Akademik Veri Yönetim Sistemi
28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote Sensing for a Changing Europe, İstanbul, Türkiye, 2 - 05 Haziran 2008, ss.571-577
The detection and monitoring of land use / land cover change using satellite multispectral imagery has been a topic of interest in remote sensing. Different techniques, mostly grouped into two general classes which are based on spectral categorization (classification) and based on radiometric change, for accomplishing change detection have been formulated, applied and evaluated in many environmental applications. Change vector analysis is an effective approach for detecting and characterizing land cover change that processes and analyses change in all multi-spectral and multi-temporal data. In this context, the main objective of this paper is to authenticate the land cover change based on a radiometric technique, Change Vector Analysis (CVA) for the Belek forest, Antalya.