/xarray-sentinel

Xarray backend to Copernicus Sentinel-1 satellite data products

Primary LanguagePythonApache License 2.0Apache-2.0

xarray-sentinel

WARNING: this product is a "technology preview" / pre-Alpha

Xarray backend to explore and load Copernicus Sentinel-1 satellite data products.

This Open Source project is sponsored by B-Open - https://www.bopen.eu

Features

  • access to SLC burst data - technology preview
  • access to metadata: product, orbit, attitude, GCPs - technology preview
  • access to metadata: calibration, deramp - in roadmap
  • products:
    • Sentinel-1 SLC IW (Interferometric Wide Swath): technology preview
    • Sentinel-1 SLC EW (Extended Wide Swath): technology preview
    • Sentinel-1 SLC SM (Stripmap): in roadmap
    • Sentinel-1 GRD SM/IW/EW: in roadmap
    • Sentinel-2 L1C/L2A: in roadmap

Install

The easiest way to install xarray-sentinel is via conda. Create a new environment, activate it, install the package and its dependencies, as follows:

    conda create -n xarray-sentinel
    conda activate xarray-sentinel
    conda install -c conda-forge rioxarray xmlschema
    pip install xarray-sentinel

Sentinel-1 SLC IW

Data

Currently, xarray-sentinel provides access as Xarray datasets to the following data:

  • burst data
  • gcp
  • orbit
  • attitude

using azimuth_time and slant_range_time dimensions.

Examples:

Open root dataset

>>> from xarray_sentinel import sentinel1
>>> product_path = "tests/data/S1B_IW_SLC__1SDV_20210401T052622_20210401T052650_026269_032297_EFA4.SAFE"
>>> sentinel1.open_dataset(product_path)
<xarray.Dataset>
Dimensions:  ()
Data variables:
    *empty*
Attributes: (12/15)
    constellation:              sentinel-1
    platform:                   sentinel-1b
    instrument:                 ['c-sar']
    sat:orbit_state:            descending
    sat:absolute_orbit:         26269
    sat:relative_orbit:         168
    ...                         ...
    sar:polarizations:          ['VV', 'VH']
    sar:product_type:           SLC
    xs:instrument_mode_swaths:  ['IW1', 'IW2', 'IW3']
    groups:                     ['IW1', 'IW1/calibration', 'IW1/gcp', 'IW1/at...
    Conventions:                CF-1.7
    history:                    created by xarray_sentinel-...

The attribute groups shows the available groups to be loaded. The key group shall be used to select the dataset to be loaded.

Open gcp dataset

To load the gcp relative to the first swath use the key group="IW1/gcp":

>>> sentinel1.open_dataset(product_path, group="IW1/gcp")
<xarray.Dataset>
Dimensions:           (azimuth_time: 10, slant_range_time: 21)
Coordinates:
  * azimuth_time      (azimuth_time) datetime64[ns] 2021-04-01T05:26:24.20973...
  * slant_range_time  (slant_range_time) float64 0.005343 0.00536 ... 0.005679
    line              (azimuth_time) int64 0 1501 3002 ... 10507 12008 13508
    pixel             (slant_range_time) int64 0 1082 2164 ... 19476 20558 21631
Data variables:
    latitude          (azimuth_time, slant_range_time) float64 ...
    longitude         (azimuth_time, slant_range_time) float64 ...
    height            (azimuth_time, slant_range_time) float64 ...
    incidenceAngle    (azimuth_time, slant_range_time) float64 ...
    elevationAngle    (azimuth_time, slant_range_time) float64 ...
Attributes:
    Conventions:  CF-1.7
    title:        Geolocation grid
    comment:      The dataset contains geolocation grid point entries for eac...
    history:      created by xarray_sentinel-...

Open attitude dataset

>>> sentinel1.open_dataset(product_path, group="IW1/attitude")
<xarray.Dataset>
Dimensions:       (azimuth_time: 25)
Coordinates:
  * azimuth_time  (azimuth_time) datetime64[ns] 2021-04-01T05:26:24.750001 .....
Data variables:
    q0            (azimuth_time) float64 ...
    q1            (azimuth_time) float64 ...
    q2            (azimuth_time) float64 ...
    q3            (azimuth_time) float64 ...
    wx            (azimuth_time) float64 ...
    wy            (azimuth_time) float64 ...
    wz            (azimuth_time) float64 ...
    pitch         (azimuth_time) float64 ...
    roll          (azimuth_time) float64 ...
    yaw           (azimuth_time) float64 ...
Attributes:
    Conventions:  CF-1.7
    title:        Attitude information used by the IPF during processing
    comment:      The dataset contains a sets of attitude data records that a...
    history:      created by xarray_sentinel-...

Open orbit dataset

>>> sentinel1.open_dataset(product_path, group="IW1/orbit")
<xarray.Dataset>
Dimensions:       (axis: 3, azimuth_time: 17)
Coordinates:
  * azimuth_time  (azimuth_time) datetime64[ns] 2021-04-01T05:25:19 ... 2021-...
  * axis          (axis) <U1 'x' 'y' 'z'
Data variables:
    position      (axis, azimuth_time) ...
    velocity      (axis, azimuth_time) ...
Attributes:
    reference_system:  Earth Fixed
    Conventions:       CF-1.7
    title:             Orbit information used by the IPF during processing
    comment:           The dataset contains a sets of orbit state vectors tha...
    history:           created by xarray_sentinel-...

Open a single burst

>>> sentinel1.open_dataset(product_path, group="IW1/R168-N459-E0115")
<xarray.Dataset>
Dimensions:           (azimuth_time: 1501, slant_range_time: 21632)
Coordinates:
    pixel             (slant_range_time) int64 0 1 2 3 ... 21629 21630 21631
    line              (azimuth_time) int64 10507 10508 10509 ... 12006 12007
  * azimuth_time      (azimuth_time) datetime64[ns] 2021-04-01T05:26:43.51577...
  * slant_range_time  (slant_range_time) float64 0.005343 0.005343 ... 0.005679
Data variables:
    VH                (azimuth_time, slant_range_time) complex128 ...
    VV                (azimuth_time, slant_range_time) complex128 ...
Attributes: (12/14)
    constellation:              sentinel-1
    platform:                   sentinel-1b
    instrument:                 ['c-sar']
    sat:orbit_state:            descending
    sat:absolute_orbit:         26269
    sat:relative_orbit:         168
    ...                         ...
    sar:instrument_mode:        IW
    sar:polarizations:          ['VV', 'VH']
    sar:product_type:           SLC
    xs:instrument_mode_swaths:  ['IW1', 'IW2', 'IW3']
    Conventions:                CF-1.7
    history:                    created by xarray_sentinel-...

With the upcoming release of Xarray v0.18.0, xarray-sentinel will be automatically available as an Xarray backend:

>>> import xarray as xr
>>> ds = xr.open_dataset(product_path, engine="sentinel-1")

Contributing

The main repository is hosted on GitHub, testing, bug reports and contributions are highly welcomed and appreciated:

https://github.com/bopen/xarray-sentinel

Lead developer:

Main contributors:

See also the list of contributors who participated in this project.

License

Copyright 2021, B-Open Solutions srl and the xarray-sentinel authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.