文献类型：期刊文献

英文题名：Estimation of shrubland aboveground biomass of the desert steppe from optical and C-band SAR data

作者：Wang, X. Y.[1,2] Pan, P. P.[3] Lu, J.[4]

第一作者：Wang, X. Y.

通信作者：Wang, XY[1];Pan, PP[2]

机构：[1]Ningxia Univ, State Key Lab Land Degradat & Ecol Restorat North, Breeding Base, Yinchuan, Ningxia, Peoples R China;[2]Ningxia Univ, Key Lab Restorat & Reconstruct Degraded Ecosyst N, Minist Educ, Yinchuan, Ningxia, Peoples R China;[3]Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang, Hebei, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing, Peoples R China

年份：0

外文期刊名：GEOCARTO INTERNATIONAL

收录：;Scopus(收录号：2-s2.0-85101738187);WOS:【SCI-EXPANDED(收录号:WOS:000622211700001)】；

基金：This research was funded by Ningxia University first-class discipline funds (Project No. GZXM2017001), the Natural Science Foundation of Ningxia Province (Project No. NZ17040), the Key Research and Development Program of Ningxia Province (Project No. 2018BFG02015), and the Key Foundation for Natural Science of Heibei Normal University (Project No. L2019Z09).

语种：英文

外文关键词：Desert steppe; shrubland; HJ1B; RADARSAT-2; aboveground biomass (AGB)

摘要：Accurately estimating the shrubland aboveground biomass (AGB) of the desert steppe and understanding its dynamic changes are vitally important for studying the regional carbon cycle and sustainable use of grassland resources. Synthetic aperture radar (SAR) data are seldom applied to estimate shrubland AGB, particularly in arid and semiarid desert steppe landscapes. The main objective of this study was to model shrubland AGB in arid and semiarid desert steppe regions with HJ1B and RADARSAT-2 C-band data. The main species was Caragana microphylla, one of the most widespread shrubs in desert grasslands. Three regression models based on stepwise multiple linear regression (SMLR), partial least squares regression (PLSR) and random forest regression (RFR) were developed between the measured AGB and radar backscatter coefficient, vegetation indices and texture information. The three methods were compared, and their performance was evaluated for the estimation of shrubland AGB from HJ1B and RADARSAT-2 data. The results show that SAR can produce higher accuracy with R-2 = 0.34-0.42 than PLSR and RFR in arid and semiarid desert steppe regions. The RF results were slightly worse than those of SMLR and PLSR for sparse vegetation. The use of C-band SAR data to monitor dynamic changes in shrubland AGB in northern China will be of great value.