Progresses on SAR Remote Sensing of Tropical Forests:Forest Biomass Retrieval and Analysis of Changing Weather Conditions  

作　　者：Stefano TEBALDINI Xinwei YANG Yu BAI Mauro Mariotti D’ALESSANDRO Mingsheng LIAO Wen YANG 

机构地区：[1]DEIB,Politecnico di Milano,Milan 20133,Italy [2]LIESMARS,Wuhan University,Wuhan 430079,China [3]School of Electronic Information,Wuhan University,Wuhan 430072,China

出　　处：《Journal of Geodesy and Geoinformation Science》2021年第1期88-93,共6页测绘学报（英文版）

摘　　要：This paper is intended to report on the progresses made during the Dragon-4 project Three and Four-Dimensional Topographic Measurement and Validation(ID:32278),sub-project Multi-baseline SAR Processing for 3 D/4 D Reconstruction(ID:322782).The work here reported focuses on two important aspects of SAR remote sensing of tropical forests,namely the retrieval of forest biomass and the assessment of effects due to changing weather conditions.Recent studies have shown that by using SAR tomography the backscattered power at 30 m layer above the ground is linearly correlated to the forest Above Ground Biomass(AGB).However,the two parameters that determine this linear relationship might vary for different tropical forest sites.For purpose of solving this problem,we investigate the possibility of using Li DAR derived AGB to help training the two parameters.Experimental results obtained by processing data from the Tropi SAR campaign support the feasibility of the proposed concept.This analysis is complemented by an assessment of the impact of changing weather conditions on tomographic imaging,for which we simulate BIOMASS repeat pass tomography using ground-based Tropi SCAT data with a revisit time of 3 days and rainy days included.The resulting backscattered power variation at 30 m is within 1.5 d B.For this forest site,this error is translated into an AGB error of about 50~80 t/hm^(2),which is 20%or less of forest AGB.

关 键 词：tropical forest BIOMASS SAR tomography Li DAR temporal decorrelation 

分 类 号：S771.8[农业科学—森林工程]