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k-NN기법을 이용한 산림바이오매스 자원량 평가 -강원대학교 학술림을 대상으로-
서환석 ( Hwanseok Seo ),박동환 ( Donghwan Park ),임종수 ( Jongsu Yim ),이정수 ( Jungsoo Lee ) 한국산림과학회 2012 한국산림과학회지 Vol.101 No.4
This study purposed to estimate the forest biomass using k-Nearest Neighbor (k-NN) algorithm. Multiple data sources were used for the analysis such as forest type map field survey data and landsat TM data. The accuracy of forest biomass was evaluated with the forest stratification horizontal reference area (HRA) and spatial filtering. Forests were divided into 3 types such as conifers broadleaved and Korean pine (Pinus koriansis) forests. The applied radii of HRA were 4km 5km and 10km respectively. The estimated biomass and mean bias for conifers forest was 222 t/ha and 1.8 t/ha when the value of k=8 the radius of HRA was 4km and 5×5 modal was filtered. The estimated forest biomass of Korean pine was 245 t/ha when the value of k=8 the radius of HRA was 4km. The estimated mean biomass and mean bias for broadleaved forests were 251 t/ha and-1.6 t/ha respectively when the value of k=6 the radius of HRA was 10km. The estimated total forest biomass by k-NN method was 799.000t and 237 t/ha. The estimated mean biomass by kNN method was about 1t/ha more than of filed survey data.