Key | Value |
---|---|
FileName | ./usr/bin/esri2wkt.py |
FileSize | 2107 |
MD5 | B710DF8D3ACBDCCDC0BE9640ABE06680 |
SHA-1 | 1DC68B4A93BA849457671E9F2254475239CC92AE |
SHA-256 | 7FE18C811BA457F1EF7DFF57DFA68D758644A4256B8202CAB3AB2BB4E0563260 |
SSDEEP | 48:OFj3ITvGLJ2kvEdwQHR1s5VEH3o7FHMlkTrLjz2o:OFj36MsyQHLoakTTCo |
TLSH | T1C841B91B79950FB2259306D848AD94CC611EB55B392A3784719CF361272F019D2FBD34 |
hashlookup:parent-total | 8 |
hashlookup:trust | 90 |
The searched file hash is included in 8 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 |
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 |
Key | Value |
---|---|
FileSize | 380728 |
MD5 | 11BF8D9B4422F3F255795FD99FAEA4C8 |
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 | 1.10.1+dfsg-5ubuntu1 |
SHA-1 | 98051EB07AA14F2B201361F0F095621D30366F7C |
SHA-256 | 8475FAC6F9D642990FCB7B5B57BEF263CA1D39EDACD55D582406DD059A97D1BB |
Key | Value |
---|---|
FileSize | 497480 |
MD5 | 52C01632AAF66F78F1F5E204465B0804 |
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 | 9516A2232A01C6F2F7650C4C7B48FAF4C77EC3F1 |
SHA-256 | 01C3F1AD5C7952345E577F0665ECBCFAD0A782230B06B27F242D4D3F63941B0D |
Key | Value |
---|---|
FileSize | 471174 |
MD5 | 5D09EFF50C8045D868139D1E28367907 |
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 | 066611B1B1624DFE4243680F38002697A8891EE0 |
SHA-256 | 0C6D1A4C45B7A1EDA3BFD69693B9445AE8ABDD72307DF8C80D3A91EBD87D1102 |
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 | 363614 |
MD5 | 9CAD997197C2E06EEE31DB3D68B76990 |
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 | 1.10.1+dfsg-5ubuntu1 |
SHA-1 | 14B95F36CA1270BAF391173A44E1C42E76D8A98C |
SHA-256 | 5016C1B7D726260981597AF05D88451ED6EFA829C7FBA6D9E6B514285EF6E7EC |
Key | Value |
---|---|
FileSize | 503730 |
MD5 | 504661B5B31480E806F0B5C8252CC4AB |
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 | 2DB2F1DF9131A926DEDB04F26C52E2B55F2FEB0A |
SHA-256 | 50D280437A2BA6E5770E0C692D09A8680E0152AC913252B0BD7BE8712464C6CE |