Source: gdal Maintainer: Debian GIS Project Uploaders: Francesco Paolo Lovergine , Bas Couwenberg Section: science Priority: optional Build-Depends: debhelper (>= 9.20160114), dh-autoreconf, dh-python, d-shlibs, default-jdk-headless, doxygen, graphviz, ant, chrpath, libarmadillo-dev, libcharls-dev, libcurl4-gnutls-dev | libcurl-ssl-dev, libdap-dev, libdoxygen-filter-perl, libepsilon-dev (>= 0.9.1-1~), libexpat1-dev, libfreexl-dev (>= 1.0.0), libfyba-dev, libgeos-dev, libgeotiff-dev, libgif-dev, libhdf4-alt-dev, libhdf5-dev (>= 1.8.8), libjpeg-dev, libjson-c-dev, libkml-dev (>= 1.3.0~rc0-3), liblzma-dev, libmodern-perl-perl, default-libmysqlclient-dev, libnetcdf-dev (>= 1:4.0.0), libogdi3.2-dev, libopenjp2-7-dev, libpcre3-dev, libpng-dev, libpoppler-private-dev, libpq-dev, libproj-dev, libqhull-dev, libspatialite-dev (>= 4.3.0-3~), libsqlite3-dev, libtiff-dev, liburiparser-dev, libwebp-dev, libxerces-c-dev, libxml2-dev, libzstd-dev, lsb-release, netcdf-bin, patch, python-all-dev (>= 2.6.6-3~), python-numpy, python3-all-dev, python3-numpy, python3-distutils, swig, unixodbc-dev (>= 2.2.11), zlib1g-dev Build-Conflicts: automake1.11, python-setuptools Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/debian-gis-team/gdal Vcs-Git: https://salsa.debian.org/debian-gis-team/gdal.git Homepage: http://www.gdal.org/ Package: libgdal20 Architecture: any Section: libs Depends: gdal-data (>= ${source:Version}), ${shlibs:Depends}, ${misc:Depends} Recommends: proj-bin Breaks: libgdal1h (<< 2.0) Provides: gdal-abi-2-4-0 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: libgdal-dev Architecture: any Section: libdevel Depends: libgdal20 (= ${binary:Version}), libc6-dev, libarmadillo-dev, libcharls-dev, libcurl4-gnutls-dev | libcurl-ssl-dev, libdap-dev, libepsilon-dev, libexpat1-dev, libfreexl-dev, libfyba-dev, libgeos-dev, libgeotiff-dev, libgif-dev, libhdf4-alt-dev, libhdf5-dev, libjpeg-dev, libjson-c-dev, libkml-dev, libltdl-dev, liblzma-dev, default-libmysqlclient-dev, libnetcdf-dev, libogdi3.2-dev, libopenjp2-7-dev, libpcre3-dev, libpng-dev, libpoppler-private-dev, libpq-dev, libproj-dev, libqhull-dev, libspatialite-dev, libsqlite3-dev, libtiff-dev, liburiparser-dev, libwebp-dev, libxerces-c-dev, libxml2-dev, libzstd-dev, unixodbc-dev, ${misc:Depends} Suggests: libgdal-doc 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: libgdal-doc Architecture: all Multi-Arch: foreign Section: doc Depends: ${misc:Depends} Suggests: libgdal20 Description: Documentation for 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 documentation for GDAL/OGR API. Package: gdal-bin Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Suggests: libgdal-grass, python-gdal Breaks: gdal-bin (<< 1.10.0-0~) 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 Architecture: all Multi-Arch: foreign Depends: ${misc:Depends} 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: python-gdal Architecture: any Section: python Depends: ${python:Depends}, ${shlibs:Depends}, ${misc:Depends} Suggests: gdal-bin Provides: ${python:Provides} Description: Python 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 bindings for GDAL/OGR library and a set of additional command line tools. Package: python3-gdal Architecture: any Section: python Depends: ${python3:Depends}, ${shlibs:Depends}, ${misc:Depends} Suggests: gdal-bin Provides: ${python3:Provides} 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 GDAL/OGR library. Package: libgdal-perl Architecture: any Section: perl Depends: ${perl:Depends}, ${shlibs:Depends}, ${misc:Depends} Suggests: libgdal-perl-doc Description: Perl 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 Perl bindings for GDAL/OGR library. Package: libgdal-perl-doc Architecture: all Depends: ${misc:Depends} Breaks: libgdal-perl (<< 2.2.3+dfsg-2~exp1) Replaces: libgdal-perl (<< 2.2.3+dfsg-2~exp1) Section: doc Description: Documentation for GDAL Perl bindings 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 documentation of the Perl bindings for GDAL/OGR library. Package: libgdal-java Architecture: any Section: java Depends: ${shlibs:Depends}, ${misc:Depends} Description: Java 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 Java bindings for GDAL/OGR library.