Artifact xsar_2024.10.21-1

Metadata
dsc_fields:
  Architecture: all
  Binary: python3-xsar
  Build-Depends: debhelper-compat (= 13), dh-python, dh-sequence-python3, python3-affine,
    python3-aiohttp, python3-all, python3-cartopy, python3-dask, python3-dill, python3-distributed,
    python3-fiona, python3-fsspec, python3-geopandas, python3-lxml, python3-matplotlib,
    python3-numpy, python3-packaging, python3-psutil, python3-pyproj, python3-rasterio,
    python3-scipy, python3-setuptools, python3-setuptools-scm, python3-shapely, python3-tz,
    python3-xarray, python3-xarray-datatree, python3-xarray-safe-rcm, python3-xarray-safe-s1,
    python3-xradarsat2, python3-yaml
  Checksums-Sha1:
  - name: xsar_2024.10.21.orig.tar.gz
    sha1: 3af3d4e26f50b02dc927e1e5ab81a030927b84fe
    size: '1379272'
  - name: xsar_2024.10.21-1.debian.tar.xz
    sha1: 5f0eb7f450dde005a8d5ca1809da937b382dc1ba
    size: '4080'
  Checksums-Sha256:
  - name: xsar_2024.10.21.orig.tar.gz
    sha256: 19811b1e85bc3b81513b285a1e427b682dff40fff411d08cfdd460df745ae241
    size: '1379272'
  - name: xsar_2024.10.21-1.debian.tar.xz
    sha256: 4b88255b71aedebb9f07f8f3e1099c118741257cb74693f94b95474d705a071a
    size: '4080'
  Description: |-
    Python xarray reader to use Level-1 GRD Synthetic Aperture Radar products
     XSAR is a distributed Level 1 Synthetic Aperture Radar (SAR) file reader
     designed to write efficient distributed processing algorithms with xarray
     and dask.
     .
     It currently handles Level-1 Sentinel-1 and Radarsat-2 data in SAFE format,
     as found on scihub or PEPS.
     .
     XSAR rely on `xarray.open_rasterio`, rasterio and GDAL to read digital_number
     from SAFE product to return an `xarray.Dataset` object with dask chunks.
     LUTs are decoded from XML files and applied to digital_number, following
     official ESA thermal de-noising document and ESA Sentinel-1 Product
     Specification.
     .
     End user can directly use for example sigma0 variable, or the de-noised
     sigma0 computed from digital_number and by applying relevant LUTs.
     .
     Since XSAR rely on dask, it have a small memory footprint: variables are
     read from file and computed only if needed.
  Files:
  - md5sum: f23dafa99e992986cfe34b5d7c2db8c6
    name: xsar_2024.10.21.orig.tar.gz
    size: '1379272'
  - md5sum: 310e6dad77bf6bfb0a4981a4947f0518
    name: xsar_2024.10.21-1.debian.tar.xz
    size: '4080'
  Format: 3.0 (quilt)
  Homepage: https://github.com/umr-lops/xsar
  Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
  Package-List: |2-

     python3-xsar deb python optional arch=all
  Source: xsar
  Standards-Version: 4.7.0
  Testsuite: autopkgtest-pkg-pybuild
  Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>
  Vcs-Browser: https://salsa.debian.org/debian-gis-team/xsar
  Vcs-Git: https://salsa.debian.org/debian-gis-team/xsar.git
  Version: 2024.10.21-1
name: xsar
type: dpkg
version: 2024.10.21-1

Files

Name Size (bytes)
xsar_2024.10.21-1.debian.tar.xz 4.0 KB
xsar_2024.10.21-1.dsc 3.4 KB
xsar_2024.10.21.orig.tar.gz 1.3 MB

source package System mirror trixie from https://deb.debian.org/debian - 2 days, 19 hours ago 0 minutes
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