کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7478007 1485205 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of forest cutting in managed forest of Haldwani, India using ALOS-2/PALSAR-2 SAR data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Identification of forest cutting in managed forest of Haldwani, India using ALOS-2/PALSAR-2 SAR data
چکیده انگلیسی
Large-scale forest clear-cut identification is one of the major application of remote sensing techniques. ALOS-2/PALSAR-2 is the latest SAR satellite providing multi-polarized L-band SAR data. With increasing deforestation, it is important to assess the potential of SAR data for identifying clear-cuts in forest regions. In this research work, multi-temporal ALOS-2/PALSAR-2 SAR data and supplementary Landsat-8 optical data sets are acquired over Indian tropical forest, and SAR parameters are analysed over a progressively clear-cut Teak plantation. Sensitivity of the SAR parameters to progressive clear-cuts is estimated and found that the cross-polarized backscatter σHV0 and entropy parameter H are most sensitive to both partial and complete clear-cut in forest compartments. An entropy thresholding based classification is carried out to identify clear-cut regions with a good accuracy. The study highlights the utility of SAR parameters to monitor forest clear-cuts for better forest management.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Environmental Management - Volume 213, 1 May 2018, Pages 503-512
نویسندگان
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