The Remote Sensing and GIS Software Library (RSGISLib)

Peter Bunting*, Daniel Clewley, Richard M. Lucas, Sam Gillingham

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

93 Citations (SciVal)

Abstract

Key to the successful application of remotely sensed data to real world problems is software that is capable of performing commonly used functions efficiently over large datasets, whilst being adaptable to new techniques. This paper presents an open source software library that was developed through research undertaken at Aberystwyth University for environmental remote sensing, particularly in relation to vegetation science. The software was designed to fill the gaps within existing software packages and to provide a platform to ease the implementation of new and innovative algorithms and data processing techniques. Users interact with the software through an XML script, where XML tags and attributes are used to parameterise the available commands, which have now grown to more than 300. A key feature of the XML interface is that command options are easily recognisable to the user because of their logical and descriptive names. Through the XML interface, processing chains and batch processing are supported. More recently a Python binding has been added to RSGISLib allowing individual XML commands to be called as Python functions. To date the Python binding has over 100 available functions, mainly concentrating on image utilities, segmentation, calibration and raster GIS. The software has been released under a GPL3 license and makes use of a number of other open source software libraries (e.g., GDAL/OGR), a user guide and the source code are available at http://www.rsgislib.org.
Original languageEnglish
Pages (from-to)216-226
Number of pages11
JournalComputers and Geosciences
Volume62
Early online date19 Sept 2013
DOIs
Publication statusPublished - Jan 2014

Keywords

  • Software
  • Remote sensing
  • GIS
  • Raster
  • Vector
  • Open source
  • PULSED-LASER SYSTEMS
  • TERRESTRIAL ENVIRONMENTS
  • FOREST COMMUNITIES
  • FILE FORMAT
  • LIDAR DATA
  • CLASSIFICATION

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