Forskning ved Københavns Universitet - Københavns Universitet


Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning

Publikation: Bidrag til tidsskriftKonferenceartikelForskning

A large rapidly growing city like Bangkok requires effective means of extracting spatial information in order to develop a realistic understanding of the current state of the land and housing markets. This study evaluates the potentials of using high resolution satellite images as a source of information for land use mapping within the context of urban planning. Standard data acquisition methods, i.e. use of aerial photographs, are compared to satellite image analysis which is appropriate for mapping the overall spatial development of the urban areas. The digital representation of data permits fast computation of various statistics, including growth of different land use classes, degree of urbanization etc. A prototype for an automatic expert system-based classification method using texture and context information is described. The method is used to produce an urban land use map for a test area covering the central and western parts of Bangkok.

TidsskriftProceedings of the International Symposium on Remote Sensing of Environment
Sider (fra-til)807-813
Antal sider7
StatusUdgivet - 1 dec. 1990
BegivenhedProceedings of the 23rd International Symposium on Remote Sensing of Environment - Bangkok, Thail
Varighed: 18 apr. 199025 apr. 1990


KonferenceProceedings of the 23rd International Symposium on Remote Sensing of Environment
ByBangkok, Thail
SponsorEnvironmental Reseach Inst of Michigan, USA, Asian Assoc on Remote Sensing, Jpn, Asian Development Bank, Philipp, Asian Inst of Technology, Thail, Earth Observation Satellite Co, USA, et al

ID: 202033739