gdal 3.5.1+dfsg-1build1 source package in Ubuntu
Changelog
gdal (3.5.1+dfsg-1build1) kinetic; urgency=medium * Rebuild against latest poppler -- Jeremy Bicha <email address hidden> Thu, 11 Aug 2022 09:58:30 -0400
Upload details
- Uploaded by:
- Jeremy BĂcha
- Uploaded to:
- Kinetic
- 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_3.5.1+dfsg.orig.tar.xz | 9.0 MiB | f75dafc2530f6c38ed13e4bdc4fe2985aa86087abd23f3a68b2ca81d3b15b4c4 |
gdal_3.5.1+dfsg-1build1.debian.tar.xz | 92.7 KiB | d91e341df263dc803ff30e88f2c8584727f6d416d5b45fde524846c00c49fd0b |
gdal_3.5.1+dfsg-1build1.dsc | 3.1 KiB | 632df2518d9532bd4269cc97a870e708fa2c2c8539b1b833bb7e7ff245ef3382 |
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: No summary available for gdal-bin-dbgsym in ubuntu kinetic.
No description available for gdal-bin-dbgsym in ubuntu kinetic.
- 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: No summary available for gdal-plugins in ubuntu kinetic.
No description available for gdal-plugins in ubuntu kinetic.
- libgdal-dev: No summary available for libgdal-dev in ubuntu kinetic.
No description available for libgdal-dev in ubuntu kinetic.
- libgdal31: No summary available for libgdal31 in ubuntu kinetic.
No description available for libgdal31 in ubuntu kinetic.
- libgdal31-dbgsym: No summary available for libgdal31-dbgsym in ubuntu lunar.
No description available for libgdal31-dbgsym in ubuntu lunar.
- 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