Supriya Ghosh (Editor)

GDAL

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Original author(s)
  
Frank Warmerdam

Written in
  
C, C++

GDAL

Developer(s)
  
Open Source Geospatial Foundation

Initial release
  
8 June 2000; 16 years ago (2000-06-08)

Stable release
  
2.1.3 / 20 January 2017;45 days ago (2017-01-20)

Repository
  
trac.osgeo.org/gdal/wiki/DownloadSource

The Geospatial Data Abstraction Library (GDAL) is a computer software library for reading and writing raster and vector geospatial data formats, and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It may also be built with a variety of useful command line interface utilities for data translation and processing. Projections and transformations are supported by the PROJ.4 library.

Contents

The related OGR library (OGR Simple Features Library), which is part of the GDAL source tree, provides a similar ability for simple features vector graphics data.

GDAL was developed mainly by Frank Warmerdam until the release of version 1.3.2, when maintenance was officially transferred to the GDAL/OGR Project Management Committee under the Open Source Geospatial Foundation.

GDAL/OGR is considered a major free software project for its "extensive capabilities of data exchange" and also in the commercial GIS community due to its widespread use and comprehensive set of functionalities.

Software using GDAL/OGR

Several software programs use the GDAL/OGR libraries to allow them to read and write multiple GIS formats. Such programs include:

  • ArcGIS – Uses GDAL for custom raster formats
  • Biosphere3D – Open source landscape scenery globe
  • Biotop Invent
  • ENVI – Remote Sensing software
  • ERDAS APOLLO - Image Server and remote sensing geo-services
  • ERDAS GeoCompressor - Image compression to ECW and JP2 formats
  • Geoconcept integrated GDAL in its 7.1 release
  • FWTools – A cross-platform open source GIS software bundle compiled by Frank Warmerdam
  • gdaltokmz – A Python module translating from GDAL-supported raster graphics formats to the Google Earth KMZ format
  • GeoDjango – Django's support for GIS-enabled databases
  • GeoView Pro – iOS mobile mapping application
  • Google Earth – A virtual globe and world imaging program
  • GRASS GIS
  • gvSIG
  • JMap
  • MangoMap
  • MapServer
  • World Wind Java – NASA's open source virtual globe and world imaging technology
  • Open Source Geospatial Foundation (OSSIM) – Libraries and applications used to process imagery, maps, terrain, and vector data
  • OpenEV – Geospatial toolkit and a frontend to that toolkit; to display georeferenced images and elevation data
  • Orfeo toolbox – A satellite image processing library
  • QGIS
  • R – An open source statistical software with extensions for spatial data analysis.
  • SAGA GIS – A cross-platform open source GIS software
  • TopoQuest – Internet topographic map viewer
  • Rolta Geomatica software

    • Supported raster data formats

    As of version 1.9.0, GDAL provides at least partial support for more than 120 raster geospatial data formats. The next version is expected to provide up to 200 drivers. A subset of data formats is supported to ensure the ability to directly create files and georeferencing them with the default GDAL compiling options.

    Here follows the list of data formats whose support is, by default, compiled to allow creation and georeferencing.

    References

    GDAL Wikipedia
    (Text) CC BY-SA


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