Arid
DOI10.1016/j.rse.2018.02.068
Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands
Ren, Hongrui1; Zhou, Guangsheng2; Zhang, Feng3
通讯作者Ren, Hongrui ; Zhou, Guangsheng
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2018
卷号209页码:439-445
英文摘要

All values of soil adjustment factor (L) from 0 to 1 in the soil-adjusted vegetation index (SAVI) were found to be undesirable in arid areas with sparse vegetation cover. We hypothesized that the negative soil adjustment factor in the SAVI would be satisfactory in arid areas. In the study, we explored the potential of negative soil adjustment factor in the SAVI against a set of field measurements during the growing season of 2009 in the desert steppe of Inner Mongolia, China. As hypothesized, negative soil adjustment factor was found to give satisfactory reduction of soil background noise. SAVI (L = -0.2) (R-2 = 0.64, RMSE = 18.4 g m(-2), rRMSE = 25.5%, n = 120) provided dramatic improvements over optimal NDVI (normalized difference vegetation index) (that is, SAVI (L = 0)) (R-2 = 0.44, RMSE = 22.7 g m(-2), rRMSE = 31.4%, n = 120) for aboveground living biomass (AGB) estimation among tested vegetation indices. A physical basis for the negative soil adjustment factor was also explored. Results showed that, the intersected points between approximate vegetation isolines and soil line were situated in the domain of positive values of NIR (near-infrared) and red in the first quadrant of NIR-red plane, and the slopes of vegetation isolines increased with increasing AGB in the desert steppe, thus resulting in negative factor by shifting the origin toward positive intersected points. This runs counter to reported vegetation isolines behavior for SAVI, in which the intersected points were situated in the region of negative values of NIR and red in the third quadrant. The good performance of negative factor was also observed for percent green cover (PGC) estimation in the desert steppe. We further proposed a conceptual model to describe vegetation isolines behavior in arid grasslands. Our findings will complement widely used soil adjustment factor. Further study is needed to validate the negative soil factor and test the conceptual model in other arid grasslands.


英文关键词Aboveground living biomass Arid grasslands Soil adjustment factor Soil-adjusted vegetation index Remote sensing
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000430897300031
WOS关键词LEAF-AREA INDEX ; DERIVATION ; LIMITS
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院植物研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212690
作者单位1.Taiyuan Univ Technol, Dept Geomat, Taiyuan 030024, Shanxi, Peoples R China;
2.Chinese Acad Meteorol Sci, 46 Zhongguancun South St, Beijing 100081, Peoples R China;
3.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
推荐引用方式
GB/T 7714
Ren, Hongrui,Zhou, Guangsheng,Zhang, Feng. Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands[J]. 中国科学院植物研究所,2018,209:439-445.
APA Ren, Hongrui,Zhou, Guangsheng,&Zhang, Feng.(2018).Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands.REMOTE SENSING OF ENVIRONMENT,209,439-445.
MLA Ren, Hongrui,et al."Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands".REMOTE SENSING OF ENVIRONMENT 209(2018):439-445.
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