Result for 0615E2371A65C5F4C262F012A5B26DADFDD01064

Query result

Key Value
FileName./usr/share/man/man1/gdal2tiles.1.gz
FileSize1626
MD53981286695AFA546C4DB77AEA97DE771
SHA-10615E2371A65C5F4C262F012A5B26DADFDD01064
SHA-256EC8A6E142DCF07F653BBB717B817B9FA3EAD0B0F5DAA79D66AE49B642EA2F6E8
SSDEEP24:XLzgDiYM6kybcCqnMsgcqFI19m5HkH90EAFKOXEij7Hqm/hgPLV5nXI+j:X3pwbcCYMQoQJs/Km/QHP
TLSHT152310AC3C9F2E1ED2751BA400A116C110EF8245436C47A87E0178C95DF1AB52C135BF4
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

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
FileSize380728
MD511BF8D9B4422F3F255795FD99FAEA4C8
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-5ubuntu1
SHA-198051EB07AA14F2B201361F0F095621D30366F7C
SHA-2568475FAC6F9D642990FCB7B5B57BEF263CA1D39EDACD55D582406DD059A97D1BB
Key Value
FileSize363614
MD59CAD997197C2E06EEE31DB3D68B76990
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-5ubuntu1
SHA-114B95F36CA1270BAF391173A44E1C42E76D8A98C
SHA-2565016C1B7D726260981597AF05D88451ED6EFA829C7FBA6D9E6B514285EF6E7EC