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gdal package

gdal 3.5.0+dfsg-1build1 source package in Ubuntu

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gdal (3.5.0+dfsg-1build1) kinetic; urgency=medium

  * No-change rebuild against libarmadillo11

 -- Steve Langasek <email address hidden>  Mon, 13 Jun 2022 06:16:00 +0000

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Uploaded by:
Steve Langasek
Uploaded to:
Kinetic
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

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gdal_3.5.0+dfsg.orig.tar.xz 9.0 MiB 32e82127ac63fef10a9ee495b5b27aec260b5d16c04ca962ec738c9593c7ae55
gdal_3.5.0+dfsg-1build1.debian.tar.xz 92.3 KiB 23f3585be6e2e6355d89edcc0cca3ad8fd30187fb831bf4e2e7afed263104b10
gdal_3.5.0+dfsg-1build1.dsc 3.2 KiB cb922d8822f6d7f6ea38bb090262519095e110f1786d0f1641bcb7326e8962a2

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Binary packages built by this source

gdal-bin: 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.

gdal-bin-dbgsym: debug symbols for gdal-bin
gdal-data: 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.

gdal-plugins: 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.

libgdal-dev: 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).

libgdal31: 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.

libgdal31-dbgsym: debug symbols for libgdal31
python3-gdal: 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.

python3-gdal-dbgsym: debug symbols for python3-gdal