Package: libgdal39
Source: gdal
Version: 3.13.2+dfsg-1.pgdg26.04+1
Architecture: amd64
Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Installed-Size: 38785
Depends: gdal-data (>= 3.13.2+dfsg-1.pgdg26.04+1), gdal-plugins (>= 3.13.2+dfsg-1.pgdg26.04+1), libaec0 (>= 1.1.5), libarchive13t64 (>= 3.4.0), libarmadillo15 (>= 1:15.2.1+dfsg), libavif16 (>= 1.3.0), libblosc1 (>= 1.17.1+ds1), libc6 (>= 2.43), libcfitsio10t64 (>= 4.2.0~), libcurl4t64 (>= 7.66.0), libdeflate0 (>= 1.0), libexpat1 (>= 2.0.1), libfreexl1 (>= 1.0.0), libfyba0t64 (>= 4.1.1), libgcc-s1 (>= 12), libgeos-c1t64 (>= 3.14.0~beta3), libgeotiff5 (>= 1.6.0), libgif7 (>= 5.1), libgomp1 (>= 4.9), libhdf4-0 (>= 4.2r4), libhdf5-310 (>= 1.14.4.3), libheif1 (>= 1.19.1), libjpeg8 (>= 8c), libjson-c5 (>= 0.15), libjxl0.11 (>= 0.9.2), libkmlbase1t64 (>= 1.3.0), libkmldom1t64 (>= 1.3.0), libkmlengine1t64 (>= 1.3.0), liblz4-1 (>= 0.0~r130), liblzma5 (>= 5.1.1alpha+20110809), libmariadb3 (>= 3.0.0), libmuparser2v5 (>= 2.3.4), libnetcdf22 (>= 1:4.0.0), libodbc2 (>= 2.3.1), libodbcinst2 (>= 2.3.1), libopenjp2-7 (>= 2.5.0), libpcre2-8-0 (>= 10.22), libpng16-16t64 (>= 1.6.46), libpoppler156 (>= 26.01.0), libpq5, libproj25 (>= 9.4.0), libqhull-r8.0 (>= 2020.1), libspatialite8t64 (>= 4.2.0), libsqlite3-0 (>= 3.38.0), libssl3t64 (>= 3.0.0), libstdc++6 (>= 14), libtiff6 (>= 4.7.0), libwebp7 (>= 1.5.0), libxerces-c3.2t64, libxml2-16 (>= 2.14.1), libzstd1 (>= 1.5.5), zlib1g (>= 1:1.2.2)
Recommends: proj-bin
Multi-Arch: same
Homepage: http://www.gdal.org/
Priority: optional
Section: libs
Filename: pool/main/g/gdal/libgdal39_3.13.2+dfsg-1.pgdg26.04+1_amd64.deb
Size: 11558732
SHA512: 38301ed4de1f9f1fcb82535f195c5a597806b19cd97b1cf87d7d2498c96cbf40021912d1949100c7499692aadf4fa8897d6e549c702e8d640b3f6915e5c3325e
SHA256: 324f778705134599f7efa9f576be081fd0c0d7725de804bd47aae9b8432a1dcb
SHA1: 7e8c49e0149bd05ab66c4f5bc72742e8e21534a6
MD5sum: 6bce5751e83de4a26dec929cf7abbd7b
Description: 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 many 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 the shared library.