Key | Value |
---|---|
FileName | ./usr/share/man/man1/gdal_retile.1.gz |
FileSize | 1899 |
MD5 | E9370CBE8969318C5A74691D0891A341 |
SHA-1 | 05CF9FDC134CD5647E65E046E41E7B51300590DC |
SHA-256 | 9A10BC84EC749AEAB6F2F880E7C8A1D4F1C5C7726A26A5440366CC74F0DA75B7 |
SSDEEP | 48:X7LwbOp2sDNYIM7AkjB+S+2tBRz/LwOqlN:3wbG2QNYIHktZtrqH |
TLSH | T1E9411D92E400CA46BFF607F9021447BDCEFE80F0CD6B6D45416B44F44650D4B66C125F |
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 | 550760 |
MD5 | 8B885A05A0BCE2FCFB07EF473420CC0C |
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 | 2.2.3+dfsg-2 |
SHA-1 | 25D65F7B79FF5CCF4AE7ACB3B4A6E5D481C4260E |
SHA-256 | 28939D4655DDDF8292197217B5F05440BDF6911AA0D1502DC68D3217129FBEDC |
Key | Value |
---|---|
FileSize | 531216 |
MD5 | D70BDCEB9D4B1A0A160CD5F5708775CF |
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 | 2.2.3+dfsg-2 |
SHA-1 | E87D44CF8435E08F43426C1279B273716A2FBA24 |
SHA-256 | 39BA9FC50C0B860C6BBCA019294878BB1AD4C5077A9887C7DE208BE8132A052B |