干旱区生态环境知识资源中心(Arid): Estimation of shrubland aboveground biomass of the desert steppe from optical and C-band SAR data

Arid

DOI	10.1080/10106049.2021.1886346
	Estimation of shrubland aboveground biomass of the desert steppe from optical and C-band SAR data
	Wang, X. Y.; Pan, P. P.; Lu, J.
通讯作者	Wang, XY (corresponding author), Ningxia Univ, State Key Lab Land Degradat & Ecol Restorat North, Breeding Base, Yinchuan, Ningxia, Peoples R China. ; Pan, PP (corresponding author), Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang, Hebei, Peoples R China.
来源期刊	GEOCARTO INTERNATIONAL
ISSN	1010-6049
EISSN	1752-0762
出版年	2021-02
英文摘要	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.
英文关键词	Desert steppe shrubland HJ1B RADARSAT-2 aboveground biomass (AGB)
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000622211700001
WOS关键词	LAND-COVER CLASSIFICATION ; LEAF-AREA INDEX ; ALOS PALSAR ; FOREST BIOMASS ; AIRBORNE LIDAR ; ENVISAT-ASAR ; REGRESSION ; VEGETATION ; LAI ; ALGORITHM
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352207
作者单位	[Wang, X. Y.] Ningxia Univ, State Key Lab Land Degradat & Ecol Restorat North, Breeding Base, Yinchuan, Ningxia, Peoples R China; [Wang, X. Y.] Ningxia Univ, Key Lab Restorat & Reconstruct Degraded Ecosyst N, Minist Educ, Yinchuan, Ningxia, Peoples R China; [Pan, P. P.] Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang, Hebei, Peoples R China; [Lu, J.] Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, X. Y.,Pan, P. P.,Lu, J.. Estimation of shrubland aboveground biomass of the desert steppe from optical and C-band SAR data[J],2021.
APA	Wang, X. Y.,Pan, P. P.,&Lu, J..(2021).Estimation of shrubland aboveground biomass of the desert steppe from optical and C-band SAR data.GEOCARTO INTERNATIONAL.
MLA	Wang, X. Y.,et al."Estimation of shrubland aboveground biomass of the desert steppe from optical and C-band SAR data".GEOCARTO INTERNATIONAL (2021).