Estimation of Tropical Forest Structural Characteristics Using ALOS-2 SAR Data

作     者：Luong Viet Nguyen Ryutaro Tateishi Hoan Thanh Nguyen Ram C. Sharma Tu Trong To Son Mai Le Luong Viet Nguyen;Ryutaro Tateishi;Hoan Thanh Nguyen;Ram C. Sharma;Tu Trong To;Son Mai Le

作者机构：Center for Environmental Remote Sensing Chiba University Chiba Japan Space Technology Institute Vietnam Academy of Science and Technology Hanoi Vietnam Institute of Geography Vietnam Academy of Science and Technology Hanoi Vietnam 

出 版 物：《Advances in Remote Sensing》 (遥感技术进展（英文）)

年 卷 期：2016年第5卷第2期

页      面：131-144页

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Forest Structure Forest Biomass SAR ALOS-2 Backscattering Intensity Sensitivity Analysis 

摘      要：The potential of ALOS-2 SAR data for the estimation of tropical forest structural characteristics was assessed in Vietnam by collecting forest inventory data. The effect of polarization and seasonality of the SAR data on the estimation of forest biomass was analyzed. The combination of HH, HV, and HH/HV polarizations using multiple linear regression did not improve the estimation of biomass compared to using the HV channel independently, as the HH and HH/HV variables were not statistically significant. The dry season HV backscattering intensity was highly sensitive to the biomass compared to the rainy season backscattering intensity. The SAR data acquired in the rainy season with humid and wet canopies was not very sensitive to the biomass. The strong dependence of the biomass estimates with the season of SAR data acquisition confirmed that the choice of right season SAR data is very important for improving the satellite based estimates of the biomass. The validation results showed that the dry season HV polarization could explain 54% variation of the biomass.