Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-37m-x86_64-linux-gnu.so |
FileSize | 246328 |
MD5 | CAAEDC0DFB126CA7370A9CC672154879 |
SHA-1 | 41DFEF07E7E52851EE55EEE3874ADCD88E1ECB31 |
SHA-256 | 0668B40F68E3DD54FEBF46FA92D48FFFF712480A6FC6E1EA5E057EF3F654F7B2 |
SSDEEP | 6144:V8K/tzZIzdqY7mGt+MlcvDRhf0vfLqu+rKo0DMvMOLJDSN8N/g9l:VvRZma |
TLSH | T1F634D5A6A0821CF9CBE7C13845EB33563C11B4A56EADE82F44E4A4361713EF0175BB76 |
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 | 600784 |
MD5 | 1541D90D1058C722E34F06E27EF17E35 |
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 | 5DE62FD66681D5F3D1FD75FC8E42033B34BD3B46 |
SHA-256 | 4921C6753F7BBB8E153A30077578DBA3591B15B0737854897BD6BBE8B5F1B0E5 |