文献类型：会议论文

英文题名：THE SYNERGETIC ESTIMATION APPROACH OF FOREST ABOVE GROUND BIOMASS BASED ON X-BAND INSAR AND P-BAND POLSAR DATA

作者：Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[2] Fan, Yaxiong[1] Wan, Xiangxing[1]

第一作者：赵磊

通信作者：Li, ZY[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing, Peoples R China;[2]Southwest Forestry Univ, Coll Forestry, Kunming, Yunnan, Peoples R China

会议论文集：38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 22-27, 2018

会议地点：Valencia, SPAIN

语种：英文

外文关键词：Terrain correction; Multi-dimensional SAR; Forest above ground biomass; InSAR; PolSAR

年份：2018

摘要：In this paper, we studied the synergetic estimation approach of forest above ground biomass (AGB) based on the multidimensional SAR data (dual antenna X-band InSAR and P band PolSAR data) that acquired by air-borne CASMSAR system of China. Firstly, the high-resolution DSM data of the experimental area was acquired from the X-InSAR data. Then, based on the filtered DSM, the terrain correction of PPo1SAR data and X-InSAR coherence was completed. Finally, forest AGB was estimated based on the characteristics of multi-dimensional SAR that after the terrain correction. The experimental results showed that the combined multi-dimensional SAR features can obtain higher estimation accuracy than the single-dimensional SAR features. Compared to only using P-Po1SAR features and XInSAR coherence feature, the accuracy of combined estimation approach was improved by 6.4% and 5.1%, respectively.