文献类型：会议论文

英文题名：RETRIEVAL OF FOREST ABOVE GROUND BIOMASS USING AUTOMATIC KNN MODEL

作者：Li Chunmei[1,2] Tian Xin[2] Li Zengyuan[2] Chen Erxue[2] Zhang Wangfei[1]

第一作者：Li Chunmei;李春明

通信作者：Zhang, WF[1]|[a000586c23f5595b87d01]张王菲;

机构：[1]Southwest Forestry Univ, Coll Forestry, Bailongsi St 300, Kunming 650224, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

会议论文集：36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 10-15, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：biomass; AKNN; estimation

年份：2016

摘要：Forest is an important component of terrestrial ecosystems, so it is necessary to estimate the forest aboveground biomass (AGB) accurately in order to reduce the uncertainty of the carbon stock in forest ecosystem. In this study, a fast, efficient and automatic method has been proposed, called as Automatic KNN(AKNN). Using the Landsat 8 OLI data, airborne polmetric SAR (PolSAR) data, the AKNN has been applied to estimate the forest AGB and stem volume at two levels, the pixel and the subcompartment levels, respectively. The results showed that the power of AKNN in quantitative retrieval at two levels(R-2 = 0.75, RMSE= 23.43t/ha; R-2 = 0.52 and RMSE= 21.86m(3) /ha, respectively)