Key | Value |
---|---|
FileName | ./usr/share/doc/python3-gdal/examples/ogr_dispatch.py.gz |
FileSize | 3806 |
MD5 | 059394210E8C2A8BA05CA4830E6718F4 |
SHA-1 | 1647185780367FF8FA3107E09470527FF5DEA313 |
SHA-256 | 77FD1606DF87D7164ACFE3B75E3B6D57C91CF73E09E49D14E45F811C1CB2F1E0 |
SSDEEP | 96:9o5Fxa8tk3gUisyVYnqJShdW4lTpbREHBc/z1D:SQ8tLLkqYVllFgSL1D |
TLSH | T1E3717D95101C46D7E4FB91BA5200E1B2EB82693F1555E111EA0D6BA5B30DF3B00DA9FD |
hashlookup:parent-total | 11 |
hashlookup:trust | 100 |
The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 887232 |
MD5 | BCD731C111685BD822CE46AAB60CE472 |
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 | 3.2.2+dfsg-2 |
SHA-1 | 7875BB2E7293C930D93C3CBA528534DD479AA021 |
SHA-256 | D9AA9BAA978A0E07B777432229D818125B15FFD6B429562F7D4834DE9421A396 |
Key | Value |
---|---|
FileSize | 827536 |
MD5 | 5832E429D80DD9B59E23596485496E32 |
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 | 3.2.2+dfsg-2 |
SHA-1 | C7D23F4EA28C8E68C835BA54713D24B6AABF5F2B |
SHA-256 | AAF2D4D25D9A5B84059F4D1477BAF8EEFDB0C6D4957B7CE6C4B3DE4AF09A1F10 |
Key | Value |
---|---|
FileSize | 848504 |
MD5 | 1EA24871C3F3A21DB7B0CFB134EAF1B1 |
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 | 3.2.2+dfsg-2 |
SHA-1 | 22DAC913058B3380EAE5561CA61803D4380E5B5B |
SHA-256 | 7B86276355CB73D9436F50B62AA2DA8815F0880CF29C813944CCEA8D7CDDB5D1 |
Key | Value |
---|---|
FileSize | 843568 |
MD5 | B4F27314408A2CFA622ED20896D535DC |
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 | 3.2.2+dfsg-2 |
SHA-1 | 4584E38217572C56ED446BE68B5284056A73BC42 |
SHA-256 | 0AF57B92F09DC0906C317E0D89DBBAEAB6220C685B6CF525AB835785CF104673 |
Key | Value |
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FileSize | 792992 |
MD5 | DC9628A37104EE02657424BDC8A09C10 |
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 | 3.2.2+dfsg-2 |
SHA-1 | 0EB07BF3A000AF73CB6172E2EFA2C0CF93427A3A |
SHA-256 | AA6C7DA36FE289F284423D82903EAC9D8CBF99D08EDF300496F4F012C245A02C |
Key | Value |
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FileSize | 844040 |
MD5 | 70849A47131A18DCB052A687B63401F5 |
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 | 3.2.2+dfsg-2 |
SHA-1 | 34B138A16D654DCD3A39E607BE4D299411FD2E2A |
SHA-256 | 85A7409592C470F283098B8789E7B98AC36E08432D3A5B062EAF25247FE6D5BC |
Key | Value |
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FileSize | 576856 |
MD5 | DBBBDD8493EEEA6B4842A1FBE88EE2AA |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.1.3+dfsg-1ubuntu2 |
SHA-1 | B73047EDA22A06E4F815523EDF77754DE58305E6 |
SHA-256 | F1A7CE03FD835C5552B3ECAE4F75979775EC45353615174541C4385A2D1DBDCA |
Key | Value |
---|---|
FileSize | 868660 |
MD5 | 7B20C487D90AC1CC4305F333D84302CB |
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 | 3.2.2+dfsg-2 |
SHA-1 | C1B3462F4EB0E44FAE9E755ACA31BEDEA8704AE6 |
SHA-256 | A36E542E050F84DDF714E162A773E87CDB7F01CB55B9C232A4364AD1B7BC9CBC |
Key | Value |
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FileSize | 619176 |
MD5 | 5AD48D9BB5CA1239B28764ECFB06F052 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.2.2+dfsg-1ubuntu1 |
SHA-1 | DA7C870EB20EF358647AB6EE87B5EE2AB8DD19C7 |
SHA-256 | F9BEDC94F97AA7FCC4AAD5613E96A31490945BB6629EFA65100D17796CD7D63A |
Key | Value |
---|---|
FileSize | 795172 |
MD5 | 5622F19399401C7796C0F4F689ACB45F |
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 | 3.2.2+dfsg-2 |
SHA-1 | 49BFFEFA54BBB4D269D83BF63D3E346C935DC140 |
SHA-256 | E4E8C6739292CC66CA6A14E69CF3DCED4265BF953DC7A1E9B8F1C1DB618CDFBD |
Key | Value |
---|---|
FileSize | 873328 |
MD5 | BE4ED6D3E70105CFE215B2FD538C3520 |
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 | 3.2.2+dfsg-2 |
SHA-1 | 9E03E2251566AAAF03882621604FEBB92FAA4BE2 |
SHA-256 | 2831DB0967FF3B47978175010847DA98A5EC1487A53ED91528DAD44DE67B41CA |