文献类型：期刊文献

英文题名：Forest stand biomass estimation using ALOS PALSAR data based on LiDAR-derived prior knowledge in the Qilian Mountain, western China

作者：He, Qi-Sheng[1,2,3] Cao, Chun-Xiang[1] Chen, Er-Xue[4] Sun, Guo-Qing[1] Ling, Fei-Long[4] Pang, Yong[4] Zhang, Hao[1] Ni, Wen-Jian[1,3] Xu, Min[1,3] Li, Zeng-Yuan[4] Li, Xiao-Wen[1]

第一作者：He, Qi-Sheng

通信作者：Cao, CX[1]

机构：[1]Inst Remote Sensing Applicat Chinese Acad Sci & B, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China;[2]Hohai Univ, Sch Earth Sci & Engn, Dept Geog Informat Sci, Nanjing 210098, Peoples R China;[3]Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

年份：2012

卷号：33

期号：3

起止页码：710-729

外文期刊名：INTERNATIONAL JOURNAL OF REMOTE SENSING

收录：;EI(收录号：20121114866736);Scopus(收录号：2-s2.0-84863246807);WOS:【SCI-EXPANDED(收录号:WOS:000301392300004)】；

基金：The ALOS PALSAR data were provided by JAXA through the ALOS PI project (no. 315). This article has been supported by the National State Key Basic Research Project (grant no. 2007CB714404), the Natural Science Foundation of China (grant no. 40871173), a Special Grant For Prevention and Treatment of Infectious Diseases (grant no. 2008ZX10004-012) and the Key Science and Technology R&D Programme of Qinghai Province (grant no. 2006-6-160-01). The authors also wish to thank all the people who participated in the field experiment and all the people who have given help for the article.

语种：英文

外文关键词：Backscattering - Forestry - Optical radar - Polarization - Synthetic aperture radar

摘要：Studies are needed to evaluate the ability of Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) for forest aboveground biomass (AGB) extraction in mountainous areas. In this article, forest biomass was estimated at plot and stand levels, and different biomass grades, respectively. Light detection and ranging (LiDAR) data with about one hit per m(2) were first used for forest biomass estimation at the plot level, with R-2 of 0.77. Then the LiDAR-derived biomass, as prior knowledge, was used to investigate the relationship between ALOS PALSAR data and biomass. The results showed that at each biomass level, the range of the back-scatter coefficient in HH and HV polarization (where H and V represent horizontal and vertical polarizations, respectively, and the first of the two letters refers to the transmission polarization and the second to the received polarization) was very large and there was no obvious relationship between the synthetic aperture radar (SAR) back-scatter coefficient and biomass at plot level. At stand level and in different biomass grades, the back-scatter coefficient increased with the increase of forest biomass, and a logarithm equation can be used to describe the relationship. The main reason may be that forest structure is complex at the plot level, while the average value could partly decrease the influence of forest structure at stand level. Meanwhile, terrain radiometric correction (TRC) was investigated and found effective for forest biomass estimation.