Xarray-sentinel

Easily explore and access the SAR data products of the [Copernicus Sentinel-1 satellite mission](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-1) in Python.

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

**What's new:**

- Acknowledge that full `fsspec` support is now broken, see [127](https://github.com/bopen/xarray-sentinel/issues/127), and implement a workaround that work in simple cases.

**Overview:**

*xarray-sentinel* is a Python library and [*Xarray*](https://xarray.pydata.org) backend with the following functionalities:

- supports the following data products as [distributed by ESA](https://scihub.copernicus.eu/dhus/#/home):
- Sentinel-1 Ground Range Detected (GRD):
- Stripmap (SM)
- Interferometric Wide Swath (IW)
- Extra Wide Swath (EW)
- Sentinel-1 Single Look Complex (SLC) SM/IW/EW
- creates ready-to-use *Xarray* `Dataset`s that map the data lazily and efficiently in terms of both memory usage and disk / network access
- reads all SAR imagery data: GRD images, SLC swaths and SLC bursts
- reads several metadata elements: satellite orbit and attitude, ground control points, radiometric calibration look up tables, Doppler centroid estimation and more
- (partially broken, see [127](https://github.com/bopen/xarray-sentinel/issues/127)) reads uncompressed and compressed SAFE data products on the local computer or on a network via [*fsspec*](https://filesystem-spec.readthedocs.io) - **depends on rasterio >= 1.3.0**
- supports larger-than-memory and distributed data access via [*Dask*](https://dask.org) and [*rioxarray*](https://corteva.github.io/rioxarray) / [*rasterio*](https://rasterio.readthedocs.io) / [*GDAL*](https://gdal.org)
- provides a few helpers for simple operations involving metadata like cropping individual bursts out of IW SLC swaths applying radiometric calibration polynomials and converting slant to ground range for GRD products

Overall, the software is in the **beta** phase and the usual caveats apply.

Minor release, with some correctness fixes.

Add all options to the xarray plugin.

Easily explore and access the SAR data products of the [Copernicus Sentinel-1 satellite mission](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-1) in Python.

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

**What's new:**

- Add `geospatial_*` attributes from [ACDD-1.3](https://wiki.esipfed.org/Attribute_Convention_for_Data_Discovery_1-3) to full images and bursts #54
- Update documentation and tests following the release of _rasterio_ 1.3.0 that enable the full support for accessing compressed and remote data via _fsspec_,
- Improve performance of `calibrate_*` and `slant_range_time_to_ground_range` helpers in several real scenarios,
- Add `ground_range_to_slant_range_time` helper.

**Overview:**

*xarray-sentinel* is a Python library and [*Xarray*](https://xarray.pydata.org) backend with the following functionalities:

- supports the following data products as [distributed by ESA](https://scihub.copernicus.eu/dhus/#/home):
- Sentinel-1 Ground Range Detected (GRD):
- Stripmap (SM)
- Interferometric Wide Swath (IW)
- Extra Wide Swath (EW)
- Sentinel-1 Single Look Complex (SLC) SM/IW/EW
- creates ready-to-use *Xarray* `Dataset`s that map the data lazily and efficiently in terms of both memory usage and disk / network access
- reads all SAR imagery data: GRD images, SLC swaths and SLC bursts
- reads several metadata elements: satellite orbit and attitude, ground control points, radiometric calibration look up tables, Doppler centroid estimation and more
- reads uncompressed and compressed SAFE data products on the local computer or on a network via [*fsspec*](https://filesystem-spec.readthedocs.io) - **depends on rasterio >= 1.3.0**
- supports larger-than-memory and distributed data access via [*Dask*](https://dask.org) and [*rioxarray*](https://corteva.github.io/rioxarray) / [*rasterio*](https://rasterio.readthedocs.io) / [*GDAL*](https://gdal.org)
- provides a few helpers for simple operations involving metadata like cropping individual bursts out of IW SLC swaths applying radiometric calibration polynomials and converting slant to ground range for GRD products

Overall, the software is in the **beta** phase and the usual caveats apply.

Fix an incompatibility with Python 3.8.

Easily explore and access the SAR data products of the [Copernicus Sentinel-1 satellite mission](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-1) in Python.

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

**What's new:**

- **first beta release**, the code is in excellent shape with respect to features, stability and performance
- **breaking change**: naming is now always modelled from SAFE XML tags ported to snake_case 101
- add the option to select a burst by its `burst_id` in `crop_burst_dataset` 100
- add a `make_stac_item(ds.attrs)` helper function
- add group metadata attributes to data arrays 101
- added a CF compliance checker to the test suite and fixed several CF issues 98

**Overview:**

*xarray-sentinel* is a Python library and [*Xarray*](https://xarray.pydata.org) backend with the following functionalities:

- supports the following data products as [distributed by ESA](https://scihub.copernicus.eu/dhus/#/home):
- Sentinel-1 Ground Range Detected (GRD):
- Stripmap (SM)
- Interferometric Wide Swath (IW)
- Extra Wide Swath (EW)
- Sentinel-1 Single Look Complex (SLC) SM/IW/EW
- creates ready-to-use *Xarray* `Dataset`s that map the data lazily and efficiently in terms of both memory usage and disk / network access
- reads all SAR imagery data: GRD images, SLC swaths and SLC bursts
- reads several metadata elements: satellite orbit and attitude, ground control points, radiometric calibration look up tables, Doppler centroid estimation and more
- reads uncompressed and compressed SAFE data products on the local computer or on a network via [*fsspec*](https://filesystem-spec.readthedocs.io) - **depends on rasterio>=1.3a3**
- supports larger-than-memory and distributed data access via [*Dask*](https://dask.org) and [*rioxarray*](https://corteva.github.io/rioxarray) / [*rasterio*](https://rasterio.readthedocs.io) / [*GDAL*](https://gdal.org)
- provides a few helpers for simple operations involving metadata like croppping individual bursts out of IW SLC swaths applying radiometric calibration polynomials and converting slant to ground range for GRD products

Overall, the software is in the **beta** phase and the usual caveats apply.