Automating the analysis of remotely-sensed data

Chris Skelsey, A. N. R. Law, Mark Winter, J. R. Lishman

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Land cover is a complex phenomenon, its appearance and transition influenced by the soil, topography, climate, politics, ecology, and other aspects of land use. An operational Study of land-cover change must consider such factors, and, if automation is to be employed, a new approach to software architecture and reasoning is required. The Macaulay Institute has developed the concept of task orientation as a means of supporting such work, and is currently investigating its utility in the update of the Land Cover of Scotland (1988) dataset. This paper describes the motivation behind the development of ETORA-II, an operational toolkit providing a task-orientated capability, and SYMOLAC-II, a proof-of-concept application. The final aim of this work is to produce an environmental information system for Scotland's land cover.

Original languageEnglish
Pages (from-to)341-350
Number of pages10
JournalPhotogrammetric Engineering and Remote Sensing
Volume70
Issue number3
Publication statusPublished - Mar 2004

Fingerprint

Software architecture
Ecology
Land use
Topography
land cover
Information systems
Automation
Soils
automation
politics
topography
ecology
land use
software
analysis
climate
soil

Keywords

  • geographical information-systems
  • thematic mapper data
  • expert-system
  • land-cover
  • classification
  • GIS
  • integration
  • issues
  • images
  • model

Cite this

Skelsey, C., Law, A. N. R., Winter, M., & Lishman, J. R. (2004). Automating the analysis of remotely-sensed data. Photogrammetric Engineering and Remote Sensing, 70(3), 341-350.

Automating the analysis of remotely-sensed data. / Skelsey, Chris; Law, A. N. R.; Winter, Mark; Lishman, J. R.

In: Photogrammetric Engineering and Remote Sensing, Vol. 70, No. 3, 03.2004, p. 341-350.

Research output: Contribution to journalArticle

Skelsey, C, Law, ANR, Winter, M & Lishman, JR 2004, 'Automating the analysis of remotely-sensed data' Photogrammetric Engineering and Remote Sensing, vol. 70, no. 3, pp. 341-350.
Skelsey C, Law ANR, Winter M, Lishman JR. Automating the analysis of remotely-sensed data. Photogrammetric Engineering and Remote Sensing. 2004 Mar;70(3):341-350.
Skelsey, Chris ; Law, A. N. R. ; Winter, Mark ; Lishman, J. R. / Automating the analysis of remotely-sensed data. In: Photogrammetric Engineering and Remote Sensing. 2004 ; Vol. 70, No. 3. pp. 341-350.
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