Source: xarray-sentinel Section: python Priority: optional Maintainer: Debian GIS Project Uploaders: Antonio Valentino Rules-Requires-Root: no Testsuite: autopkgtest-pkg-python Build-Depends: debhelper-compat (= 12), dh-python, pybuild-plugin-pyproject, python3-all, python3-dask, python3-fsspec (>= 2021.4.0), python3-netcdf4, python3-numpy, python3-pandas, python3-pytest, python3-rasterio (>= 1.3.0), python3-rioxarray, python3-setuptools, python3-setuptools-scm, python3-shapely, python3-xarray (>= 0.18.0), python3-xmlschema (>= 1.9.0), python3-zarr Standards-Version: 4.6.1 Vcs-Browser: https://salsa.debian.org/debian-gis-team/xarray-sentinel Vcs-Git: https://salsa.debian.org/debian-gis-team/xarray-sentinel.git Homepage: https://github.com/bopen/xarray-sentinel Package: python3-xarray-sentinel Architecture: all Depends: ${misc:Depends}, ${python3:Depends} Recommends: python3-dask, python3-netcdf4, python3-shapely, python3-zarr Description: Easily access SAR data products of the Copernicus Sentinel-1 satellite mission Easily access and explore the SAR data products of the Copernicus Sentinel-1 satellite mission in Python. xarray-sentinel is a Python library and Xarray backend with the following functionalities: . * supports the following data products as distributed by ESA: - 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 * supports larger-than-memory and distributed data access via Dask and rioxarray / rasterio / GDAL * provides a few helpers for simple operations involving metadata like cropping individual bursts out of IW SLC swaths, applying radiometric calibration polynomials, converting slant to ground range for GRD products and computing geospatial metadata.