Package: gdal-bin Source: gdal Version: 3.5.2+dfsg-1 Architecture: amd64 Maintainer: Alexandre Lessard Installed-Size: 1186 Depends: python3-gdal (= 3.5.2+dfsg-1), python3-numpy (>= 1:1.20.0), python3-numpy-abi9, python3:any, libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libgdal31 (>= 3.5.0), libstdc++6 (>= 11) Suggests: libgdal-grass Breaks: gdal-bin (<< 1.10.0-0~), python-gdal (<< 2.4.3~) Replaces: python-gdal (<< 2.4.3~) Filename: ./amd64/gdal-bin_3.5.2+dfsg-1_amd64.deb Size: 544178 MD5sum: 916be3b6a821bc055b77b3e8446ff8e0 SHA1: 7223e5c7371b41ad72760dc763b3f36456b92eba SHA256: d0499a83e8238ce14a7816c061f07339c1e6200c4246e30bfc119ca76fa2f216 Section: science Priority: optional Homepage: http://www.gdal.org/ Description: Geospatial Data Abstraction Library - Utility programs 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 utility programs, based on GDAL/OGR library, namely gdal_translate, gdalinfo, gdaladdo, gdalwarp, ogr2ogr, ogrinfo, ogrtindex. Package: gdal-data Source: gdal Version: 3.5.2+dfsg-1 Architecture: all Maintainer: Alexandre Lessard Installed-Size: 2626 Filename: ./all/gdal-data_3.5.2+dfsg-1_all.deb Size: 553314 MD5sum: 305e84dd6aec742ca2e11406c04009ed SHA1: 9e108d4d597e6daa9735bfbbbca6eaeedf69cea2 SHA256: 7808684eceb542128ab56e92d6a8541cf9b8ef6f1ba63bf1dbc716d5dbc2fa64 Section: science Priority: optional Multi-Arch: foreign Homepage: http://www.gdal.org/ Description: Geospatial Data Abstraction Library - Data files 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 the GDAL data files. Package: gdal-plugins Source: gdal Version: 3.5.2+dfsg-1 Architecture: amd64 Maintainer: Alexandre Lessard Installed-Size: 372 Filename: ./amd64/gdal-plugins_3.5.2+dfsg-1_amd64.deb Size: 325082 MD5sum: f2a38a75299c045fc101134ff7e2a354 SHA1: 0963336a40d5c8a08cc18123b30ecf89a7fe0013 SHA256: 2efb26fa9d8a9a110701eb5eac1f5dcc10d4c49c07aff8b7efb77d27755f8e84 Section: science Priority: optional Homepage: http://www.gdal.org/ Description: Geospatial Data Abstraction Library - Plugins 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 data for the plugins. Package: libgdal-dev Source: gdal Version: 3.5.2+dfsg-1 Architecture: amd64 Maintainer: Alexandre Lessard Installed-Size: 1664 Depends: libgdal31 (= 3.5.2+dfsg-1), libc6-dev, libarmadillo-dev, libblosc-dev, libcfitsio-dev, libcurl4-gnutls-dev | libcurl-ssl-dev, libdeflate-dev, libexpat1-dev, libfreexl-dev, libfyba-dev, libgeos-dev, libgeotiff-dev (>= 1.5.0), libgif-dev, libhdf4-alt-dev, libhdf5-dev, libheif-dev, libjpeg-dev, libjson-c-dev, libkml-dev, libltdl-dev, liblz4-dev, liblzma-dev, default-libmysqlclient-dev, libnetcdf-dev, libogdi-dev, libopenjp2-7-dev, libpcre2-dev, libpng-dev, libpoppler-private-dev, libpq-dev, libproj-dev (>= 6.0.0), libqhull-dev, libspatialite-dev, libsqlite3-dev, libtiff-dev, liburiparser-dev, libwebp-dev, libxerces-c-dev, libxml2-dev, libzstd-dev, unixodbc-dev Filename: ./amd64/libgdal-dev_3.5.2+dfsg-1_amd64.deb Size: 505774 MD5sum: ba646be4b6015d6f24125f5601334845 SHA1: 79f6678c7448f53d4287a318fe8edbce3c44ffae SHA256: 246a15e749ed0524e01ab207131388ea0f9b66eb186199f8c7205f009999ff84 Section: libdevel Priority: optional Homepage: http://www.gdal.org/ Description: Geospatial Data Abstraction Library - Development files 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 files needed to develop a software that will use the GDAL/OGR (headers, static objects, configuration script). Package: libgdal31 Source: gdal Version: 3.5.2+dfsg-1 Architecture: amd64 Maintainer: Alexandre Lessard Installed-Size: 20998 Depends: gdal-data (>= 3.5.2+dfsg-1), gdal-plugins (>= 3.5.2+dfsg-1), libarmadillo10 (>= 1:10.8.2+dfsg), libc6 (>= 2.35), libcfitsio9 (>= 3.480~), libcurl3-gnutls (>= 7.66.0), libdeflate0 (>= 1.0), libexpat1 (>= 2.0.1), libfreexl1 (>= 1.0.0), libfyba0, libgcc-s1 (>= 4.2), libgeos-c1v5 (>= 3.10.0), libgeotiff5 (>= 1.6.0), libgif7 (>= 5.1), libhdf4-0-alt (>= 4.2r4), libhdf5-103-1, libjpeg8 (>= 8c), libjson-c5 (>= 0.15), libkmlbase1 (>= 1.3.0~rc0-3), libkmldom1 (>= 1.3.0~rc2), libkmlengine1 (>= 1.3.0~rc0-3), liblzma5 (>= 5.1.1alpha+20110809), libmysqlclient21 (>= 8.0.11), libnetcdf19 (>= 1:4.0.0), libodbc2 (>= 2.3.1), libodbcinst2 (>= 2.3.1), libogdi4.1 (>= 3.2.0), libopenjp2-7 (>= 2.4.0), libpng16-16 (>= 1.6.2-1), libpoppler118 (>= 22.02.0), libpq5, libproj22 (>= 8.2.0), libqhull-r8.0 (>= 2020.1), libssl3 (>= 3.0.0~~alpha1), libstdc++6 (>= 12), libtiff5 (>= 4.0.10+git190814), libwebp7, libxerces-c3.2, libxml2 (>= 2.7.4), libzstd1 (>= 1.4.0), zlib1g (>= 1:1.2.2) Recommends: proj-bin Filename: ./amd64/libgdal31_3.5.2+dfsg-1_amd64.deb Size: 7346222 MD5sum: bcc4a96ab97fb4fa611c5ce4202a97af SHA1: 4892bc2f39d3a40921ada71cf8edd3b151103b04 SHA256: f614f4af3387594dbaa323ef043467d4cb8f6dec1ddcbb2b40b7668912736087 Section: libs Priority: optional Homepage: http://www.gdal.org/ 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. Package: python3-gdal Source: gdal Version: 3.5.2+dfsg-1 Architecture: amd64 Maintainer: Alexandre Lessard Installed-Size: 4729 Depends: python3 (<< 3.11), python3 (>= 3.10~), python3-numpy (>= 1:1.20.0), python3-numpy-abi9, python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libgdal31 (>= 3.5.0), libstdc++6 (>= 5.2) Suggests: gdal-bin Filename: ./amd64/python3-gdal_3.5.2+dfsg-1_amd64.deb Size: 999074 MD5sum: cafea2d9687face685db8b0c661292eb SHA1: 9e849a9942d47abb49596ea0003d08718641517e SHA256: bb963d4030e9e78f8bc3e11f2e53a2147fa49b7a4693541292354c6c4014ba66 Section: python Priority: optional Homepage: http://www.gdal.org/ 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.