Change detection using the integration of remote sensing and GIS: A polygon based approach

Research output: Contribution to journalConference articlepeer-review

Abstract

A per polygon image analysis scheme for detecting the changes in land cover conditions within existing land use boundaries stored as vector polygons in a Geographic Information System (GIS) is described. The scheme consists of three main steps: integration of remotely sensed and geographic data, the statistical testing of the pixels, and the assessment of the results. Change detection in the image is facilitated by a geographic database which contains the land use polygons and the attributes associated with them. The imagery is analysed in a polygon specific manner. The scheme provides a means to analyze the remotely sensed data by spatially related information stored in a database and the manipulative processing operations which a GIS supports. The concept is demonstrated by an example on the monitoring of the development of tree plantations.

Original languageEnglish
Pages (from-to)560-564
Number of pages5
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume33
Publication statusPublished - 2000
Externally publishedYes
Event19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands
Duration: 16 Jul 200023 Jul 2000

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Change detection
  • Database updating
  • Image analysis
  • RS/GIS integration

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