390Z

      zeroDopplerTimeLastLine :

      2020-02-14T12:00:00.709127Z

      numberOfRangeLooks :

      4

      perBeamNumberOfRangeLooksUsed :

      True

      numberOfAzimuthLooks :

      1

    <xarray.DatasetView> Size: 2kB
    Dimensions:                  (pole: 2, pulse: 7, coefficients: 4)
    Coordinates:
      * pole                     (pole) <U2 16B 'HH' 'HV'
      * pulse                    (pulse) <U2 56B '25' '27' '28' '29' '32' '34' '35'
    Dimensions without coordinates: coefficients
    Data variables:
        chirpPower               (pole, pulse) float64 112B 124.3 121.7 ... 119.1
        amplitudeCoefficients    (coefficients, pole, pulse) float64 448B 1.0 ......
        phaseCoefficients        (coefficients, pole, pulse) float64 448B 0.385 ....
        replicaQualityValid      (pole, pulse) bool 14B True True True ... True True
        crossCorrelationWidth    (pole, pulse) float64 112B 0.9375 0.9475 ... 0.9632
        sideLobeLevel            (pole, pulse) float64 112B -13.17 -13.23 ... -13.17
        integratedSideLobeRatio  (pole, pulse) float64 112B -11.15 -11.17 ... -11.12
        crossCorrelationPeakLoc  (pole, pulse) float64 112B 35.14 29.98 ... 17.3

    chirps

    • Groups: (0)
    • Dimensions:
      • pole: 2
      • pulse: 7
      • coefficients: 4
    • Coordinates: (2)
      • pole
        (pole)
        <U2
        'HH' 'HV'

        array(['HH', 'HV'], dtype='<U2')

      • pulse
        (pulse)
        <U2
        '25' '27' '28' '29' '32' '34' '35'

        array(['25', '27', '28', '29', '32', '34', '35'], dtype='<U2')

    • Data variables: (8)
      • chirpPower
        (pole, pulse)
        float64
        124.3 121.7 120.8 ... 120.7 119.1

        units :

        dB

        array([[124.31692423, 121.71113126, 120.78993526, 121.00481844,
                120.75358809, 120.09343596, 118.50972744],
               [124.88071716, 122.27784137, 121.35079997, 121.55517552,
                121.30470254, 120.65599447, 119.07622605]])

      • amplitudeCoefficients
        (coefficients, pole, pulse)
        float64
        1.0 1.0 1.0 ... 5.908e+11 1.162e+12

        array([[[ 1.00000000e+00,  9.99999940e-01,  1.00000000e+00,
                  1.00000000e+00,  1.00000000e+00,  1.00000000e+00,
                  1.00000000e+00],
                [ 9.99999940e-01,  1.00000000e+00,  1.00000000e+00,
                  1.00000000e+00,  1.00000000e+00,  1.00000000e+00,
                  1.00000000e+00]],
        
               [[ 2.35746574e+01,  9.28031063e+00, -1.09472786e+02,
                 -4.65980492e+01, -1.41407455e+02, -1.34874374e+02,
                 -1.44432556e+02],
                [ 2.43069820e+01,  8.70788574e+01,  2.69726849e+01,
                 -1.80289478e+01, -1.23713913e+02, -1.57395935e+02,
                 -1.01592735e+02]],
        
               [[-5.87182750e+05,  3.78516172e+04,  8.91118375e+05,
                  1.64202400e+06,  5.32206400e+06,  9.38869900e+06,
                  1.87279540e+07],
                [ 1.03203340e+07,  1.04639250e+07,  1.64016620e+07,
                  8.29220200e+06,  1.35642510e+07,  2.89016340e+07,
                  3.10712860e+07]],
        
               [[ 4.73128108e+11,  9.30165424e+11,  1.56489784e+12,
                  2.97620963e+11,  5.19305658e+11,  5.12749994e+11,
                  1.35676284e+12],
                [ 5.83621476e+11,  6.76090020e+11,  9.43358411e+11,
                  1.06878370e+11,  4.81406157e+11,  5.90788231e+11,
                  1.16246000e+12]]])

      • phaseCoefficients
        (coefficients, pole, pulse)
        float64
        0.385 0.7922 ... 1.708e+12

        array([[[ 3.85014415e-01,  7.92232871e-01,  3.26141983e-01,
                  5.22548258e-01,  1.03366897e-01,  5.16008258e-01,
                  3.84750180e-02],
                [ 4.62241083e-01,  8.69483829e-01,  4.03388083e-01,
                  5.99935234e-01,  1.80389583e-01,  5.93171775e-01,
                  1.15691975e-01]],
        
               [[ 2.07816562e+05,  1.82225984e+05,  1.31055594e+05,
                  7.42107734e+04,  4.25827930e+04,  1.28082539e+04,
                  1.15338623e+04],
                [ 2.07726062e+05,  1.82123812e+05,  1.30968398e+05,
                  7.41308359e+04,  4.25146445e+04,  1.27565078e+04,
                  1.14659863e+04]],
        
               [[-3.54180956e+11, -3.74029320e+11, -3.23014754e+11,
                 -2.62515622e+11, -2.26679308e+11, -2.12517388e+11,
                 -2.55021892e+11],
                [-3.54180923e+11, -3.74029320e+11, -3.23014459e+11,
                 -2.62515507e+11, -2.26678833e+11, -2.12517093e+11,
                 -2.55021564e+11]],
        
               [[ 1.14992139e+12,  5.99003955e+11,  8.10924638e+11,
                  7.30079494e+11,  2.69475463e+11,  6.64492442e+10,
                  1.65658925e+12],
                [ 1.27413440e+12,  8.36532896e+11,  9.74564098e+11,
                  8.55384261e+11,  3.59849755e+11,  1.00224164e+11,
                  1.70776461e+12]]])

      • replicaQualityValid
        (pole, pulse)
        bool
        True True True ... True True True

        array([[ True,  True,  True,  True,  True,  True,  True],
               [ True,  True,  True,  True,  True,  True,  True]])

      • crossCorrelationWidth
        (pole, pulse)
        float64
        0.9375 0.9475 ... 0.9625 0.9632

        array([[0.93751526, 0.9475441 , 0.98721123, 0.97546387, 0.97758865,
                0.96277237, 0.96326065],
               [0.93716431, 0.94730568, 0.98684311, 0.97510147, 0.97732544,
                0.96245766, 0.9631691 ]])

      • sideLobeLevel
        (pole, pulse)
        float64
        -13.17 -13.23 ... -13.09 -13.17

        units :

        dB

        array([[-13.16657352, -13.22963619, -13.22489929, -13.23089695,
                -13.20590878, -13.12987518, -13.20016193],
               [-13.13167286, -13.20008755, -13.18969345, -13.20178318,
                -13.1806078 , -13.09494019, -13.17325592]])

      • integratedSideLobeRatio
        (pole, pulse)
        float64
        -11.15 -11.17 ... -11.12 -11.12

        units :

        dB

        array([[-11.15097046, -11.1659317 , -11.19141006, -11.14718437,
                -11.15387821, -11.13457489, -11.12428093],
               [-11.13533783, -11.15543938, -11.17501354, -11.13161182,
                -11.14039803, -11.12054157, -11.11644077]])

      • crossCorrelationPeakLoc
        (pole, pulse)
        float64
        35.14 29.98 25.86 ... 17.3 17.3

        array([[35.140625, 29.984375, 25.859375, 22.5     , 19.6875  , 17.296875,
                17.296875],
               [35.140625, 29.984375, 25.859375, 22.484375, 19.6875  , 17.296875,
                17.296875]])

    • Attributes: (0)

    <xarray.DatasetView> Size: 63kB
    Dimensions:                           (zeroDopplerAzimuthTime: 278,
                                           coefficients: 13)
    Coordinates:
      * zeroDopplerAzimuthTime            (zeroDopplerAzimuthTime) <U27 30kB '202...
    Dimensions without coordinates: coefficients
    Data variables:
        slantRangeTimeToFirstRangeSample  (zeroDopplerAzimuthTime) float64 2kB 0....
        groundRangeOrigin                 (zeroDopplerAzimuthTime) float64 2kB 0....
        groundToSlantRangeCoefficients    (zeroDopplerAzimuthTime, coefficients) float64 29kB ...

    slantRangeToGroundRange

    • Groups: (0)
    • Dimensions:
      • zeroDopplerAzimuthTime: 278
      • coefficients: 13
    • Coordinates: (1)
      • zeroDopplerAzimuthTime
        (zeroDopplerAzimuthTime)
        <U27
        '2020-02-14T11:59:05.340390Z' .....

        array(['2020-02-14T11:59:05.340390Z', '2020-02-14T11:59:05.540277Z',
               '2020-02-14T11:59:05.740164Z', ..., '2020-02-14T12:00:00.309353Z',
               '2020-02-14T12:00:00.509240Z', '2020-02-14T12:00:00.709127Z'],
              dtype='<U27')

    • Data variables: (3)
      • slantRangeTimeToFirstRangeSample
        (zeroDopplerAzimuthTime)
        float64
        0.004411 0.004411 ... 0.004411

        units :

        s

        array([0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
        ...
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135, 0.00441135, 0.00441135,
               0.00441135, 0.00441135, 0.00441135])

      • groundRangeOrigin
        (zeroDopplerAzimuthTime)
        float64
        0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

        units :

        m

        array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
               0., 0., 0., 0., 0., 0.])

      • groundToSlantRangeCoefficients
        (zeroDopplerAzimuthTime, coefficients)
        float64
        6.612e+05 0.4508 ... -8.253e-67

        array([[ 6.61244219e+05,  4.50807636e-01,  6.72328152e-07, ...,
                 1.56573612e-54, -8.77878099e-61,  2.67197890e-67],
               [ 6.61244219e+05,  4.50816410e-01,  6.72321817e-07, ...,
                 3.60147460e-56,  6.99533930e-61, -4.45377274e-67],
               [ 6.61244219e+05,  4.50825183e-01,  6.72315632e-07, ...,
                 2.48295440e-54, -1.84362413e-60,  7.12679590e-67],
               ...,
               [ 6.61244219e+05,  4.53195935e-01,  6.70615303e-07, ...,
                 1.69951547e-54, -1.05860162e-60,  3.66742712e-67],
               [ 6.61244219e+05,  4.53204502e-01,  6.70609142e-07, ...,
                 1.02046945e-54, -3.01143157e-61,  0.00000000e+00],
               [ 6.61244219e+05,  4.53213070e-01,  6.70602920e-07, ...,
                -6.96341183e-55,  1.49717905e-60, -8.25342613e-67]])

    • Attributes: (0)

  • Dimensions:
  • Coordinates: (0)
  • Data variables: (0)
  • Attributes: (0)

  <xarray.DatasetView> Size: 664B
  Dimensions:              (sarCalibrationType: 3, pole: 2)
  Coordinates:
    * sarCalibrationType   (sarCalibrationType) <U12 144B 'Beta Nought' ... 'Si...
    * pole                 (pole) <U2 16B 'HH' 'HV'
  Data variables:
      lookupTableFileName  (sarCalibrationType, pole) <U15 360B 'lutBeta_HH.xml...
      noiseLevelFileName   (pole) <U18 144B 'noiseLevels_HH.xml' 'noiseLevels_H...
  Attributes:
      productFormat:            GeoTIFF
      outputMediaInterleaving:  BSQ
      incidenceAngleFileName:   incidenceAngles.xml

  imageReferenceAttributes

  • Groups: (2)
    <xarray.DatasetView> Size: 40B
    Dimensions:                  ()
    Data variables:
        bitsPerSample            int64 8B 16
        sampledPixelSpacing      float64 8B 20.0
        sampledLineSpacing       float64 8B 20.0
        sampledPixelSpacingTime  float64 8B 1.334e-07
        sampledLineSpacingTime   float64 8B 0.002895
    Attributes:
        sampleType:         Magnitude Detected
        dataType:           Integer
        lineTimeOrdering:   Increasing
        pixelTimeOrdering:  Decreasing

    rasterAttributes

    • Groups: (0)
    • Dimensions:
    • Coordinates: (0)
    • Data variables: (5)
      • bitsPerSample
        ()
        int64
        16

        type :

        magnitude

        array(16)

      • sampledPixelSpacing
        ()
        float64
        20.0

        units :

        m

        array(20.)

      • sampledLineSpacing
        ()
        float64
        20.0

        units :

        m

        array(20.)

      • sampledPixelSpacingTime
        ()
        float64
        1.334e-07

        units :

        s

        array(1.33425638e-07)

      • sampledLineSpacingTime
        ()
        float64
        0.002895

        units :

        s

        array(0.00289519)

    • Attributes: (4)

      sampleType :

      Magnitude Detected

      dataType :

      Integer

      lineTimeOrdering :

      Increasing

      pixelTimeOrdering :

      Decreasing

    <xarray.DatasetView> Size: 0B
    Dimensions:  ()
    Data variables:
        *empty*

    geographicInformation

    • Groups: (3)
      <xarray.DatasetView> Size: 48B
      Dimensions:                (params: 3)
      Dimensions without coordinates: params
      Data variables:
          semiMajorAxis          float64 8B 6.378e+06
          semiMinorAxis          float64 8B 6.357e+06
          datumShiftParameters   (params) float64 24B 0.0 0.0 0.0
          geodeticTerrainHeight  float64 8B 229.9
      Attributes:
          ellipsoidName:  WGS 1984

      ellipsoidParameters

      • Groups: (0)
      • Dimensions:
        • params: 3
      • Coordinates: (0)
      • Data variables: (4)
        • semiMajorAxis
          ()
          float64
          6.378e+06

          units :

          m

          array(6378137.)

        • semiMinorAxis
          ()
          float64
          6.357e+06

          units :

          m

          array(6356752.31424518)

        • datumShiftParameters
          (params)
          float64
          0.0 0.0 0.0

          units :

          m

          array([0., 0., 0.])

        • geodeticTerrainHeight
          ()
          float64
          229.9

          units :

          m

          array(229.93099567)

      • Attributes: (1)

        ellipsoidName :

        WGS 1984

      <xarray.DatasetView> Size: 4kB
      Dimensions:    (line: 13, pixel: 13)
      Coordinates:
        * line       (line) float64 104B 0.0 1.594e+03 ... 1.753e+04 1.913e+04
        * pixel      (pixel) float64 104B 0.0 1.503e+03 ... 1.654e+04 1.804e+04
      Data variables:
          latitude   (line, pixel) float64 1kB 48.72 48.77 48.82 ... 45.78 45.82 45.86
          longitude  (line, pixel) float64 1kB -84.63 -85.03 -85.44 ... -89.82 -90.21
          height     (line, pixel) float64 1kB 229.9 229.9 229.9 ... 229.9 229.9 229.9
      Attributes:
          footprint:  POLYGON ((-84.63397773377159 48.71534850877886, -89.495130111...
          history:    annotations

      geolocationGrid

      • Groups: (0)
      • Dimensions:
        • line: 13
        • pixel: 13
      • Coordinates: (2)
        • line
          (line)
          float64
          0.0 1.594e+03 ... 1.913e+04

          array([    0.    ,  1593.8334,  3187.6667,  4781.5   ,  6375.3335,  7969.167 ,
                  9563.    , 11156.833 , 12750.666 , 14344.499 , 15938.332 , 17532.166 ,
                 19126.    ])

        • pixel
          (pixel)
          float64
          0.0 1.503e+03 ... 1.804e+04

          array([    0.    ,  1503.4166,  3006.8333,  4510.25  ,  6013.6665,  7517.083 ,
                  9020.5   , 10523.917 , 12027.334 , 13530.751 , 15034.168 , 16537.584 ,
                 18041.    ])

      • Data variables: (3)
        • latitude
          (line, pixel)
          float64
          48.72 48.77 48.82 ... 45.82 45.86

          units :

          deg

          array([[48.71534851, 48.76832408, 48.81990431, 48.87008388, 48.9188575 ,
                  48.96622008, 49.0121666 , 49.05669221, 49.09979216, 49.14146184,
                  49.18169682, 49.22049275, 49.25784541],
                 [48.43281212, 48.48568175, 48.53716957, 48.58727035, 48.6359789 ,
                  48.68329019, 48.72919932, 48.77370149, 48.81679205, 48.85846644,
                  48.89872032, 48.9375494 , 48.97494952],
                 [48.15022622, 48.20299289, 48.25439115, 48.30441584, 48.35306187,
                  48.4003243 , 48.44619829, 48.49067914, 48.53376227, 48.57544319,
                  48.61571763, 48.65458135, 48.69203027],
                 [47.86759144, 47.92025809, 47.97156956, 48.02152082, 48.07010684,
                  48.11732276, 48.16316384, 48.20762544, 48.25070306, 48.29239228,
                  48.3326889 , 48.37158874, 48.40908778],
                 [47.58490836, 47.63747783, 47.68870526, 47.73858567, 47.78711413,
                  47.83428587, 47.88009621, 47.92454059, 47.96761458, 48.00931384,
                  48.04963421, 48.08857161, 48.12612205],
                 [47.30217761, 47.35465272, 47.40579877, 47.45561087, 47.50408419,
                  47.551214  , 47.59699572, 47.64142487, 47.68449708, 47.72620807,
                  47.76655376, 47.80553012, 47.84313321],
                 [47.01939987, 47.07178337, 47.12285066, 47.17259694, 47.22101746,
                  47.26810757, 47.31386276, 47.35827862, 47.40135085, 47.44307524,
                  47.48344777, 47.52246445, 47.56012144],
                 [46.73657564, 46.78887021, 46.83986131, 46.88954421, 46.93791423,
                  46.98496681, 47.03069751, 47.07510199, 47.11817601, 47.15991542,
                  47.20031628, 47.23937464, 47.27708672],
                 [46.45370547, 46.50591375, 46.55683117, 46.60645308, 46.65477487,
                  46.70179205, 46.74750026, 46.79189521, 46.83497275, 46.87672879,
                  46.91715942, 46.95626079, 46.99402914],
                 [46.17078992, 46.2229145 , 46.2737607 , 46.32332395, 46.37159972,
                  46.41858359, 46.46427126, 46.50865852, 46.55174128, 46.5935155 ,
                  46.63397734, 46.673123  , 46.71094878],
                 [45.88782952, 45.93987293, 45.99065033, 46.04015721, 46.08838913,
                  46.13534173, 46.18101079, 46.22539215, 46.26848178, 46.31027571,
                  46.35077016, 46.38996138, 46.42784571],
                 [45.60482463, 45.65678935, 45.70750031, 45.75695308, 45.80514327,
                  45.85206661, 45.89771892, 45.94209613, 45.98519426, 46.02700941,
                  46.06753784, 46.10677585, 46.14471985],
                 [45.32177594, 45.37366438, 45.4243112 , 45.47371204, 45.52186258,
                  45.56875861, 45.61439602, 45.65877079, 45.70187902, 45.74371684,
                  45.78428058, 45.8235666 , 45.86157135]])

        • longitude
          (line, pixel)
          float64
          -84.63 -85.03 ... -89.82 -90.21

          units :

          deg

          array([[-84.63397773, -85.03485893, -85.43657252, -85.83909967,
                  -86.24242065, -86.64651572, -87.05136479, -87.45694747,
                  -87.86324307, -88.27023034, -88.67788853, -89.08619582,
                  -89.49513011],
                 [-84.72181616, -85.12049999, -85.52000188, -85.92030343,
                  -86.32138545, -86.72322865, -87.12581347, -87.52912005,
                  -87.93312821, -88.33781725, -88.74316696, -89.14915607,
                  -89.55576306],
                 [-84.80898835, -85.20550748, -85.60283064, -86.00093993,
                  -86.3998166 , -86.79944187, -87.19979668, -87.60086164,
                  -88.00261712, -88.40504292, -88.80811937, -89.21182575,
                  -89.61614106],
                 [-84.89550825, -85.28989472, -85.68507155, -86.08102127,
                  -86.47772559, -86.87516623, -87.27332458, -87.67218176,
                  -88.07171864, -88.47191552, -88.87275325, -89.27421163,
                  -89.67627021],
                 [-84.98138947, -85.37367476, -85.76673703, -86.16055926,
                  -86.55512363, -86.95041229, -87.34640711, -87.74308971,
                  -88.14044141, -88.53844303, -88.93707591, -89.33632037,
                  -89.73615646],
          ...
                 [-85.31878745, -85.70297133, -86.08788173, -86.47350326,
                  -86.85981979, -87.24681519, -87.6344731 , -88.02277689,
                  -88.41170973, -88.80125428, -89.19139374, -89.58211033,
                  -89.97338607],
                 [-85.40166741, -85.78389909, -86.16684537, -86.55049124,
                  -86.93482099, -87.31981887, -87.70546893, -88.09175498,
                  -88.47866058, -88.86616884, -89.2542634 , -89.64292693,
                  -90.03214187],
                 [-85.48398335, -85.86429106, -86.24530171, -86.62700068,
                  -87.00937263, -87.39240221, -87.77607387, -88.16037182,
                  -88.54528004, -88.93078206, -89.31686194, -89.70350278,
                  -90.09068748],
                 [-85.56574673, -85.9441582 , -86.32326121, -86.7030415 ,
                  -87.08348412, -87.4645741 , -87.84629628, -88.22863524,
                  -88.6115754 , -88.99510067, -89.37919553, -89.76384351,
                  -90.14902793],
                 [-85.6469686 , -86.02351092, -86.40073367, -86.77862293,
                  -87.1571641 , -87.53634258, -87.9161436 , -88.29655212,
                  -88.67755293, -89.05913037, -89.4412693 , -89.82395366,
                  -90.20716719]])

        • height
          (line, pixel)
          float64
          229.9 229.9 229.9 ... 229.9 229.9

          units :

          m

          array([[229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
          ...
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567],
                 [229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567, 229.93099567, 229.93099567, 229.93099567,
                  229.93099567]])

      • Attributes: (2)

        footprint :

        POLYGON ((-84.63397773377159 48.71534850877886, -89.49513011173734 49.25784540666172, -90.20716719088948 45.86157135154452, -85.64696859864004 45.32177593908131, -84.63397773377159 48.71534850877886))

        history :

        annotations

      <xarray.DatasetView> Size: 680B
      Dimensions:                       (coefficients: 20)
      Dimensions without coordinates: coefficients
      Data variables:
          biasError                     float64 8B 0.5
          randomError                   float64 8B 0.5
          latitudeOffset                float64 8B 47.29
          longitudeOffset               float64 8B -87.42
          heightOffset                  float64 8B 229.0
          lineNumeratorCoefficients     (coefficients) float64 160B 0.009342 ... 0.0
          lineDenominatorCoefficients   (coefficients) float64 160B 1.0 ... 0.0
          pixelNumeratorCoefficients    (coefficients) float64 160B 0.03373 ... -1....
          pixelDenominatorCoefficients  (coefficients) float64 160B 1.0 ... 5.209e-07
      Attributes:
          lineFitQuality:   0.00334060350484419
          pixelFitQuality:  0.07741306192873083
          lineOffset:       9562
          pixelOffset:      9021
          lineScale:        9564
          pixelScale:       9021
          latitudeScale:    1.9694
          longitudeScale:   2.7977
          heightScale:      601.0

      rationalFunctions

      • Groups: (0)
      • Dimensions:
        • coefficients: 20
      • Coordinates: (0)
      • Data variables: (9)
        • biasError
          ()
          float64
          0.5

          units :

          m

          array(0.5)

        • randomError
          ()
          float64
          0.5

          units :

          m

          array(0.5)

        • latitudeOffset
          ()
          float64
          47.29

          units :

          deg

          array(47.289)

        • longitudeOffset
          ()
          float64
          -87.42

          units :

          deg

          array(-87.4158)

        • heightOffset
          ()
          float64
          229.0

          units :

          m

          array(229.)

        • lineNumeratorCoefficients
          (coefficients)
          float64
          0.009342 -0.1851 ... -3.352e-07 0.0

          array([ 9.34170268e-03, -1.85068703e-01, -1.12574618e+00, -6.10144309e-06,
                  6.20882108e-03,  8.06590972e-08, -5.45868399e-08, -1.94295403e-02,
                 -6.43747058e-03,  2.00568473e-08,  1.63147366e-06, -2.60296220e-05,
                  8.23154596e-05, -1.30237621e-06, -4.14370442e-05, -2.42257289e-05,
                 -7.97568197e-06,  2.96987826e-07, -3.35202910e-07,  0.00000000e+00])

        • lineDenominatorCoefficients
          (coefficients)
          float64
          1.0 0.005121 0.004405 ... 0.0 0.0

          array([ 1.00000000e+00,  5.12053136e-03,  4.40524404e-03, -4.02297328e-08,
                  3.02428740e-05, -1.50312762e-06,  3.15315853e-07,  2.35759154e-05,
                  6.22136693e-06,  7.08118918e-06,  0.00000000e+00, -9.88062577e-07,
                 -1.08733801e-05,  3.67241164e-08,  3.95919196e-05,  6.95203246e-07,
                  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00])

        • pixelNumeratorCoefficients
          (coefficients)
          float64
          0.03373 1.155 ... -1.017e-06

          array([ 3.37294658e-02,  1.15513562e+00, -2.07308333e-01,  3.89731639e-03,
                 -1.31335411e-02,  8.55127854e-04, -6.68586537e-05, -2.21233716e-02,
                 -1.20625919e-03, -1.44350315e-05, -1.94326611e-04,  7.93410866e-05,
                 -8.59207559e-04, -4.37958576e-04,  4.97445616e-04,  6.45803713e-07,
                  7.86466731e-05,  6.73269299e-04,  1.06237140e-05, -1.01657727e-06])

        • pixelDenominatorCoefficients
          (coefficients)
          float64
          1.0 -0.01611 ... 5.209e-07

          array([ 1.00000000e+00, -1.61104443e-02,  2.18819967e-02, -8.60798873e-04,
                 -1.58733461e-04, -2.81496417e-04,  9.49380126e-05,  2.25363730e-04,
                  6.85153488e-04, -3.80327273e-04,  1.84158910e-04, -1.02652130e-06,
                 -2.31738906e-05, -1.88567979e-06,  1.76799266e-05,  2.88245746e-05,
                 -1.33907233e-05, -4.16793424e-04, -1.07843001e-05,  5.20908763e-07])

      • Attributes: (9)

        lineFitQuality :

        0.00334060350484419

        pixelFitQuality :

        0.07741306192873083

        lineOffset :

        9562

        pixelOffset :

        9021

        lineScale :

        9564

        pixelScale :

        9021

        latitudeScale :

        1.9694

        longitudeScale :

        2.7977

        heightScale :

        601.0

    • Dimensions:
    • Coordinates: (0)
    • Data variables: (0)
    • Attributes: (0)

  • Dimensions:
    • sarCalibrationType: 3
    • pole: 2
  • Coordinates: (2)
    • sarCalibrationType
      (sarCalibrationType)
      <U12
      'Beta Nought' ... 'Sigma Nought'

      array(['Beta Nought', 'Gamma', 'Sigma Nought'], dtype='<U12')

    • pole
      (pole)
      <U2
      'HH' 'HV'

      array(['HH', 'HV'], dtype='<U2')

  • Data variables: (2)
    • lookupTableFileName
      (sarCalibrationType, pole)
      <U15
      'lutBeta_HH.xml' ... 'lutSigma_H...

      array([['lutBeta_HH.xml', 'lutBeta_HV.xml'],
             ['lutGamma_HH.xml', 'lutGamma_HV.xml'],
             ['lutSigma_HH.xml', 'lutSigma_HV.xml']], dtype='<U15')

    • noiseLevelFileName
      (pole)
      <U18
      'noiseLevels_HH.xml' 'noiseLevel...

      array(['noiseLevels_HH.xml', 'noiseLevels_HV.xml'], dtype='<U18')

  • Attributes: (3)

    productFormat :

    GeoTIFF

    outputMediaInterleaving :

    BSQ

    incidenceAngleFileName :

    incidenceAngles.xml

  <xarray.DatasetView> Size: 296B
  Dimensions:             (pole: 2)
  Coordinates:
    * pole                (pole) <U2 16B 'HH' 'HV'
  Data variables:
      ipdf                (pole) <U27 216B '../imagery/1050605_1_HH.tif' '../im...
      incAngNearRng       float64 8B 26.87
      incAngFarRng        float64 8B 50.94
      slantRangeNearEdge  float64 8B 6.612e+05
      slantRangeFarEdge   float64 8B 8.913e+05
      mean                (pole) float64 16B 9.975e+03 3.564e+03
      sigma               (pole) float64 16B 6.879e+03 3.023e+03
  Attributes:
      pixelOffset:     0
      lineOffset:      0
      numLines:        19127
      samplesPerLine:  18042

  sceneAttributes

  • Groups: (0)
  • Dimensions:
    • pole: 2
  • Coordinates: (1)
    • pole
      (pole)
      <U2
      'HH' 'HV'

      array(['HH', 'HV'], dtype='<U2')

  • Data variables: (7)
    • ipdf
      (pole)
      <U27
      '../imagery/1050605_1_HH.tif' '....

      array(['../imagery/1050605_1_HH.tif', '../imagery/1050605_1_HV.tif'],
            dtype='<U27')

    • incAngNearRng
      ()
      float64
      26.87

      units :

      deg

      array(26.87371332)

    • incAngFarRng
      ()
      float64
      50.94

      units :

      deg

      array(50.94029276)

    • slantRangeNearEdge
      ()
      float64
      6.612e+05

      units :

      m

      array(661244.21865407)

    • slantRangeFarEdge
      ()
      float64
      8.913e+05

      units :

      m

      array(891305.35413327)

    • mean
      (pole)
      float64
      9.975e+03 3.564e+03

      array([9974.52832031, 3563.61157227])

    • sigma
      (pole)
      float64
      6.879e+03 3.023e+03

      array([6878.79248047, 3023.05566406])

  • Attributes: (4)

    pixelOffset :

    0

    lineOffset :

    0

    numLines :

    19127

    samplesPerLine :

    18042

  <xarray.DatasetView> Size: 205kB
  Dimensions:           (burst_maps: 1, burst: 776, beam: 8)
  Coordinates:
    * burst             (burst) int64 6kB 0 1 2 3 4 5 ... 770 771 772 773 774 775
    * beam              (beam) <U5 160B 'SC-10' 'SC-3' 'SC-4' ... 'SC-8' 'SC-9'
  Dimensions without coordinates: burst_maps
  Data variables:
      topLeftLine       (burst_maps, burst, beam) float64 50kB nan 11.0 ... nan
      topLeftPixel      (burst_maps, burst, beam) float64 50kB nan ... nan
      bottomRightLine   (burst_maps, burst, beam) float64 50kB nan 274.0 ... nan
      bottomRightPixel  (burst_maps, burst, beam) float64 50kB nan ... nan
  Attributes:
      numberOfEntries:  776
      numberOfBeams:    8

  grdBurstMap

  • Groups: (0)
  • Dimensions:
    • burst_maps: 1
    • burst: 776
    • beam: 8
  • Coordinates: (2)
    • burst
      (burst)
      int64
      0 1 2 3 4 5 ... 771 772 773 774 775

      array([  0,   1,   2, ..., 773, 774, 775])

    • beam
      (beam)
      <U5
      'SC-10' 'SC-3' ... 'SC-8' 'SC-9'

      array(['SC-10', 'SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9'],
            dtype='<U5')

  • Data variables: (4)
    • topLeftLine
      (burst_maps, burst, beam)
      float64
      nan 11.0 nan nan ... nan nan nan

      array([[[       nan, 1.1000e+01,        nan, ...,        nan,
                      nan,        nan],
              [       nan,        nan, 3.4000e+01, ...,        nan,
                      nan,        nan],
              [       nan,        nan,        nan, ...,        nan,
                      nan,        nan],
              ...,
              [       nan,        nan,        nan, ...,        nan,
               1.8769e+04,        nan],
              [       nan,        nan,        nan, ...,        nan,
                      nan, 1.8796e+04],
              [1.8823e+04,        nan,        nan, ...,        nan,
                      nan,        nan]]])

    • topLeftPixel
      (burst_maps, burst, beam)
      float64
      nan 1.566e+04 nan ... nan nan nan

      array([[[   nan, 15655.,    nan, ...,    nan,    nan,    nan],
              [   nan,    nan, 13430., ...,    nan,    nan,    nan],
              [   nan,    nan,    nan, ...,    nan,    nan,    nan],
              ...,
              [   nan,    nan,    nan, ...,    nan,  4627.,    nan],
              [   nan,    nan,    nan, ...,    nan,    nan,  2401.],
              [  112.,    nan,    nan, ...,    nan,    nan,    nan]]])

    • bottomRightLine
      (burst_maps, burst, beam)
      float64
      nan 274.0 nan nan ... nan nan nan

      array([[[   nan,   274.,    nan, ...,    nan,    nan,    nan],
              [   nan,    nan,   296., ...,    nan,    nan,    nan],
              [   nan,    nan,    nan, ...,    nan,    nan,    nan],
              ...,
              [   nan,    nan,    nan, ...,    nan, 19045.,    nan],
              [   nan,    nan,    nan, ...,    nan,    nan, 19099.],
              [19112.,    nan,    nan, ...,    nan,    nan,    nan]]])

    • bottomRightPixel
      (burst_maps, burst, beam)
      float64
      nan 1.794e+04 nan ... nan nan nan

      array([[[   nan, 17944.,    nan, ...,    nan,    nan,    nan],
              [   nan,    nan, 15662., ...,    nan,    nan,    nan],
              [   nan,    nan,    nan, ...,    nan,    nan,    nan],
              ...,
              [   nan,    nan,    nan, ...,    nan,  6861.,    nan],
              [   nan,    nan,    nan, ...,    nan,    nan,  4634.],
              [ 2408.,    nan,    nan, ...,    nan,    nan,    nan]]])

  • Attributes: (2)

    numberOfEntries :

    776

    numberOfBeams :

    8

  <xarray.DatasetView> Size: 133kB
  Dimensions:                        (burst_maps: 1, burst: 776, coefficients: 4)
  Coordinates:
    * burst                          (burst) int64 6kB 0 1 2 3 ... 772 773 774 775
  Dimensions without coordinates: burst_maps, coefficients
  Data variables:
      timeOfDopplerCentroidEstimate  (burst_maps, burst) <U27 84kB '2020-02-14T...
      dopplerAmbiguity               (burst_maps, burst) int64 6kB 0 0 0 ... 0 0 0
      dopplerCentroidReferenceTime   (burst_maps, burst) float64 6kB 0.004434 ....
      dopplerCentroidCoefficients    (burst_maps, burst, coefficients) float64 25kB ...
      dopplerCentroidConfidence      (burst_maps, burst) float64 6kB 0.9194 ......
  Attributes:
      numberOfEstimates:  776

  dopplerCentroid

  • Groups: (0)
  • Dimensions:
    • burst_maps: 1
    • burst: 776
    • coefficients: 4
  • Coordinates: (1)
    • burst
      (burst)
      int64
      0 1 2 3 4 5 ... 771 772 773 774 775

      array([  0,   1,   2, ..., 773, 774, 775])

  • Data variables: (5)
    • timeOfDopplerCentroidEstimate
      (burst_maps, burst)
      <U27
      '2020-02-14T11:59:05.878596Z' .....

      array([['2020-02-14T11:59:05.878596Z', '2020-02-14T11:59:05.941159Z',
              '2020-02-14T11:59:06.005965Z', '2020-02-14T11:59:06.073034Z',
              '2020-02-14T11:59:06.142742Z', '2020-02-14T11:59:06.215321Z',
              '2020-02-14T11:59:06.290712Z', '2020-02-14T11:59:06.369101Z',
              '2020-02-14T11:59:06.439174Z', '2020-02-14T11:59:06.501737Z',
              '2020-02-14T11:59:06.566544Z', '2020-02-14T11:59:06.633612Z',
              '2020-02-14T11:59:06.703321Z', '2020-02-14T11:59:06.775899Z',
              '2020-02-14T11:59:06.851290Z', '2020-02-14T11:59:06.929680Z',
              '2020-02-14T11:59:06.999753Z', '2020-02-14T11:59:07.062315Z',
              '2020-02-14T11:59:07.127122Z', '2020-02-14T11:59:07.194191Z',
              '2020-02-14T11:59:07.263899Z', '2020-02-14T11:59:07.336477Z',
              '2020-02-14T11:59:07.411869Z', '2020-02-14T11:59:07.490258Z',
              '2020-02-14T11:59:07.560331Z', '2020-02-14T11:59:07.622894Z',
              '2020-02-14T11:59:07.687700Z', '2020-02-14T11:59:07.754769Z',
              '2020-02-14T11:59:07.824478Z', '2020-02-14T11:59:07.897056Z',
              '2020-02-14T11:59:07.972447Z', '2020-02-14T11:59:08.050837Z',
              '2020-02-14T11:59:08.120909Z', '2020-02-14T11:59:08.183472Z',
              '2020-02-14T11:59:08.248279Z', '2020-02-14T11:59:08.315348Z',
              '2020-02-14T11:59:08.385056Z', '2020-02-14T11:59:08.457634Z',
              '2020-02-14T11:59:08.533026Z', '2020-02-14T11:59:08.611415Z',
      ...
              '2020-02-14T11:59:57.556374Z', '2020-02-14T11:59:57.623369Z',
              '2020-02-14T11:59:57.693001Z', '2020-02-14T11:59:57.765502Z',
              '2020-02-14T11:59:57.840814Z', '2020-02-14T11:59:57.919121Z',
              '2020-02-14T11:59:57.989120Z', '2020-02-14T11:59:58.051615Z',
              '2020-02-14T11:59:58.116350Z', '2020-02-14T11:59:58.183346Z',
              '2020-02-14T11:59:58.252977Z', '2020-02-14T11:59:58.325479Z',
              '2020-02-14T11:59:58.400790Z', '2020-02-14T11:59:58.479098Z',
              '2020-02-14T11:59:58.549097Z', '2020-02-14T11:59:58.611592Z',
              '2020-02-14T11:59:58.676327Z', '2020-02-14T11:59:58.743322Z',
              '2020-02-14T11:59:58.812954Z', '2020-02-14T11:59:58.885455Z',
              '2020-02-14T11:59:58.960767Z', '2020-02-14T11:59:59.039074Z',
              '2020-02-14T11:59:59.109073Z', '2020-02-14T11:59:59.171568Z',
              '2020-02-14T11:59:59.236303Z', '2020-02-14T11:59:59.303298Z',
              '2020-02-14T11:59:59.372930Z', '2020-02-14T11:59:59.445431Z',
              '2020-02-14T11:59:59.520743Z', '2020-02-14T11:59:59.599051Z',
              '2020-02-14T11:59:59.669050Z', '2020-02-14T11:59:59.731544Z',
              '2020-02-14T11:59:59.796280Z', '2020-02-14T11:59:59.863275Z',
              '2020-02-14T11:59:59.932906Z', '2020-02-14T12:00:00.005408Z',
              '2020-02-14T12:00:00.080720Z', '2020-02-14T12:00:00.159027Z']],
            dtype='<U27')

    • dopplerAmbiguity
      (burst_maps, burst)
      int64
      0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0

      array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
              0, 0, 0, 0, 0, 0]])

    • dopplerCentroidReferenceTime
      (burst_maps, burst)
      float64
      0.004434 0.004579 ... 0.005726

      units :

      s

      array([[0.00443406, 0.0045792 , 0.00474019, 0.00491579, 0.00510377,
              0.00530377, 0.00551404, 0.00573308, 0.00443406, 0.0045792 ,
              0.00474019, 0.00491579, 0.00510377, 0.00530377, 0.00551404,
              0.00573308, 0.00443406, 0.0045792 , 0.00474019, 0.00491579,
              0.00510377, 0.00530377, 0.00551404, 0.00573308, 0.00443406,
              0.0045792 , 0.00474019, 0.00491579, 0.00510377, 0.00530377,
              0.00551404, 0.00573308, 0.00443406, 0.0045792 , 0.00474019,
              0.00491579, 0.00510377, 0.00530377, 0.00551404, 0.00573308,
              0.00443406, 0.0045792 , 0.00474019, 0.00491579, 0.00510377,
              0.00530377, 0.00551404, 0.00573308, 0.00443406, 0.0045792 ,
              0.00474019, 0.00491579, 0.00510377, 0.00530377, 0.00551404,
              0.00573308, 0.00443406, 0.0045792 , 0.00474019, 0.00491579,
              0.00510377, 0.00530377, 0.00551404, 0.00573308, 0.00443406,
              0.0045792 , 0.00474019, 0.00491579, 0.00510377, 0.00530377,
              0.00551404, 0.00573308, 0.00443406, 0.0045792 , 0.00474019,
              0.00491579, 0.00510377, 0.00530377, 0.00551404, 0.00573308,
              0.00443406, 0.0045792 , 0.00474019, 0.00491579, 0.00510377,
              0.00530377, 0.00551404, 0.00573308, 0.00443406, 0.0045792 ,
              0.00474019, 0.00491579, 0.00510377, 0.00530284, 0.00551301,
              0.00573206, 0.00443324, 0.00457838, 0.00473927, 0.00491487,
      ...
              0.00442826, 0.0045734 , 0.00473419, 0.00490939, 0.00509717,
              0.00529697, 0.00550704, 0.00572568, 0.00442826, 0.0045734 ,
              0.00473419, 0.00490939, 0.00509717, 0.00529697, 0.00550704,
              0.00572568, 0.00442826, 0.0045734 , 0.00473419, 0.00490939,
              0.00509717, 0.00529697, 0.00550704, 0.00572568, 0.00442826,
              0.0045734 , 0.00473419, 0.00490939, 0.00509717, 0.00529697,
              0.00550704, 0.00572568, 0.00442826, 0.0045734 , 0.00473419,
              0.00490939, 0.00509717, 0.00529697, 0.00550704, 0.00572568,
              0.00442826, 0.0045734 , 0.00473419, 0.00490939, 0.00509717,
              0.00529697, 0.00550704, 0.00572568, 0.00442826, 0.0045734 ,
              0.00473419, 0.00490939, 0.00509717, 0.00529697, 0.00550704,
              0.00572568, 0.00442826, 0.0045734 , 0.00473419, 0.00490939,
              0.00509717, 0.00529697, 0.00550704, 0.00572568, 0.00442826,
              0.0045734 , 0.00473419, 0.00490939, 0.00509717, 0.00529697,
              0.00550704, 0.00572568, 0.00442826, 0.0045734 , 0.00473419,
              0.00490939, 0.00509717, 0.00529697, 0.00550704, 0.00572568,
              0.00442826, 0.0045734 , 0.00473419, 0.00490939, 0.00509717,
              0.00529697, 0.00550704, 0.00572568, 0.00442826, 0.0045734 ,
              0.00473419, 0.00490939, 0.00509717, 0.00529697, 0.00550704,
              0.00572568]])

    • dopplerCentroidCoefficients
      (burst_maps, burst, coefficients)
      float64
      -115.8 -1.217e+05 ... -6.922e+09

      array([[[-1.15846091e+02, -1.21655624e+05,  9.50728602e+07,
               -7.68131828e+10],
              [-1.11244531e+02, -3.37617034e+04,  2.60965570e+07,
               -1.79139903e+10],
              [-1.10297096e+02,  2.57329403e+04, -7.08421037e+06,
                2.14627123e+09],
              ...,
              [-9.25936538e+01,  1.13153129e+05, -3.49585985e+07,
                1.06149430e+10],
              [-7.22128833e+01, -7.29952970e+04,  2.26658618e+07,
               -6.62808411e+09],
              [-6.70541456e+01, -9.45544348e+04,  2.65331108e+07,
               -6.92207992e+09]]])

    • dopplerCentroidConfidence
      (burst_maps, burst)
      float64
      0.9194 0.9024 ... 0.9058 0.8719

      array([[0.91943437, 0.90240347, 0.91319323, 0.90607947, 0.91211849,
              0.88851607, 0.91132945, 0.87252313, 0.86517894, 0.84135336,
              0.85343832, 0.84145999, 0.85041243, 0.81127751, 0.85433996,
              0.79415482, 0.86517894, 0.84135336, 0.85343832, 0.84145999,
              0.85041243, 0.81127751, 0.85433996, 0.79415482, 0.86517894,
              0.84135336, 0.85343832, 0.84145999, 0.85041243, 0.81127751,
              0.85433996, 0.79415482, 0.86517894, 0.84135336, 0.85343832,
              0.84145999, 0.85041243, 0.81127751, 0.85433996, 0.79415482,
              0.86517894, 0.84135336, 0.85343832, 0.84145999, 0.85041243,
              0.81127751, 0.85433996, 0.79415482, 0.86517894, 0.84135336,
              0.85343832, 0.84145999, 0.85041243, 0.81127751, 0.85433996,
              0.79415482, 0.86517894, 0.84135336, 0.85343832, 0.84145999,
              0.85041243, 0.81127751, 0.85433996, 0.79415482, 0.86517894,
              0.84135336, 0.85343832, 0.84145999, 0.85041243, 0.81127751,
              0.85433996, 0.79415482, 0.86517894, 0.84135336, 0.85343832,
              0.84145999, 0.85041243, 0.81127751, 0.85433996, 0.79415482,
              0.86517894, 0.84135336, 0.85343832, 0.84145999, 0.85041243,
              0.81127751, 0.85433996, 0.79415482, 0.8651402 , 0.84336436,
              0.85488534, 0.84276432, 0.8532235 , 0.78267181, 0.85452712,
              0.79772073, 0.86256206, 0.84108722, 0.85554105, 0.83041793,
      ...
              0.85408765, 0.85039192, 0.86364961, 0.85312957, 0.86396831,
              0.82329369, 0.84822226, 0.82566583, 0.83839625, 0.85144204,
              0.86724627, 0.85007358, 0.86618584, 0.82272834, 0.85789758,
              0.82313895, 0.84370238, 0.85497689, 0.86757767, 0.85269743,
              0.8631689 , 0.81613314, 0.85770303, 0.81378329, 0.8604911 ,
              0.85634673, 0.86747861, 0.86092389, 0.86026198, 0.81639498,
              0.85237098, 0.81369096, 0.83574498, 0.8562153 , 0.87138528,
              0.8632797 , 0.86288023, 0.82592934, 0.8557471 , 0.82057756,
              0.81373024, 0.84203869, 0.87175888, 0.86215395, 0.86222005,
              0.83140004, 0.85657948, 0.82455188, 0.84198791, 0.80867952,
              0.87012118, 0.85975724, 0.85751688, 0.82662129, 0.85558957,
              0.81926048, 0.86666608, 0.80411774, 0.86941314, 0.85473907,
              0.85984886, 0.82358229, 0.85123849, 0.81486213, 0.87202793,
              0.82597536, 0.86818337, 0.85660076, 0.86621785, 0.81653589,
              0.83836633, 0.80784112, 0.87270957, 0.83828896, 0.8686493 ,
              0.86131215, 0.86511981, 0.81195182, 0.82930273, 0.79621059,
              0.870408  , 0.84605652, 0.86274505, 0.86136776, 0.8581602 ,
              0.81362647, 0.83492255, 0.79079854, 0.9225108 , 0.9097333 ,
              0.9148221 , 0.9174872 , 0.91404605, 0.88647503, 0.90583885,
              0.87187672]])

  • Attributes: (1)

    numberOfEstimates :

    776

  <xarray.DatasetView> Size: 127kB
  Dimensions:                    (burst_maps: 1, burst: 776, coefficients: 5)
  Coordinates:
    * burst                      (burst) int64 6kB 0 1 2 3 4 ... 772 773 774 775
  Dimensions without coordinates: burst_maps, coefficients
  Data variables:
      timeOfDopplerRateEstimate  (burst_maps, burst) <U27 84kB '2020-02-14T11:5...
      dopplerRateReferenceTime   (burst_maps, burst) float64 6kB 0.004417 ... 0...
      dopplerRateCoefficients    (burst_maps, burst, coefficients) float64 31kB ...
  Attributes:
      numberOfEstimates:  776

  dopplerRate

  • Groups: (0)
  • Dimensions:
    • burst_maps: 1
    • burst: 776
    • coefficients: 5
  • Coordinates: (1)
    • burst
      (burst)
      int64
      0 1 2 3 4 5 ... 771 772 773 774 775

      array([  0,   1,   2, ..., 773, 774, 775])

  • Data variables: (3)
    • timeOfDopplerRateEstimate
      (burst_maps, burst)
      <U27
      '2020-02-14T11:59:05.878596Z' .....

      array([['2020-02-14T11:59:05.878596Z', '2020-02-14T11:59:05.941159Z',
              '2020-02-14T11:59:06.005965Z', '2020-02-14T11:59:06.073034Z',
              '2020-02-14T11:59:06.142742Z', '2020-02-14T11:59:06.215321Z',
              '2020-02-14T11:59:06.290712Z', '2020-02-14T11:59:06.369101Z',
              '2020-02-14T11:59:06.439174Z', '2020-02-14T11:59:06.501737Z',
              '2020-02-14T11:59:06.566544Z', '2020-02-14T11:59:06.633612Z',
              '2020-02-14T11:59:06.703321Z', '2020-02-14T11:59:06.775899Z',
              '2020-02-14T11:59:06.851290Z', '2020-02-14T11:59:06.929680Z',
              '2020-02-14T11:59:06.999753Z', '2020-02-14T11:59:07.062315Z',
              '2020-02-14T11:59:07.127122Z', '2020-02-14T11:59:07.194191Z',
              '2020-02-14T11:59:07.263899Z', '2020-02-14T11:59:07.336477Z',
              '2020-02-14T11:59:07.411869Z', '2020-02-14T11:59:07.490258Z',
              '2020-02-14T11:59:07.560331Z', '2020-02-14T11:59:07.622894Z',
              '2020-02-14T11:59:07.687700Z', '2020-02-14T11:59:07.754769Z',
              '2020-02-14T11:59:07.824478Z', '2020-02-14T11:59:07.897056Z',
              '2020-02-14T11:59:07.972447Z', '2020-02-14T11:59:08.050837Z',
              '2020-02-14T11:59:08.120909Z', '2020-02-14T11:59:08.183472Z',
              '2020-02-14T11:59:08.248279Z', '2020-02-14T11:59:08.315348Z',
              '2020-02-14T11:59:08.385056Z', '2020-02-14T11:59:08.457634Z',
              '2020-02-14T11:59:08.533026Z', '2020-02-14T11:59:08.611415Z',
      ...
              '2020-02-14T11:59:57.556374Z', '2020-02-14T11:59:57.623369Z',
              '2020-02-14T11:59:57.693001Z', '2020-02-14T11:59:57.765502Z',
              '2020-02-14T11:59:57.840814Z', '2020-02-14T11:59:57.919121Z',
              '2020-02-14T11:59:57.989120Z', '2020-02-14T11:59:58.051615Z',
              '2020-02-14T11:59:58.116350Z', '2020-02-14T11:59:58.183346Z',
              '2020-02-14T11:59:58.252977Z', '2020-02-14T11:59:58.325479Z',
              '2020-02-14T11:59:58.400790Z', '2020-02-14T11:59:58.479098Z',
              '2020-02-14T11:59:58.549097Z', '2020-02-14T11:59:58.611592Z',
              '2020-02-14T11:59:58.676327Z', '2020-02-14T11:59:58.743322Z',
              '2020-02-14T11:59:58.812954Z', '2020-02-14T11:59:58.885455Z',
              '2020-02-14T11:59:58.960767Z', '2020-02-14T11:59:59.039074Z',
              '2020-02-14T11:59:59.109073Z', '2020-02-14T11:59:59.171568Z',
              '2020-02-14T11:59:59.236303Z', '2020-02-14T11:59:59.303298Z',
              '2020-02-14T11:59:59.372930Z', '2020-02-14T11:59:59.445431Z',
              '2020-02-14T11:59:59.520743Z', '2020-02-14T11:59:59.599051Z',
              '2020-02-14T11:59:59.669050Z', '2020-02-14T11:59:59.731544Z',
              '2020-02-14T11:59:59.796280Z', '2020-02-14T11:59:59.863275Z',
              '2020-02-14T11:59:59.932906Z', '2020-02-14T12:00:00.005408Z',
              '2020-02-14T12:00:00.080720Z', '2020-02-14T12:00:00.159027Z']],
            dtype='<U27')

    • dopplerRateReferenceTime
      (burst_maps, burst)
      float64
      0.004417 0.00456 ... 0.005699

      units :

      s

      array([[0.00441722, 0.00456038, 0.00471956, 0.00489355, 0.00508048,
              0.00527901, 0.00548796, 0.00570624, 0.00441722, 0.00456038,
              0.00471956, 0.00489355, 0.00508048, 0.00527901, 0.00548796,
              0.00570624, 0.00441722, 0.00456038, 0.00471956, 0.00489355,
              0.00508048, 0.00527901, 0.00548796, 0.00570624, 0.00441722,
              0.00456038, 0.00471956, 0.00489355, 0.00508048, 0.00527901,
              0.00548796, 0.00570624, 0.00441722, 0.00456038, 0.00471956,
              0.00489355, 0.00508048, 0.00527901, 0.00548796, 0.00570624,
              0.00441722, 0.00456038, 0.00471956, 0.00489355, 0.00508048,
              0.00527901, 0.00548796, 0.00570624, 0.00441722, 0.00456038,
              0.00471956, 0.00489355, 0.00508048, 0.00527901, 0.00548796,
              0.00570624, 0.00441722, 0.00456038, 0.00471956, 0.00489355,
              0.00508048, 0.00527901, 0.00548796, 0.00570624, 0.00441722,
              0.00456038, 0.00471956, 0.00489355, 0.00508048, 0.00527901,
              0.00548796, 0.00570624, 0.00441722, 0.00456038, 0.00471956,
              0.00489355, 0.00508048, 0.00527901, 0.00548796, 0.00570624,
              0.00441722, 0.00456038, 0.00471956, 0.00489355, 0.00508048,
              0.00527901, 0.00548796, 0.00570624, 0.00441722, 0.00456038,
              0.00471956, 0.00489355, 0.00508048, 0.00527901, 0.00548796,
              0.00570624, 0.00441722, 0.00456038, 0.00471956, 0.00489355,
      ...
              0.00441135, 0.00455465, 0.00471356, 0.00488728, 0.0050738 ,
              0.00527221, 0.00548102, 0.00569877, 0.00441135, 0.00455465,
              0.00471356, 0.00488728, 0.0050738 , 0.00527221, 0.00548102,
              0.00569877, 0.00441135, 0.00455465, 0.00471356, 0.00488728,
              0.0050738 , 0.00527221, 0.00548102, 0.00569877, 0.00441135,
              0.00455465, 0.00471356, 0.00488728, 0.0050738 , 0.00527221,
              0.00548102, 0.00569877, 0.00441135, 0.00455465, 0.00471356,
              0.00488728, 0.0050738 , 0.00527221, 0.00548102, 0.00569877,
              0.00441135, 0.00455465, 0.00471356, 0.00488728, 0.0050738 ,
              0.00527221, 0.00548102, 0.00569877, 0.00441135, 0.00455465,
              0.00471356, 0.00488728, 0.0050738 , 0.00527221, 0.00548102,
              0.00569877, 0.00441135, 0.00455465, 0.00471356, 0.00488728,
              0.0050738 , 0.00527221, 0.00548102, 0.00569877, 0.00441135,
              0.00455465, 0.00471356, 0.00488728, 0.0050738 , 0.00527221,
              0.00548102, 0.00569877, 0.00441135, 0.00455465, 0.00471356,
              0.00488728, 0.0050738 , 0.00527221, 0.00548102, 0.00569877,
              0.00441135, 0.00455465, 0.00471356, 0.00488728, 0.0050738 ,
              0.00527221, 0.00548102, 0.00569877, 0.00441135, 0.00455465,
              0.00471356, 0.00488728, 0.0050738 , 0.00527221, 0.00548102,
              0.00569877]])

    • dopplerRateCoefficients
      (burst_maps, burst, coefficients)
      float64
      -2.893e+03 6.764e+05 ... -2.047e+12

      array([[[-2.89324661e+03,  6.76360020e+05, -1.59625036e+08,
                4.40828162e+10, -1.59565926e+13],
              [-2.79956608e+03,  6.33177097e+05, -1.42609427e+08,
                3.50473505e+10, -9.63895974e+12],
              [-2.70225921e+03,  5.90284932e+05, -1.27313313e+08,
                2.89307471e+10, -6.71840373e+12],
              ...,
              [-2.41246486e+03,  4.71851427e+05, -8.98571193e+07,
                1.73977735e+10, -3.13356188e+12],
              [-2.31770517e+03,  4.36486510e+05, -7.97695164e+07,
                1.47727710e+10, -2.52342311e+12],
              [-2.22629815e+03,  4.03743770e+05, -7.08296359e+07,
                1.25678361e+10, -2.04699498e+12]]])

  • Attributes: (1)

    numberOfEstimates :

    776

  <xarray.DatasetView> Size: 0B
  Dimensions:  ()
  Data variables:
      *empty*

  lookupTables

  • Groups: (3)
    <xarray.DatasetView> Size: 13kB
    Dimensions:  (pixel: 786)
    Coordinates:
      * pixel    (pixel) int64 6kB -14 9 32 55 78 ... 17949 17972 17995 18018 18041
    Data variables:
        angles   (pixel) float64 6kB 26.87 26.91 26.95 26.99 ... 50.91 50.93 50.95
    Attributes:
        pixelFirstAnglesValue:  18041
        stepSize:               -23
        numberOfValues:         786

    incidenceAngles

    • Groups: (0)
    • Dimensions:
      • pixel: 786
    • Coordinates: (1)
      • pixel
        (pixel)
        int64
        -14 9 32 55 ... 17995 18018 18041

        array([  -14,     9,    32, ..., 17995, 18018, 18041])

    • Data variables: (1)
      • angles
        (pixel)
        float64
        26.87 26.91 26.95 ... 50.93 50.95

        units :

        deg

        array([26.87371332, 26.91337928, 26.95302158, 26.99264021, 27.03223515,
               27.07180641, 27.11135395, 27.15087779, 27.1903779 , 27.22985429,
               27.26930693, 27.30873583, 27.34814096, 27.38752233, 27.42687993,
               27.46621373, 27.50552375, 27.54480996, 27.58407236, 27.62331095,
               27.6625257 , 27.70171662, 27.7408837 , 27.78002692, 27.81914629,
               27.85824179, 27.89731341, 27.93636115, 27.975385  , 28.01438495,
               28.05336099, 28.09231312, 28.13124133, 28.17014562, 28.20902597,
               28.24788238, 28.28671484, 28.32552334, 28.36430788, 28.40306846,
               28.44180506, 28.48051768, 28.51920631, 28.55787095, 28.59651158,
               28.63512821, 28.67372083, 28.71228943, 28.75083401, 28.78935455,
               28.82785106, 28.86632353, 28.90477195, 28.94319632, 28.98159663,
               29.01997288, 29.05832507, 29.09665318, 29.13495721, 29.17323716,
               29.21149302, 29.24972478, 29.28793246, 29.32611602, 29.36427549,
               29.40241084, 29.44052208, 29.4786092 , 29.51667219, 29.55471106,
               29.5927258 , 29.6307164 , 29.66868286, 29.70662518, 29.74454335,
               29.78243737, 29.82030724, 29.85815295, 29.8959745 , 29.93377188,
               29.9715451 , 30.00929415, 30.04701903, 30.08471973, 30.12239625,
               30.16004858, 30.19767674, 30.2352807 , 30.27286048, 30.31041606,
               30.34794745, 30.38545464, 30.42293763, 30.46039642, 30.49783101,
               30.53524139, 30.57262756, 30.60998953, 30.64732728, 30.68464082,
        ...
               48.71689308, 48.74126538, 48.76561973, 48.78995613, 48.8142746 ,
               48.83857516, 48.86285781, 48.88712259, 48.91136949, 48.93559854,
               48.95980975, 48.98400313, 49.00817871, 49.03233649, 49.05647649,
               49.08059873, 49.10470321, 49.12878996, 49.152859  , 49.17691032,
               49.20094396, 49.22495992, 49.24895823, 49.27293888, 49.29690191,
               49.32084732, 49.34477513, 49.36868536, 49.39257802, 49.41645312,
               49.44031068, 49.46415071, 49.48797323, 49.51177826, 49.53556581,
               49.55933589, 49.58308852, 49.60682371, 49.63054148, 49.65424184,
               49.67792482, 49.70159041, 49.72523864, 49.74886953, 49.77248308,
               49.79607932, 49.81965826, 49.8432199 , 49.86676427, 49.89029139,
               49.91380126, 49.9372939 , 49.96076933, 49.98422756, 50.00766861,
               50.03109249, 50.05449921, 50.07788879, 50.10126125, 50.1246166 ,
               50.14795485, 50.17127603, 50.19458013, 50.21786719, 50.24113721,
               50.26439021, 50.2876262 , 50.3108452 , 50.33404722, 50.35723228,
               50.38040039, 50.40355157, 50.42668583, 50.44980318, 50.47290365,
               50.49598725, 50.51905398, 50.54210387, 50.56513693, 50.58815317,
               50.61115261, 50.63413527, 50.65710115, 50.68005028, 50.70298267,
               50.72589833, 50.74879727, 50.77167952, 50.79454508, 50.81739398,
               50.84022622, 50.86304182, 50.88584079, 50.90862316, 50.93138893,
               50.9541414 ])

    • Attributes: (3)

      pixelFirstAnglesValue :

      18041

      stepSize :

      -23

      numberOfValues :

      786

    <xarray.DatasetView> Size: 44kB
    Dimensions:             (sarCalibrationType: 3, pole: 2, pixel: 786)
    Coordinates:
      * sarCalibrationType  (sarCalibrationType) <U12 144B 'Beta Nought' ... 'Sig...
      * pole                (pole) <U2 16B 'HH' 'HV'
      * pixel               (pixel) int64 6kB -14 9 32 55 ... 17995 18018 18041
    Data variables:
        lookup_tables       (pixel, sarCalibrationType, pole) float64 38kB 2.731e...

    lookupTables

    • Groups: (0)
    • Dimensions:
      • sarCalibrationType: 3
      • pole: 2
      • pixel: 786
    • Coordinates: (3)
      • sarCalibrationType
        (sarCalibrationType)
        <U12
        'Beta Nought' ... 'Sigma Nought'

        array(['Beta Nought', 'Gamma', 'Sigma Nought'], dtype='<U12')

      • pole
        (pole)
        <U2
        'HH' 'HV'

        array(['HH', 'HV'], dtype='<U2')

      • pixel
        (pixel)
        int64
        -14 9 32 55 ... 17995 18018 18041

        array([  -14,     9,    32, ..., 17995, 18018, 18041])

    • Data variables: (1)
      • lookup_tables
        (pixel, sarCalibrationType, pole)
        float64
        2.731e+09 2.731e+09 ... 5.693e+08

        pixelFirstLutValue :

        18041

        stepSize :

        -23

        numberOfValues :

        786

        offset :

        0.0

        array([[[2.73082741e+09, 2.73082741e+09],
                [2.21500277e+09, 2.21500277e+09],
                [3.51619892e+09, 3.51619892e+09]],
        
               [[2.72612253e+09, 2.72612253e+09],
                [2.21298095e+09, 2.21298095e+09],
                [3.51127167e+09, 3.51127167e+09]],
        
               [[2.72142141e+09, 2.72142141e+09],
                [2.21095918e+09, 2.21095918e+09],
                [3.50634781e+09, 3.50634781e+09]],
        
               ...,
        
               [[2.59798046e+08, 2.59798046e+08],
                [5.10917558e+08, 5.10917558e+08],
                [5.73176915e+08, 5.73176915e+08]],
        
               [[2.58573945e+08, 2.58573945e+08],
                [5.09382251e+08, 5.09382251e+08],
                [5.71253676e+08, 5.71253676e+08]],
        
               [[2.57354887e+08, 2.57354887e+08],
                [5.07851527e+08, 5.07851527e+08],
                [5.69337080e+08, 5.69337080e+08]]])

    • Attributes: (0)

    <xarray.DatasetView> Size: 0B
    Dimensions:  ()
    Data variables:
        *empty*

    noiseLevels

    • Groups: (3)
      <xarray.DatasetView> Size: 44kB
      Dimensions:               (pole: 2, sarCalibrationType: 3, pixel: 786)
      Coordinates:
        * sarCalibrationType    (sarCalibrationType) <U12 144B 'Beta Nought' ... 'S...
          pixelFirstNoiseValue  int64 8B 18041
          stepSize              int64 8B -23
        * pole                  (pole) <U2 16B 'HH' 'HV'
        * pixel                 (pixel) int64 6kB -14 9 32 55 ... 17995 18018 18041
      Data variables:
          noiseLevelValues      (pole, sarCalibrationType, pixel) float64 38kB -33....
      Attributes:
          numberOfValues:  786

      referenceNoiseLevel

      • Groups: (0)
      • Dimensions:
        • pole: 2
        • sarCalibrationType: 3
        • pixel: 786
      • Coordinates: (5)
        • sarCalibrationType
          (sarCalibrationType)
          <U12
          'Beta Nought' ... 'Sigma Nought'

          array(['Beta Nought', 'Gamma', 'Sigma Nought'], dtype='<U12')

        • pixelFirstNoiseValue
          ()
          int64
          18041

          array(18041)

        • stepSize
          ()
          int64
          -23

          array(-23)

        • pole
          (pole)
          <U2
          'HH' 'HV'

          array(['HH', 'HV'], dtype='<U2')

        • pixel
          (pixel)
          int64
          -14 9 32 55 ... 17995 18018 18041

          array([  -14,     9,    32, ..., 17995, 18018, 18041])

      • Data variables: (1)
        • noiseLevelValues
          (pole, sarCalibrationType, pixel)
          float64
          -33.18 -33.25 ... -33.86 -33.6

          units :

          dB

          array([[[-33.18246722, -33.25351197, -33.32550201, ..., -30.89473432,
                   -30.61496587, -30.3483882 ],
                  [-32.27326558, -32.34783499, -32.42335129, ..., -33.8318838 ,
                   -33.55955633, -33.30043163],
                  [-34.28025818, -34.35270257, -34.42609398, ..., -34.33126243,
                   -34.05740833, -33.7967587 ]],
          
                 [[-32.91420891, -32.9848524 , -33.05643046, ..., -30.69766432,
                   -30.41789288, -30.15131232],
                  [-32.00500727, -32.07917543, -32.15427974, ..., -33.6348138 ,
                   -33.36248334, -33.10335575],
                  [-34.01199987, -34.084043  , -34.15702243, ..., -34.13419243,
                   -33.86033534, -33.59968282]]])

      • Attributes: (1)

        numberOfValues :

        786

      <xarray.DatasetView> Size: 306kB
      Dimensions:               (pole: 2, beam: 8, sarCalibrationType: 3,
                                 coefficients: 797)
      Coordinates:
        * beam                  (beam) object 64B 'SC-10' 'SC-3' ... 'SC-8' 'SC-9'
        * sarCalibrationType    (sarCalibrationType) object 24B 'Beta Nought' ... '...
          pixelFirstNoiseValue  (beam) int64 64B 2408 18041 15757 ... 9088 6861 4634
          stepSize              (beam) int64 64B -4 -3 -3 -3 -3 -3 -3 -3
        * pole                  (pole) <U2 16B 'HH' 'HV'
      Dimensions without coordinates: coefficients
      Data variables:
          noiseLevelValues      (pole, beam, sarCalibrationType, coefficients) float64 306kB ...

      perBeamReferenceNoiseLevel

      • Groups: (0)
      • Dimensions:
        • pole: 2
        • beam: 8
        • sarCalibrationType: 3
        • coefficients: 797
      • Coordinates: (5)
        • beam
          (beam)
          object
          'SC-10' 'SC-3' ... 'SC-8' 'SC-9'

          array(['SC-10', 'SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9'],
                dtype=object)

        • sarCalibrationType
          (sarCalibrationType)
          object
          'Beta Nought' ... 'Sigma Nought'

          array(['Beta Nought', 'Gamma', 'Sigma Nought'], dtype=object)

        • pixelFirstNoiseValue
          (beam)
          int64
          2408 18041 15757 ... 9088 6861 4634

          array([ 2408, 18041, 15757, 13533, 11310,  9088,  6861,  4634])

        • stepSize
          (beam)
          int64
          -4 -3 -3 -3 -3 -3 -3 -3

          array([-4, -3, -3, -3, -3, -3, -3, -3])

        • pole
          (pole)
          <U2
          'HH' 'HV'

          array(['HH', 'HV'], dtype='<U2')

      • Data variables: (1)
        • noiseLevelValues
          (pole, beam, sarCalibrationType, coefficients)
          float64
          -31.46 -31.49 -31.52 ... nan nan

          units :

          dB

          array([[[[-31.46339334, -31.49003467, -31.51684044, ...,          nan,
                             nan,          nan],
                   [-30.93686837, -30.96285726, -30.98901066, ...,          nan,
                             nan,          nan],
                   [-32.72120045, -32.74755494, -32.77407395, ...,          nan,
                             nan,          nan]],
          
                  [[-30.3483882 , -30.38224518, -30.41636818, ..., -31.8303057 ,
                    -31.81202785, -31.79380117],
                   [-33.30043163, -33.3333158 , -33.3664662 , ..., -34.06755318,
                    -34.04844026, -34.0293786 ],
                   [-33.7967587 , -33.82984168, -33.86319092, ..., -34.7302976 ,
                    -34.71140435, -34.69256239]],
          
                  [[-30.06133478, -30.09067221, -30.12020916, ...,          nan,
                             nan,          nan],
                   [-32.32594267, -32.35444018, -32.38313738, ...,          nan,
                             nan,          nan],
                   [-32.98152388, -33.0102403 , -33.03915643, ...,          nan,
                             nan,          nan]],
          ...
                  [[-29.63826662, -29.66844506, -29.69883467, ...,          nan,
                             nan,          nan],
                   [-30.32265223, -30.35222102, -30.38200105, ...,          nan,
                             nan,          nan],
                   [-31.51246088, -31.54228687, -31.57232411, ...,          nan,
                             nan,          nan]],
          
                  [[-30.30858914, -30.33934748, -30.37032521, ...,          nan,
                             nan,          nan],
                   [-30.55881211, -30.58900881, -30.61942497, ...,          nan,
                             nan,          nan],
                   [-31.94245282, -31.9729142 , -32.00359504, ...,          nan,
                             nan,          nan]],
          
                  [[-30.68286568, -30.70477002, -30.72678541, ...,          nan,
                             nan,          nan],
                   [-30.53126224, -30.55264442, -30.57413769, ...,          nan,
                             nan,          nan],
                   [-32.11353671, -32.1351891 , -32.15695259, ...,          nan,
                             nan,          nan]]]])

      • Attributes: (0)

      <xarray.DatasetView> Size: 64kB
      Dimensions:                  (pole: 2, beam: 8, coefficients: 503)
      Coordinates:
        * beam                     (beam) object 64B 'SC-10' 'SC-3' ... 'SC-8' 'SC-9'
          stepSize                 int64 8B 1
        * pole                     (pole) <U2 16B 'HH' 'HV'
      Dimensions without coordinates: coefficients
      Data variables:
          noiseLevelScalingValues  (pole, beam, coefficients) float64 64kB 18.03 .....

      azimuthNoiseLevelScaling

      • Groups: (0)
      • Dimensions:
        • pole: 2
        • beam: 8
        • coefficients: 503
      • Coordinates: (3)
        • beam
          (beam)
          object
          'SC-10' 'SC-3' ... 'SC-8' 'SC-9'

          array(['SC-10', 'SC-3', 'SC-4', 'SC-5', 'SC-6', 'SC-7', 'SC-8', 'SC-9'],
                dtype=object)

        • stepSize
          ()
          int64
          1

          array(1)

        • pole
          (pole)
          <U2
          'HH' 'HV'

          array(['HH', 'HV'], dtype='<U2')

      • Data variables: (1)
        • noiseLevelScalingValues
          (pole, beam, coefficients)
          float64
          18.03 17.83 17.62 ... 20.19 20.41

          units :

          dB

          array([[[18.03259361, 17.82567267, 17.61875174, ..., 17.97887603,
                   18.18579697, 18.39271791],
                  [45.45929328, 44.50603098, 43.55276869, ..., 45.2988543 ,
                   46.25211659, 47.20537889],
                  [37.51680432, 36.7940541 , 36.29863671, ..., 37.3270023 ,
                   38.24842871, 39.16985513],
                  ...,
                  [25.36641984, 25.05976688, 24.75311392, ..., 25.43286163,
                   25.73951459,         nan],
                  [22.51885011, 22.22411439, 21.96542158, ..., 22.32120948,
                   22.6159452 , 22.91068092],
                  [20.29084046, 20.07540805, 19.85997565, ..., 19.97516162,
                   20.19059403, 20.40602643]],
          
                 [[18.03290657, 17.82598119, 17.6190558 , ..., 17.97918783,
                   18.18611322, 18.39303861],
                  [45.45929328, 44.50603098, 43.55276869, ..., 45.2988543 ,
                   46.25211659, 47.20537889],
                  [37.51680432, 36.7940541 , 36.29863671, ..., 37.3270023 ,
                   38.24842871, 39.16985513],
                  ...,
                  [25.36641984, 25.05976688, 24.75311392, ..., 25.43286163,
                   25.73951459,         nan],
                  [22.51885011, 22.22411439, 21.96542158, ..., 22.32120948,
                   22.6159452 , 22.91068092],
                  [20.29084046, 20.07540805, 19.85997565, ..., 19.97516162,
                   20.19059403, 20.40602643]]])

      • Attributes: (0)

    • Dimensions:
    • Coordinates: (0)
    • Data variables: (0)
    • Attributes: (0)

  • Dimensions:
  • Coordinates: (0)
  • Data variables: (0)
  • Attributes: (0)

  <xarray.DatasetView> Size: 3GB
  Dimensions:      (pole: 2, band: 1, y: 19127, x: 18042)
  Coordinates:
    * band         (band) int64 8B 1
      spatial_ref  int64 8B 0
    * pole         (pole) <U2 16B 'HH' 'HV'
  Dimensions without coordinates: y, x
  Data variables:
      band_data    (pole, band, y, x) float32 3GB 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0

  imagery

  • Groups: (0)
  • Dimensions:
    • pole: 2
    • band: 1
    • y: 19127
    • x: 18042
  • Coordinates: (3)
    • band
      (band)
      int64
      1

      array([1])

    • spatial_ref
      ()
      int64
      0

      crs_wkt :

      GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]

      semi_major_axis :

      6378137.0

      semi_minor_axis :

      6356752.314245179

      inverse_flattening :

      298.257223563

      reference_ellipsoid_name :

      WGS 84

      longitude_of_prime_meridian :

      0.0

      prime_meridian_name :

      Greenwich

      geographic_crs_name :

      WGS 84

      horizontal_datum_name :

      World Geodetic System 1984

      grid_mapping_name :

      latitude_longitude

      spatial_ref :

      GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]

      GeoTransform :

      0.0 1.0 0.0 0.0 0.0 1.0

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      array(0)

    • pole
      (pole)
      <U2
      'HH' 'HV'

      array(['HH', 'HV'], dtype='<U2')

  • Data variables: (1)
    • band_data
      (pole, band, y, x)
      float32
      0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

      AREA_OR_POINT :

      Area

      array([[[[0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.],
               ...,
               [0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.]]],
      
      
             [[[0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.],
               ...,
               [0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.],
               [0., 0., 0., ..., 0., 0., 0.]]]], dtype=float32)

  • Attributes: (0)

• Dimensions:
• Coordinates: (0)
• Data variables: (0)
• Attributes: (18)

  name :

  RCM_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010:

  short_name :

  RCM_DS:RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010:

  product :

  Z010

  safe :

  RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010

  swath :

  SC50MB

  multidataset :

  False

  copyright :

  RCM Data and Products (c) CSA, 2020 - All Rights Reserved.

  productId :

  1050605_1

  documentIdentifier :

  RCM-SP-53-0419, Issue 2/5

  securityClassification :

  Non classifié / Unclassified

  pols :

  HH HV

  start_date :

  2020-02-14 11:59:03.000000

  stop_date :

  2020-02-14 12:00:02.000000

  footprint :

  POLYGON ((-84.63397773377159 48.71534850877886, -89.49513011173734 49.25784540666172, -90.20716719088948 45.86157135154452, -85.64696859864004 45.32177593908131, -84.63397773377159 48.71534850877886))

  coverage :

  381km * 359km (line * sample )

  pixel_line_m :

  20.0

  pixel_sample_m :

  20.0

  approx_transform :

  |-0.00,-0.00,-84.71| |-0.00, 0.00, 48.73| | 0.00, 0.00, 1.00|

# open the dataset with xarray
ds_xsar = xsar.open_dataset(filename, resolution='100m')
ds_xsar

<xarray.Dataset> Size: 2GB
Dimensions:          (line: 3825, pol: 2, sample: 3608)
Coordinates:
  * line             (line) float64 31kB 2.0 7.0 12.0 ... 1.912e+04 1.912e+04
  * pol              (pol) <U2 16B 'HH' 'HV'
  * sample           (sample) float64 29kB 2.0 7.0 12.0 ... 1.803e+04 1.804e+04
Data variables: (12/21)
    digital_number   (pol, line, sample) uint16 55MB dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>
    lines_flipped    bool 1B False
    samples_flipped  bool 1B True
    sampleSpacing    float64 8B 100.0
    lineSpacing      float64 8B 100.0
    sigma0_raw       (pol, line, sample) float64 221MB dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>
    ...               ...
    ground_heading   (line, sample) float32 55MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
    latitude         (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
    longitude        (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
    altitude         (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
    incidence        (line, sample) float32 55MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
    elevation        (line, sample) float64 110MB dask.array<chunksize=(3825, 3608), meta=np.ndarray>
Attributes: (12/18)
    name:                    RCM_DS:/home1/scratch/agrouaze/xsardatasync/xsar...
    short_name:              RCM_DS:RCM1_OK1050603_PK1050605_1_SC50MB_2020021...
    product:                 Z010
    safe:                    RCM1_OK1050603_PK1050605_1_SC50MB_20200214_11590...
    swath:                   SC50MB
    multidataset:            False
    ...                      ...
    stop_date:               2020-02-14 12:00:02.000000
    footprint:               POLYGON ((-84.63397773377159 48.71534850877886, ...
    coverage:                381km * 359km (line * sample )
    pixel_line_m:            20.0
    pixel_sample_m:          20.0
    approx_transform:        |-0.00,-0.00,-84.71|\n|-0.00, 0.00, 48.73|\n| 0....

xarray.Dataset

• Dimensions:
  • line: 3825
  • pol: 2
  • sample: 3608
• Coordinates: (3)
  • line
    (line)
    float64
    2.0 7.0 ... 1.912e+04 1.912e+04

    array([2.0000e+00, 7.0000e+00, 1.2000e+01, ..., 1.9112e+04, 1.9117e+04,
           1.9122e+04])

  • pol
    (pol)
    <U2
    'HH' 'HV'

    array(['HH', 'HV'], dtype='<U2')

  • sample
    (sample)
    float64
    2.0 7.0 ... 1.803e+04 1.804e+04

    array([2.0000e+00, 7.0000e+00, 1.2000e+01, ..., 1.8027e+04, 1.8032e+04,
           1.8037e+04])

• Data variables: (21)
  • digital_number
    (pol, line, sample)
    uint16
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    comment :

    not denoised digital number, resampled at "100m" with rasterio.enums.Resampling.rms

    history :

    digital_number: imagery/1050605_1_H*.tif

    Array Chunk Bytes 52.65 MiB 26.32 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 4 graph layers Data type uint16 numpy.ndarray

  • lines_flipped
    ()
    bool
    False

    meaning :

    xsar convention : increasing time along line axis (whatever ascending or descending pass direction)

    array(False)

  • samples_flipped
    ()
    bool
    True

    meaning :

    xsar convention : increasing incidence values along samples axis

    array(True)

  • sampleSpacing
    ()
    float64
    100.0

    referential :

    ground

    units :

    m

    array(100.)

  • lineSpacing
    ()
    float64
    100.0

    units :

    m

    array(100.)

  • sigma0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    pixelFirstLutValue :

    18041

    stepSize :

    -23

    numberOfValues :

    786

    offset :

    0.0

    Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 20 graph layers Data type float64 numpy.ndarray

  • nesz
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 52.65 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 11 graph layers Data type float32 numpy.ndarray

  • gamma0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    pixelFirstLutValue :

    18041

    stepSize :

    -23

    numberOfValues :

    786

    offset :

    0.0

    Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 20 graph layers Data type float64 numpy.ndarray

  • negz
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 52.65 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 11 graph layers Data type float32 numpy.ndarray

  • beta0_raw
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    pixelFirstLutValue :

    18041

    stepSize :

    -23

    numberOfValues :

    786

    offset :

    0.0

    Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 20 graph layers Data type float64 numpy.ndarray

  • nebz
    (pol, line, sample)
    float32
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 52.65 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 11 graph layers Data type float32 numpy.ndarray

  • sigma0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 31 graph layers Data type float64 numpy.ndarray

  • beta0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 31 graph layers Data type float64 numpy.ndarray

  • gamma0
    (pol, line, sample)
    float64
    dask.array<chunksize=(1, 3825, 3608), meta=np.ndarray>

    comment :

    not clipped, some values can be <0

    Array Chunk Bytes 210.58 MiB 105.29 MiB Shape (2, 3825, 3608) (1, 3825, 3608) Dask graph 2 chunks in 31 graph layers Data type float64 numpy.ndarray

  • land_mask
    (line, sample)
    int8
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    history :

    land_mask: cartopy.feature.NaturalEarthFeature land

    meaning :

    0: ocean , 1: land

    Array Chunk Bytes 13.16 MiB 13.16 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 3 graph layers Data type int8 numpy.ndarray

  • ground_heading
    (line, sample)
    float32
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    comment :

    at ground level, computed from lon/lat in azimuth direction

    long_name :

    Platform heading (azimuth from North)

    units :

    Degrees

    Array Chunk Bytes 52.65 MiB 52.65 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float32 numpy.ndarray

  • latitude
    (line, sample)
    float64
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • longitude
    (line, sample)
    float64
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • altitude
    (line, sample)
    float64
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 4 graph layers Data type float64 numpy.ndarray

  • incidence
    (line, sample)
    float32
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 52.65 MiB 52.65 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 5 graph layers Data type float32 numpy.ndarray

  • elevation
    (line, sample)
    float64
    dask.array<chunksize=(3825, 3608), meta=np.ndarray>

    Array Chunk Bytes 105.29 MiB 105.29 MiB Shape (3825, 3608) (3825, 3608) Dask graph 1 chunks in 12 graph layers Data type float64 numpy.ndarray

• Indexes: (3)
  • line
    PandasIndex

    PandasIndex(Index([    2.0,     7.0,    12.0,    17.0,    22.0,    27.0,    32.0,    37.0,
              42.0,    47.0,
           ...
           19077.0, 19082.0, 19087.0, 19092.0, 19097.0, 19102.0, 19107.0, 19112.0,
           19117.0, 19122.0],
          dtype='float64', name='line', length=3825))

  • pol
    PandasIndex

    PandasIndex(Index(['HH', 'HV'], dtype='object', name='pol'))

  • sample
    PandasIndex

    PandasIndex(Index([    2.0,     7.0,    12.0,    17.0,    22.0,    27.0,    32.0,    37.0,
              42.0,    47.0,
           ...
           17992.0, 17997.0, 18002.0, 18007.0, 18012.0, 18017.0, 18022.0, 18027.0,
           18032.0, 18037.0],
          dtype='float64', name='sample', length=3608))

• Attributes: (18)

  name :

  RCM_DS:/home1/scratch/agrouaze/xsardatasync/xsardata/RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010:

  short_name :

  RCM_DS:RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010:

  product :

  Z010

  safe :

  RCM1_OK1050603_PK1050605_1_SC50MB_20200214_115905_HH_HV_Z010

  swath :

  SC50MB

  multidataset :

  False

  copyright :

  RCM Data and Products (c) CSA, 2020 - All Rights Reserved.

  productId :

  1050605_1

  documentIdentifier :

  RCM-SP-53-0419, Issue 2/5

  securityClassification :

  Non classifié / Unclassified

  pols :

  HH HV

  start_date :

  2020-02-14 11:59:03.000000

  stop_date :

  2020-02-14 12:00:02.000000

  footprint :

  POLYGON ((-84.63397773377159 48.71534850877886, -89.49513011173734 49.25784540666172, -90.20716719088948 45.86157135154452, -85.64696859864004 45.32177593908131, -84.63397773377159 48.71534850877886))

  coverage :

  381km * 359km (line * sample )

  pixel_line_m :

  20.0

  pixel_sample_m :

  20.0

  approx_transform :

  |-0.00,-0.00,-84.71| |-0.00, 0.00, 48.73| | 0.00, 0.00, 1.00|

# we use here 'rasterize' to display the image, because the full image is really big
rasterize(hv.Image(ds_xsar.sigma0.sel(pol='HV')).opts(cmap='gray',colorbar=True,tools=['hover'],title="xsar",width=800,height=800,clim=(0,0.02)))