文献类型：会议论文

英文题名：FOREST AGB ESTIMATION BASED ON TOMOSAR BACKSCATTER POWER DISTRIBUTION LAW OF AIRBORNE P-BAND DATA

作者：Wan, Xiangxing[1,2,3] Ge, Daqing[1,3] Chen, Erxue[4] Zhang, Li[1,2,3] Liu, Bin[1,3] Liu, Qingqing[5]

第一作者：Wan, Xiangxing

通信作者：Wan, XX[1];Wan, XX[2];Wan, XX[3]

机构：[1]China Aero Geophys Survey & Remote Sensing Ctr Na, Beijing, Peoples R China;[2]Minist Nat Resources, Key Lab Airborne Geophys & Remote Sensing Geol, Beijing, Peoples R China;[3]Minist Nat Resources, Technol Innovat Ctr Geohazard Identificat & Monit, Beijing, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing, Peoples R China;[5]Chinese Res Inst Environm Sci, Beijing, Peoples R China

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

会议日期：JUL 07-12, 2024

会议地点：Athens, GREECE

语种：英文

外文关键词：TomoSAR; Forest AGB; Backscatter Power; vertical profiles; Features of AGB Estimation

年份：2024

摘要：The TomoSAR technique has been applied to forest aboveground biomass ( forest AGB) estimation studies, but existing studies make insufficient use of the forest structure information detected by TomoSAR. In this paper, we proposed a forest AGB estimation method based on TomoSAR backscattered power distribution law. The method uses the TomoSAR vertical profiles calculated by the Beamforming spectral analysis algorithm to extract the backscattered power for fitting in order to obtain the power curve. Then the distribution law was summarized by analyzing the variation of backscattered power distribution at different forest AGB levels. Based on the distribution law of backscattered power, two new forest AGB estimation features, BPC-4 and GVPR-19, are proposed. After modeling and validation, the results show that the forest AGB estimation model built with BPC-4 and GVPR-19 as variables can have better accuracy compared to the models built with the features proposed in previous studies.