v0.9.3 - Beta

Minor release with the start of the abstraction of the input product detail into a generic SarProduct interface.

v0.9.2 - Beta

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors. Enables cloud-native SAR processing via Xarray and Dask.

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

Features and limitations

Sarsen is a Python library and command line tool with the following functionalities:

• provides algorithms to terrain-correct satellite SAR data
  • geometric terrain correction (geocoding)
    • fast mode: to terrain-correct images
    • accurate mode: for interferometric processing
  • radiometric terrain correction (gamma flattening)
• accesses SAR data via xarray-sentinel:
  • supports most Sentinel-1 data products as distributed by ESA:
    • Sentinel-1 Single Look Complex (SLC) SM/IW/EW
    • Sentinel-1 Ground Range Detected (GRD) SM/IW/EW
  • reads uncompressed and compressed SAFE data products on the local computer or on a network via fsspec - depends on rasterio>=1.3
• accesses DEM data via rioxarray:
  • reads local and remote data in virtually any raster format via rasterio / GDAL
• supports larger-than-memory and distributed data access and processing via Dask
  • efficient geometric terrain-correction for a full GRD
  • efficient radiometric terrain-correction for a full GRD.

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

v0.9.0 - Beta

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors. Enables cloud-native SAR processing via Xarray and Dask.

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

Features and limitations

Sarsen is a Python library and command line tool with the following functionalities:

• provides algorithms to terrain-correct satellite SAR data
  • geometric terrain correction (geocoding)
    • fast mode: to terrain-correct images
    • accurate mode: for interferometric processing
  • radiometric terrain correction (gamma flattening)
• accesses SAR data via xarray-sentinel:
  • supports most Sentinel-1 data products as distributed by ESA:
    • Sentinel-1 Single Look Complex (SLC) SM/IW/EW
    • Sentinel-1 Ground Range Detected (GRD) SM/IW/EW
  • reads uncompressed and compressed SAFE data products on the local computer or on a network via fsspec - depends on rasterio>=1.3a3
• accesses DEM data via rioxarray:
  • reads local and remote data in virtually any raster format via rasterio / GDAL
• supports larger-than-memory and distributed data access and processing via Dask

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

v0.1 - Alpha

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors. Enables cloud-native SAR processing via Xarray and Dask.

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

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

Features and limitations

Sarsen is a Python library and command line tool with the following functionalities:

• provides algorithms to terrain-correct satellite SAR data
  • geometric terrain correction (geocoding)
    • fast mode: to terrain-correct images
    • accurate mode: for interferometric processing
  • radiometric terrain correction (gamma flattening)
• accesses SAR data via xarray-sentinel:
  • supports all Sentinel-1 data products as distributed by ESA:
    • Sentinel-1 Single Look Complex (SLC) SM/IW/EW
    • Sentinel-1 Ground Range Detected (GRD) SM/IW/EW
  • reads uncompressed and compressed SAFE data products on the local computer or
    on a network via fsspec - depends on rasterio>=1.3a3
• accesses DEM data via rioxarray:
  • reads local and remote data in virtually any raster format via
    rasterio / GDAL
• supports larger-than-memory and distributed data access and processing via dask

Current limitations and work-in-progress items:

• little-to-no documentation. See #6.
• radiometric terrain-correction algorithm slow and memory hungry. See #7.

v0.0.13 - Pre-alpha

Merge pull request #1 from bopen/python-3.8

Python 3.8