Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal.cpython-37m-arm-linux-gnueabi.so |
FileSize | 459132 |
MD5 | 56F8B5BB5A6AE8DEF7629A24458AF0C6 |
SHA-1 | 221F6D45B0F0FE75B0B1E616266E829FC1A1FFBC |
SHA-256 | DAF6096ACA4A03447899C1C92D05F1EA19AE6F92D9D9DDD9690B084DBE6ECDB4 |
SSDEEP | 12288:fc1oAMRPcDg+P8kqu/AGeUuN1TvVfh4EG0njJk61Jx/O/:kxEJZiK |
TLSH | T1D3A4E758D180BBBAC5E9233EB3F8E7127113677983E63902897462713B17D3E493691E |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 535952 |
MD5 | F4C4E40B5E6ADFE50458757EFBB9E502 |
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. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 2.4.0+dfsg-1+b1 |
SHA-1 | 4F6561855B8ED87D24F57069C62D84E7E8585E05 |
SHA-256 | C66D2461C73AB56208F95C60F579FCA01DE92CB09851586B397424D97236FFB9 |