文献类型：期刊文献

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.

机构：[1] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Wanshoushanhou, 100091, Beijing, China; [2] Faculty of Geo-Information Science and Earth Observation, University of Twente, Hengelosestraat 99, 7500 AA, Enschede, Netherlands

年份：2013

起止页码：979-982

外文期刊名：International Geoscience and Remote Sensing Symposium (IGARSS)

收录：EI(收录号：20140917388461)

语种：英文

外文关键词：Forestry - Biomass - Geology - Nearest neighbor search

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 R2 = 0.40 and RMSE = 54.29 tons/hm2. For county-scale validation, the result was verified by the intensive forest sub-compartment data of eight county and R2 = 0.80 and RMSE = 34.26 tons/hm2. ? 2013 IEEE.