文献类型：会议论文

英文题名：REGIONAL FOREST ABOVE-GROUND BIOMASS RETRIEVAL BY OPTIMIZED K-NN ALGORITHM IN NORTHEAST CHINA

作者：Tian, Xin[1,2] Chen, Erxue[1] Li, Zengyuan[1] Su, Z. Bob[2] Bai, Lina[1] van der Tol, Christiaan[2]

第一作者：Tian, Xin;田昕

通信作者：Tian, X[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Univ Twente, Fac Geo Informat Sci & Earth Observ, NL-7500 AE Enschede, Netherlands

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

会议日期：JUL 21-26, 2013

会议地点：Melbourne, AUSTRALIA

语种：英文

外文关键词：k-NN method; forest above-ground biomass; optimized configuration

年份：2013

摘要：This study explores retrieval of wall-to-wall forest above-ground biomass (AGB) over Jilin province in Northeast China, using the optimized non-parametric k-NN method, the 7th National Forest Inventory (NFI) data, and the remote sensing data: Landsat-TM/ETM+ images. For pixel-based validation, the estimated result was compared to the NFI data by leave-one-out process and R-2 = 0.40 and RMSE = 54.29 tons/hm(2). For county-scale validation, the result was verified by the intensive forest sub-compartment data of eight county and R-2 = 0.80 and RMSE = 34.26 tons/hm(2).