文献类型：会议论文

英文题名：TROPICAL FOREST ABOVEGROUND BIOMASS ESTIMATION BASED ON VERTICAL STRUCTURES EXTRACTED WITH TOMOSAR

作者：Li, Wenmei[1] Chen, Huaihuai[1] Zhang, Yu[1] Chen, Erxue[2,3]

第一作者：Li, Wenmei

通信作者：Chen, EX[1];Chen, EX[2]

机构：[1]Nanjing Univ Posts & Telecommun, Sch Geog & Biol informat, Nanjing, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]NFGA, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China

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

会议日期：JUL 17-22, 2022

会议地点：Kuala Lumpur, MALAYSIA

语种：英文

外文关键词：TomoSAR; tropical forest above-ground biomass; forest vertical structure; forest height; vertical structure parameters; support vector regression

年份：2022

摘要：The objective is to estimate forest above-ground biomass (AGB) considering the vertical structures of tropical forest in Mondah test site. Ten DLR F-SAR P-band fully polarized images are utilized to reconstruct the vertical reflectivity through TomoSAR techniques, and then extract multi-feature parameters from vertical profiles of reflectivity, finally these parameters are used for forest AGB estimation with support vector regression (SVR) approach. The results show that the method we proposed for tropical forest AGB estimation is effective and accurate in our test site.