Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index

doi:10.5721/EuJRS20144734

	Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index
	Ren, Hongrui ; Zhou, Guangsheng 1,2
	2014
发表期刊	EUROPEAN JOURNAL OF REMOTE SENSING
卷号	47 页码:611-625
摘要	Accurate estimation of green aboveground biomass in arid and semiarid grassland is essential for a variety of studies, such as sustainable grassland management, fire risk assessment, climate change, and environmental degradation. A great need exists for the establishment of robust method for estimating green aboveground biomass in arid and semiarid grassland due to the influences of soil background and litter. In the study, a new index (litter-soil-adjusted vegetation index, L-SAVI) was proposed to estimate green aboveground biomass in arid and semiarid grassland. The L-SAVI was also evaluated based on biomass and spectra in situ measurements in the desert steppe of Inner Mongolia. Results showed that, the performance of the new index was better than that of NDVI (normalized difference vegetation index), SAVI (soil-adjusted vegetation index), MSAVI (modified soil-adjusted vegetation index), OSAVI (optimised soil-adjusted vegetation index), TSAVI (transformed soil-adjusted vegetation index), ATSAVI (adjusted transformed soil-adjusted vegetation index), PVI (perpendicular vegetation index), GSAVI (green-adjusted vegetation index), and L-ATSAVI (litter-corrected ATSAVI) in our study site. The logic behind the L-SAVI was to enable the SAVI to be less sensitive to litter by incorporating the CAI (cellulose absorption index) in the SAVI. In conclusion, the L-SAVI is a suitable predictor for complementing existing vegetation indices on green aboveground biomass estimation in arid and semiarid grassland.
关键词	Green aboveground biomass desert steppe field spectrometry litter-soil-adjusted vegetation indices cellulose absorption index
学科领域	Remote Sensing
DOI	10.5721/EuJRS20144734
收录类别	SCI
语种	英语
WOS关键词	NET PRIMARY PRODUCTIVITY ; CROP RESIDUE COVER ; GRASSLAND ECOSYSTEMS ; LANDSAT TM ; REFLECTANCE ; IMAGES ; CHINA ; AREA
WOS研究方向	Remote Sensing
WOS记录号	WOS:000347165500007
出版者	TAYLOR & FRANCIS LTD
文献子类	Article
出版地	ABINGDON
EISSN	2279-7254
资助机构	National Natural Science Foundation of China [41301053] ; Natural Science Foundation of Shanxi [2013021030-1]
作者邮箱	gszhou@ibcas.ac.cn
作品OA属性	gold
引用统计	被引频次：29[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/27257
专题	植被与环境变化国家重点实验室
作者单位	1.Taiyuan Univ Technol, Coll Min Engn, Dept Sci & Technol Surveying & Mapping, Taiyuan 030024, Shanxi, Peoples R China 2.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Ren, Hongrui,Zhou, Guangsheng. Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2014,47:611-625.
APA	Ren, Hongrui,&Zhou, Guangsheng.(2014).Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index.EUROPEAN JOURNAL OF REMOTE SENSING,47,611-625.
MLA	Ren, Hongrui,et al."Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index".EUROPEAN JOURNAL OF REMOTE SENSING 47(2014):611-625.

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