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 |
hashlookup:children-total | 92 |
hashlookup:trust | 50 |
The searched file hash includes 92 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/rel.py.gz |
FileSize | 2607 |
MD5 | BF91E11BB46A8237539AC2A9304E990C |
SHA-1 | 03FA519EC02EEC4C3CA3AD816C7CB7ACC2D5D0D1 |
SHA-256 | AA93F70397E77ACB8F0CBA85731374CAA2BA65580C65EC056E5F9E2C4B3A70AE |
SSDEEP | 48:XJ34MXqkiocjBmIGTOjT2Jkri27kUnlF8ux4czXG57DeBw0BJ8RSjnSSwF:OMRiocNmIGTA6o7FYA/zXyv49BJ4ESSG |
TLSH | T170513BD42AEA0824D6106DF4E5C67967EEDDF0EC3784EE012300A829564BCC2E64CC63 |
Key | Value |
---|---|
FileName | ./usr/share/man/man1/gdal_retile.1.gz |
FileSize | 1817 |
MD5 | D95DA573427C8FC28770140B32BA1949 |
SHA-1 | 1206124E14C2FE636DF03D2AF74EBDF2E70457C9 |
SHA-256 | 40D07230A7EF6F05157B18EFA27A53E5B04E46149D06DD91F5B9F19C393B493B |
SSDEEP | 48:X70fJgFilBtkpCtPvMqUrrnlauggmIaJCtAjfXDne:ofJSilsCVmla6eCtcfDe |
TLSH | T199310B590F1DC34721F5D25AC1D9769E1F54EE28A411728E372CC4940460E49B6578C6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/ogr2vrt.py.gz |
FileSize | 2464 |
MD5 | 40D231E83A6BDFE840B4D77EF1A5FF0B |
SHA-1 | 13D4064FD83F5E1E679C3ABE280627BDD9F4F893 |
SHA-256 | 21CE9B8E7E628245D3E233F267A90B68496296493ECCF23281CFF047FEBE9FDE |
SSDEEP | 48:XlCNuW1qhxAlf3wBAGKWUXZAkZDb0boBD8RFMX/RrtHr/dUI:1CHqhxA93wBFSWkZsUBD8R2PR5+I |
TLSH | T10E516BCF3ECBCE1EB77550F31C1A2AED182C5EA2897BE7B4C29E04558A2B0840381C30 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/crs2crs2grid.py.gz |
FileSize | 4100 |
MD5 | 59B9626C5788EA9868BDB39077A36865 |
SHA-1 | 169688F471D50FDB6783F258BA0CD75F2CD68F8F |
SHA-256 | 3D29C09AC8182DA3FE019D5DD8378556D87751BE2132C2E98D1567B89304E27F |
SSDEEP | 96:MzIrZobvVQtAxlETk9dCLKdRhKEdC8ztNWeAh9V:M0CvVQCUudRh/dCM/WeSV |
TLSH | T17E816C6901602E07CEE21B4A5D2625EA0C70087BFA287F3B4D7461270BD1ACFC1BB947 |
Key | Value |
---|---|
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 |
Key | Value |
---|---|
FileName | ./usr/bin/esri2wkt.py |
FileSize | 2107 |
MD5 | B710DF8D3ACBDCCDC0BE9640ABE06680 |
SHA-1 | 1DC68B4A93BA849457671E9F2254475239CC92AE |
SHA-256 | 7FE18C811BA457F1EF7DFF57DFA68D758644A4256B8202CAB3AB2BB4E0563260 |
SSDEEP | 48:OFj3ITvGLJ2kvEdwQHR1s5VEH3o7FHMlkTrLjz2o:OFj36MsyQHLoakTTCo |
TLSH | T1C841B91B79950FB2259306D848AD94CC611EB55B392A3784719CF361272F019D2FBD34 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/load2odbc.py.gz |
FileSize | 2109 |
MD5 | A362E38E47C55F5B3985DDBAB7136B1D |
SHA-1 | 22CBA964C759A5DC17A6B84F7A22E2E50A176389 |
SHA-256 | 8B3AF2E2452BC291DF5C8275703DE34B8EF91FC9B8EFF9850227EB4FBC972D8E |
SSDEEP | 48:XK3jiBiruhmT0Vv+pvP2xhOBx2J/5A03pZx7eaz9:aBruODhPdBx2pVpmw |
TLSH | T198414C08187A61032529D11C8CBC38F5FD83743D1BB337E2039EE718E58953AD24875A |
Key | Value |
---|---|
FileName | ./usr/bin/gdal_edit.py |
FileSize | 6567 |
MD5 | D7E42C4DF2847E0DEC6367389E702FAE |
SHA-1 | 25331556B26103C462B2A71762166403559E9B84 |
SHA-256 | 7056C4B91323DE8130482696750B9687C110FD110CD4960305026AB6A1FAB764 |
SSDEEP | 96:GFpTsOQHLocfMb+pdtVxEbCysceooip3V4d0hcZJkZVrsHR:mVQHLpfDdbyb/eoJ32q7rsHR |
TLSH | T168D150092A5182769B5745EF08EA88454259BA1B3E172538BD0CEAC42F20575F3B3BE7 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/gdalinfo.py.gz |
FileSize | 5252 |
MD5 | C2E3EF1C047F30AD83EEC5605F953A86 |
SHA-1 | 26177534E7B902DE2BE25D06C5D7D06A2471A974 |
SHA-256 | E50FFAA863FDE21825682A31FB3C385D81102D8E8DBADCFFEA3E3CF94F19C1C0 |
SSDEEP | 96:Xy6AKNN125NPR1BCrhqdWQ51tukK+xBq3pDJ/yfOv7pFvMu:Xy1tOVqn1HKdvQOvnr |
TLSH | T1FDB180901B796B0DE06F7266C7E0109661C3AD192A51E2FC1E1CE0FBDCD4A458C73A74 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/gdalfilter.py.gz |
FileSize | 2016 |
MD5 | 4D253063065C55E8C60764E1ECD21E74 |
SHA-1 | 2762C16B0718532294770EB6CE518E7A029C23C7 |
SHA-256 | F08A20FDF57FB63D579A0763A82DB50505003708A43D2E6B9BBC9B86BE4612E2 |
SSDEEP | 48:X/55umRR7eSOW+N7QFmV+m1vG6DFBDr9NiF3uwMtz4UI:RBFYjV+mxLBBDr9Ni5VWzC |
TLSH | T1B041F8ED4D17149F529121B1C2B2795EC42C91827804C878ADA9597F5B8494F2136AF8 |