Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/osgeo/_osr.arm-linux-gnueabihf.so |
FileSize | 149292 |
MD5 | E52F01F24599552EEAFC62F761DEA839 |
SHA-1 | 14315F6F1C117BE199EE904E4770DF00A5595D85 |
SHA-256 | 10184717F04AEFAA9EBD963E52552B7D5F0E4DAA4DA4D5786CB85148406353ED |
SSDEEP | 3072:MQ10vYg4KsKp0RWljtH7WDvD6md4xqJuDRqEWV7kOVp4VslhbDYBS28LqWFfhGx/:50vYg4KsKp0RWljl7WDvD6md4xqJuDRb |
TLSH | T1D9E3956E18C14CC2D6EB463C45EB7B0F2812A1A23EFED85B89D550371653DF41AAB933 |
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 | 480612 |
MD5 | 81132CE7CBC2FC66E1CF7CCBE1B95A25 |
PackageDescription | Python 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 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 | python-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 42599B6742DCA99DFC12700619AC22802BE25D0B |
SHA-256 | 34791592ABAD9607063F05860A55D79F47E6967182A3268A8ACA242853CBB5FE |