Key | Value |
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FileName | ./usr/share/doc/python-gdal/examples/gdal_ls.py.gz |
FileSize | 2457 |
MD5 | A1039EEE363675AEAC25E9D10AFF68C4 |
SHA-1 | 1A37517D04556D9A08A99D9D2E8904592B1E29CB |
SHA-256 | 6B503DA9C405CFF1B7643E11A089EF2E9DDE4B15C03A8796CE33403DE6E68509 |
SSDEEP | 48:XOkh+arLsCjnVklKCsvjKn9/I9j6BqmgU9sLSSS+tS+1fI:ZhJf3Vk0vK9bZg4s2SS0X1A |
TLSH | T169512ADB23C7D38395F6C3AB69126D93B800EEB79A19EC9616358C261827082E94A470 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 412920 |
MD5 | F5A21D20A9E4E7DB6642F36AD5DA1EEF |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.11.3+dfsg-3build2 |
SHA-1 | 6673D5C636223E80FD31750CF9ECE9F20E70B224 |
SHA-256 | 157D3CB70A390DE552B215BA185FF5E239BA6B3279636278E1EA11102791BE9B |
Key | Value |
---|---|
FileSize | 423434 |
MD5 | E44C0518B9E0A3776F6056232474752A |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.11.3+dfsg-3build2 |
SHA-1 | C3A8B10E1FBE948C846D560CFB5C787D8BED2C42 |
SHA-256 | 50F33C9CD2B8F9170DF9F703AAB9AD6FFB9D4F6A9C7694F4F53B8F8B68B96A8E |