yavaşli, doğukan doğu ahi evran üniversitesi - fen – edebiyat fakültesi - coğrafya bölümü, Turkey , franks, shannon stinger ghaffarian technologies, inc. (sgt inc.) - nasa goddard space flight center, USA

DETECTING TRENDS IN FOREST DISTURBANCE AND RECOVERY USING LANDSAT IMAGERY IN TURKEY

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Forest disturbance and recovery plays an important role for forest ecosystem management. Understanding the temporal and spatial pattern of these processes is crucial as they affect the carbon flux between atmosphere and biosphere. In this study, the disturbance and recovery processes of forests in Turkey between the years 2000-2010 were detected by Landsat imagery using the LEDAPS Disturbance Index (DI) algorithm. We used validation data collected by field works and achieved 90% overall accuracy with 32 observation points for our resulting map. The comparison with various high resolution data also demonstrated that the DI algorithm can be effectively used to detect forest disturbance and recovery processes in Turkey.

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Forest disturbance , Forest recovery , Landsat

Aegean Geographical Journal

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