gdal 3.3.2+dfsg-2build1 source package in Ubuntu
Changelog
gdal (3.3.2+dfsg-2build1) jammy; urgency=medium * No-change rebuild against libproj22 -- Graham Inggs <email address hidden> Wed, 27 Oct 2021 10:24:58 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Jammy
- Original maintainer:
- Debian GIS Project
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
gdal_3.3.2+dfsg.orig.tar.xz | 8.8 MiB | e1a7417262ae302104c9e502a32e006513ab5c300126945d65091fe7406dda73 |
gdal_3.3.2+dfsg-2build1.debian.tar.xz | 245.0 KiB | 32e12d4bc4d5eea5fa64ac66c9704e8feadd5867721f7fea42f918d6638339e1 |
gdal_3.3.2+dfsg-2build1.dsc | 3.2 KiB | 0c3948ae0151264171c86596b70358402bc0236c3482458f94a83c77c7ad17bd |
Available diffs
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.
- 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).
- libgdal-perl: 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 the GDAL/OGR library.
- libgdal-perl-dbgsym: debug symbols for libgdal-perl
- libgdal-perl-doc: Documentation for the 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.
- libgdal29: No summary available for libgdal29 in ubuntu jammy.
No description available for libgdal29 in ubuntu jammy.
- libgdal29-dbgsym: No summary available for libgdal29-dbgsym in ubuntu jammy.
No description available for libgdal29-dbgsym in ubuntu jammy.
- 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