Multitemporal satellite data in forest mapping around Istanbul

Coskun G., Ormeci C., Musaoğlu N., Kaya S., Asan U., Yesil A.

17th EARSeL Symposium on Future Trends in Remote Sensing, LYNGBY, Denmark, 17 - 19 June 1997, pp.287-294 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: LYNGBY
  • Country: Denmark
  • Page Numbers: pp.287-294
  • Istanbul Technical University Affiliated: Yes


This paper describes a methodology for stand type mapping of a selected forest area using satellite-borne remote sensing interpretation techniques. The methodology is being developed as STCLSD (Stand Type Classification from Landsat-TM and SPOT Satellite Data) project, in the, Remote Sensing Laboratory at the Civil Engineering Faculty of Technical University of Istanbul. Which is approximately 8000 hectares.