Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/ogr.py |
FileSize | 161483 |
MD5 | CFB9792C9726654040C111150EBAC4AA |
SHA-1 | 77AF491A28A4B0A40CD7C4D6E4A4D8E1CE6B5EC0 |
SHA-256 | A37CA6E5B38AE5D851D5B18819A987BFA31EE284BCF6D98C39C962A0055F4344 |
SSDEEP | 1536:9elgYLcLQ7qbQwCJmGjqMlfBt0DPJdBadkcaNg1t55kT1/gbO93vv1X5mVVzUWzj:9e2Q+vmlbK05aNg1t55kT0O9gzB5V |
TLSH | T1D8F37506ED555E34C203D83058FFA58AFF15A8BB157A00B4B47CA17A3FA193553EEAC8 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 322940 |
MD5 | 53A9061F936101ABEB6462C3F66DBF31 |
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 GDAL/OGR library and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 03225275B2F4B6350EAEC2B6E730EE04F2271844 |
SHA-256 | F0CC568AEADB80EAE0266944D15185289116C0371BB67C28F1EAE5EC192448B4 |
Key | Value |
---|---|
FileSize | 350288 |
MD5 | BCC1F0E7F3FA487DBE0FF43F19D1D76C |
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 GDAL/OGR library and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 1CD76E2A30E6AC413AD1B7B0D639FBDBB2C5107C |
SHA-256 | 54167D31950F2661D4C4B856D38583CCB506056B3ACBE0954954FE8E48B26F3E |
Key | Value |
---|---|
FileSize | 332164 |
MD5 | FD08CF1AD5084F297285659803E56ABC |
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 GDAL/OGR library and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 7CDCEFC35CDCABAEF295231EBB042104A366FE4D |
SHA-256 | 9EEB56E76A51119B41903170A51C00DF15C1EEB24AB786669AADF27EA0951988 |
Key | Value |
---|---|
FileSize | 354596 |
MD5 | 83951B79D8FCE6A381848E7C26E14EF4 |
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 GDAL/OGR library and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 688D9AC1E43C09ECAA9B2FC9E2ED4CD155DAB141 |
SHA-256 | D36A80B3849521D0F199A5401D915BDB7D0AF5445D01A9B0D7A3E09ED901F22A |