Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-aarch64-linux-gnu.so |
FileSize | 562880 |
MD5 | DBDCD0CE9BB1450C5A32CC6EC0E8394B |
SHA-1 | 4DA10B334B89243D25D568A22A01F992F0788E80 |
SHA-256 | 52DB563D2FEC529C9D8CE89110ED1DBA225B5C7A41DCDBA856E3C4F9FD169AC1 |
SSDEEP | 3072:xT31lvDblhokbOvfCsdfKfJ1MlunPMCoaivtRmC70Vhvnt0I+CGYtMI/7hpg0AAF:ND/sdCeludJivtQC4vt0rWg0AZw |
TLSH | T126C43C0CAD4D6A22D686533E46BF9043FF13F4ECB39586617064627B78C38AA52FB744 |
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 |
---|---|
FileSize | 464292 |
MD5 | A25C2B021EDE9B66F0058E409A0BD0D3 |
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 | 82659A47D29E10E739C89058E7E9FA5BC9F0965F |
SHA-256 | 4AD933D3600B4BD609588FF7CA4DCBAD940F78CD894D598A7F1A6CAD27A1DB89 |