Parents (Total: 20)

The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	814384
MD5	0BC37A6B39C365FE224853FF1D4DB902
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	01D1E372D907D456FEEB09E977E06CF39C980BEA
SHA-256	90DA30FC467750B1AAAB1EC6059D5E0CAB3DC589EB2D5746C993B71C2F1DDE55

Key	Value
FileSize	735556
MD5	7C86DC3E99F40607F05B40486501CCE1
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	099AAD85F4427FEBA7CEEE0873F5E6712E6ADE7D
SHA-256	2F522D13768F75B136E0190384311E6EE9AA2547D99615BAAEFE7E53315CB137

Key	Value
FileSize	775636
MD5	2DADFEDB812DCA221901CFD127766814
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	0B519A7F6C122A7221F47D81B34DDE7C14C7EC9A
SHA-256	5180219D8B4AFF94915EB2FF5A19A0F97D420D4FA803DC7511E642E169F3FB65

Key	Value
FileSize	794588
MD5	D3070400FBF3C9FB23E30851371F6D1E
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	19943C34234C406AB42BE3555EDA80C251DEDE9E
SHA-256	CCB07E02DF8FBB02A820BEC39855E21FDEDAD89269DAE0A6893F9E7E76146CA4

Key	Value
FileSize	787436
MD5	95291E9BB10C40CC0FF8E43CC311A9CE
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	226DF7C2AEDAF07500D501B24E96076C7FE4D2B2
SHA-256	E939000AC2F74A26F7B8443BEBB0A94247D69E5A9895AB5AEB13064A3CFAB4DF

Key	Value
FileSize	748056
MD5	E765A229DF98FD59A87CE519785254D4
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	2D08323EC34878B32D0A4AC7B0B1AC98FBB43729
SHA-256	EBB9AA292BA4CDCEEA339B4E24C0189A923CC8A6C1B946119831D3A1AF099268

Key	Value
MD5	6E9BE95C2B896E57AB220F75DD226569
PackageArch	armv7hl
PackageDescription	The GDAL Python 3 modules provide support to handle multiple GIS file formats.
PackageMaintainer	Fedora Project
PackageName	python3-gdal
PackageRelease	2.fc32
PackageVersion	3.0.4
SHA-1	87F44BE7A9831FCC61ABD3B99EC3CCD112009D8E
SHA-256	ADA0287F5EB04B9CAD42619C03C3DB58D32DFF8D24AB133EAEDA50CACC231922

Key	Value
MD5	403F2404DCFE3C169543978BBCBFAF2B
PackageArch	x86_64
PackageDescription	The GDAL Python 3 modules provide support to handle multiple GIS file formats.
PackageMaintainer	Fedora Project
PackageName	python3-gdal
PackageRelease	2.fc32
PackageVersion	3.0.4
SHA-1	8C63D6E5F368D7C37113E8C5EAF3587AF01B79A8
SHA-256	B95961CF11DC27D2B6E109C72360E578292E8C015775E5074D8314D102C54944

Key	Value
FileSize	802332
MD5	1888A4958690DB912AE353ADE4ECF6C9
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-gdal
PackageSection	python
PackageVersion	2.4.0+dfsg-1+b1
SHA-1	8F73D593671974C682E428372F0DDEAF2380599A
SHA-256	56601B07C500C21881CBD8883A5FF686B90546F336CF677D8AD89D61B8F00B07

Key	Value
MD5	04296ECC548228779FF15D62DC3306E9
PackageArch	s390x
PackageDescription	The GDAL Python 3 modules provide support to handle multiple GIS file formats.
PackageMaintainer	Fedora Project
PackageName	python3-gdal
PackageRelease	8.el8
PackageVersion	3.0.4
SHA-1	A46A887178A16ED023F11FBD4EF8747B9AECA55F
SHA-256	047729A03E5D9B6C37088B632F49A578FCAE046973CD464D03358E0DF6D53B2D