The use of different remote sensing imagery to forest lands a case study: Belgrad forest


Musaoglu N., Kantarci M.

23rd Symposium of the European-Association-of-Remote-Sensing-Laboratories (EARSEL), Ghent, Belgium, 2 - 05 June 2003, pp.103-107 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Ghent
  • Country: Belgium
  • Page Numbers: pp.103-107

Abstract

In this study, having rich forest types, Belgrad Forest, located on the European side of Istanbul, has been selected as study area. In determining the tree stand types, LANDSAT TM, IRS 1C and LISS 3 satellite images have been used. In order to study the condition of the area and the changes, image enhancement and classification algorithms have been applied to satellite images. In differentiating types of forest through satellite images, image classification algorithms based on field study were used. The results have been transferred to the database together with other data such as forest map, soil map, geological map and digital elevation model in order to set up geographic information system.