A Change Vector Analysis Technique to Monitor Land-Use/Land-Cover in the Yildiz Mountains, Turkey
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Dosyalar
Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Parlar Scientific Publications (P S P)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents the method to detect the intensity of change and the dimension of change using Change Vector Analysis (CVA) method. The aim of this study is to confirm the changes in the Yildiz Mountains using proof from natural ecosystems (natural deciduous forest, wetland and sand dune ecosystems) and other various ecosystems ecologically significant all over Europe and Turkey by using the CVA technique. Two Landsat TM scenes recorded in 1990 and 2009 were used to minimize change detection error introduced by seasonal differences. Images were geometrically and atmospherically corrected. As a result of the ratings, it is observed that agricultural areas decreased by 17.5 and Crimean pine forests by 16.4% whereas oak forests increased by 4.1%. Ash trees, sand dunes and bare ground reflected insignificant changes, too.
Açıklama
Anahtar Kelimeler
CVA analysis, change detection, remote sensing, habitat monitoring, Unsupervised Change Detection, Ecology
Kaynak
Fresenius Environmental Bulletin
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
20
Sayı
5
