Investigation the distribution of vegetation in Turkey by using remote sensing data and GIS

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In this study which is based on the information taken from the map of Soil Conservation and Management Master Plan of Turkey published by the Ministry of Agriculture Forestry and Rural Affairs in 1987, all major soil groups were digitized and stored in a computer. After transferring process, the data in a GIS software have been used with different data such as main characteristics of the soils, provincial borders and settlements. For the pilot study, Thrace region, which is located in the North-West part of Turkey has been selected. In order to determine agricultural lands, forests, settlements and pastures in this area, Landsat TM dated 1992 and SPOT PAN images dated 1993 have been used. For using these data in the same GIS software, remote sensing data have been transferred into UTM coordinate system and image enhancement and classification techniques were used. Obtained information is transferred into GIS software and evaluated together with the other information. Joint use of GIS techniques applied to conventional mapping data and remote sensing data is an efficient tool for the decision-makers about the soil resources.

Original languageEnglish
Pages (from-to)1357-1363
Number of pages7
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume33
Publication statusPublished - 2000
Event19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands
Duration: 16 Jul 200023 Jul 2000

Bibliographical note

Publisher Copyright:
© 2000 International Society for Photogrammetry and Remote Sensing. All rights reserved.

Keywords

  • GIS
  • Remote sensing
  • Soil Map

Fingerprint

Dive into the research topics of 'Investigation the distribution of vegetation in Turkey by using remote sensing data and GIS'. Together they form a unique fingerprint.

Cite this