文献类型：会议论文

英文题名：FOREST ABOVE GROUND BIOMASS ESTIMATION FROM P-BAND TOMOGRAPHY DATA

作者：Li, Lan[1] Chen, Erxue[1] Li, Zengyuan[1] Zhao, Lei[1] Gu, Xinzhi[1]

通信作者：Chen, EX[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing, Peoples R China

会议论文集：36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 10-15, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：forest above ground biomass; tomography; P-band; multivariate regression

年份：2016

摘要：Forest above ground biomass (AGB) retrieval by TomoSAR technology has been preliminary studied over the last two years. Recent experiments have demonstrated that the backscattered power in HV channel at 30-m layer have strong correlation with the forest AGB, and be successfully used to build the estimation model. However, much progress remains necessary to make the best of the vertical distribution of the backscattered power. In this work, we proposed a multivariate regression equation to refine the AGB estimation model. The experiments were carried out on TropiSAR campaign data over the site of Paracou, French Guiana. As expected, the results demonstrate the relevance of the proposed method.