Modeling some stand parameters using vegetation ındices based on landsat ETM+ in Ayancık-Goldag planning unit, Turkey
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Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Artvin Çoruh Üniversitesi
Erişim Hakkı
Özet
Forest inventory data are needed for ecological, economic and social values of forest and all stages of forest management planning. Conventionally, forest inventory data has been collected primarily through field survey, which is expensive and time-consuming. However, remote sensing data has played a significant role in forestry studies for several decades, especially as a tool for obtaining about the forest inventory in large forest areas. Forest resource monitoring with Landsat TM and other moderate resolution sensors is a crucial module of a wide variety of forest applications. The attractiveness of Landsat data can be qualified to several basic characteristics of the Landsat satellite data, including low imagery costs and free data distribution facilitate widespread use a spatial resolution enough to characterize typical forest cover dynamics related to forest management. This study assessed the suitability of Landsat TM some vegetation indices for predicting forest stand parameters in northern Turkey. The empirical relationships between the forest stand parameters such as stand volume, basal area and tree density, and Landsat TM satellite image were obtained using stepwise multiple regression analysis. The results indicated moderate relationships (except for tree density) between stand parameters of forest and Landsat TM satellite image. The adjusted R2 values from the regression analysis using the vegetation indices for stand volume, basal area and tree density were found to be 0.530, 0.579 and 0.408, respectively.
Açıklama
Anahtar Kelimeler
Landsat TM satellite image, Stand parameters, Regression models, Vegetation indices
Kaynak
International Caucasian Forestry Symposium
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Günlü, A., Kahriman, A. and Ercanlı, İ. (2013). Modeling Some Stand Parameters Using Vegetation Indices Based on Landsat ETM+ in Ayancık-Goldag Planning Unit, Turkey, International Caucasian Forestry Symposium, 24-26.10.2013, Artvin, Turkey
