Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-35m-arm-linux-gnueabihf.so |
FileSize | 160620 |
MD5 | 3F2CF1EEE36BED626DEACE2C8179DAFA |
SHA-1 | 071AA055703EFF8E660D70C5C2EF40F10E908754 |
SHA-256 | D1213A07866C559AB19C93F60455B44EB1CE654AAE4688943F8876D19CADE10A |
SSDEEP | 3072:RRNVpafUX8barsz0a920z49lsfCNTutdmW+dIHWfAyvczVnCd6gbQmM41/yCa6F4:DwfUXQarszV920z49lkCNTutdmW+dIHe |
TLSH | T113F3B56B29C65DC2D6EB413C51DB2B0B6803A0B27EFED8AF99D100761A43DF4065F936 |
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 | 456184 |
MD5 | E9D7E568F50EEF4CE0B494E5854799A7 |
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 | 2.1.2+dfsg-5 |
SHA-1 | 4B7F44264EE6B656C1971E6712DA27A59C99387E |
SHA-256 | 9D98ECC98AEDC2F2D2B571B76BB7EF1BB704676CF6E841C3BC8B1A5B7D4BFA25 |