Package: python3-gdal
Source: gdal
Version: 3.13.3+dfsg-2.pgdg26.04+1
Architecture: amd64
Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Installed-Size: 6308
Depends: python3 (<< 3.15), python3 (>= 3.14~), python3-numpy2-abi0 | python3-numpy-abi9, python3:any, libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libgdal39 (>= 3.13.0), libstdc++6 (>= 13.1)
Suggests: gdal-bin
Homepage: http://www.gdal.org/
Priority: optional
Section: python
Filename: pool/main/g/gdal/python3-gdal_3.13.3+dfsg-2.pgdg26.04+1_amd64.deb
Size: 1115864
SHA512: 46b2f1ba076c1642f4a112e97d9138765541737f3410451a8cab872812fbf80bb82e0d953d3537ec89bd7660d7abf285b5caec10399b6aea2635dd0361c8bfa1
SHA256: 2a53632a260f6126e37489343f53386dd02fce8096331dc06c28bb26559c5670
SHA1: 1acf885ef033ce2bf7ae56d4d7e803ad25ec477e
MD5sum: 227ee75276673528bca616844d9f2a1e
Description: Python 3 bindings to the Geospatial Data Abstraction Library
 GDAL is a translator library for raster geospatial data formats.
 As a library, it presents a single abstract data model to the
 calling application for all supported formats. The related OGR
 library (which lives within the GDAL source tree) provides
 a similar capability for simple features vector data.
 .
 GDAL supports 40+ popular data formats, including commonly used
 ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
 GIS and remote sensing software packages (ERDAS Imagine,
 ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
 sensing and scientific data distribution formats such as HDF,
 EOS FAST, NOAA L1B, NetCDF, FITS.
 .
 OGR library supports popular vector formats like ESRI Shapefile,
 TIGER data, S57, MapInfo File, DGN, GML and more.
 .
 This package contains Python 3 bindings for the GDAL/OGR library.