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

Abstract

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.