Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	943500
MD5	0C2A9ACDAC828DE49215F8CC78D30797
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	E79CCD6F219E573A00705E41C50466C1B97166CE
SHA-256	95D55BEC33FAF38F85EBD276E63CBD24576D817B8D1433E42CAB0A3BA3F57C4B

Key	Value
FileSize	997368
MD5	A965E2086FEF4A47AA905D0DF897A46D
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	7D53346153E944DBCD516538C548BBA06F9B7C4B
SHA-256	B2A45383EC6A2385AF139D3F3C439BBF7FFCAD6F4B86A31ADDF49051FD8FF6FC

Key	Value
FileSize	980160
MD5	BA750BBE05BFF2307B3DF04A5163FD62
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	9C86C044FE81B23B4DC549432F6ADFE979EEBF25
SHA-256	19B288A580E9E8DBDE2F7353D180084DAF780CAAD4C9CDA007D12F53B7001ABD

Key	Value
SHA-1	FF7E607CF22FF15D2F94E46886DB834D5E95805E

Key	Value
SHA-1	A3002BC53D8971E05489121E0F6DF44BC5D4029D
snap-authority	canonical
snap-filename	43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_152.snap
snap-id	43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_152
snap-name	opendronemap
snap-publisher-id	2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2020-10-30T16:54:38.818838Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_152.snap

Key	Value
SHA-1	87DE638E5AD9122C23BDCD8CCFDDC23180EF1657
snap-authority	canonical
snap-filename	43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_151.snap
snap-id	43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_151
snap-name	opendronemap
snap-publisher-id	2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2020-10-30T16:54:38.818838Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_151.snap

Key	Value
FileSize	946256
MD5	A9B6E00FDE5F06FE53040AFCD0B1E762
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	4E989A2AA49CE42F3A378824C9F6C5C88848DE6B
SHA-256	E94623BEB166C414D2091660C7098FC2670205AD520DD44DC4AC1ABEA68E0FCD

Key	Value
FileSize	1023732
MD5	10A937869C2BB99C8A7A1A1906B6F0EC
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	8D1A0D06A576130BBA7C7E6ED93DCF5EF85842CD
SHA-256	3D8F3E1C0A31721EA53B59F1B878F71CB4F0A2CFE877B1E755845E25A15BC466

Key	Value
FileSize	996948
MD5	B6C617C7869C09B7227C2A94F87F24B5
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	F0A428E19E5E71A4EFA628DB1D0C54D512EF5489
SHA-256	23FD9CE8F10EC2C37F4E912654A5CDB46915D8E3B1704A2A4E8253365916E241

Key	Value
FileSize	1041108
MD5	201E797F966E3782ECAE24477488B28F
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	8BDB29DAED3DB05A66FA33B5948914BE33933C18
SHA-256	9A234A26E9BDDC3BECD66F479D18A58A58E5D98C7A329E329B57E6A4A4ABE934

Key	Value
FileSize	1028300
MD5	F64615A9B837911FBBFC07E38055395C
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	3EE6AAD5DA9FEC2CD2FB32C0BC19B127FCF2AC21
SHA-256	A2C387603778EBF60F441B5EF35C97C3FAEF6F15F6FC0155663E3706A6E47A19

Key	Value
FileSize	1001836
MD5	8D706CA7AECD81E95F7AAF696628F239
PackageDescription	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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-gdal
PackageSection	python
PackageVersion	3.3.2+dfsg-1
SHA-1	16EF3C7D01EC4857A1D2757A325DFD1AEF372714
SHA-256	959577C8DF08FBE8F7348001CDBD52BC387A8B75652901EA0B45E4312D79641E