干旱区生态环境知识资源中心(Arid): Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?

Arid

DOI	10.1080/01431161.2019.1606958
	Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?
	Baghi, Naghmeh Gholami 1,2; Oldeland, Jens 2
通讯作者	Oldeland, Jens
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:22 页码:8223-8235
英文摘要	Satellite remote sensing has greatly facilitated the assessment of aboveground biomass in rangelands. Soil-adjusted vegetation indices have been developed to provide better predictions of aboveground biomass, especially for dryland regions. Semi-arid rangelands often complicate a remote sensing based assessment of aboveground biomass due to bright reflecting soils combined with sparse vegetation cover. We aim at evaluating whether soil-adjusted vegetation indices perform better than standard, i.e. unadjusted, vegetation indices in predicting dry aboveground biomass of a saline and semi-arid rangeland in NE-Iran. 672 biomass plots of 2 x 2 m were gathered and aggregated into 13 sites. Generalized Linear Regression Models (GLM) were compared for six different vegetation indices, three standard and three soil-adjusted vegetation indices. Vegetation indices were calculated from the MODIS MCD43A4 product. Model comparison was done using Akaike Information Criterion (AICc), Akaike weights and pseudo R-2. Model fits for dry biomass showed that transformed NDVI and NDVI fitted best with R-2 = 0.47 and R-2 = 0.33, respectively. The optimized soil-adjusted vegetation index (OSAVI) behaved similar to NDVI but less precise. The soil-adjusted vegetation index (SAVI), the modified soil-adjusted vegetation index (MSAVI2) and the enhanced vegetation index (EVI) performed worse than a null model. Hence, soil-adjusted indices based on the soil-line concept performed worse than a simple square root transformation of the NDVI. However, more studies that compare MODIS based vegetation indices for rangeland biomass estimation are required to support our findings. We suggest applying a similar model comparison approach as performed in this study instead of relying on single vegetation indices in order to find optimal relationships with aboveground biomass estimation in rangelands.
类型	Article
语种	英语
国家	Iran ; Germany
收录类别	SCI-E
WOS记录号	WOS:000470617800001
WOS关键词	ABOVEGROUND BIOMASS ; PRODUCTIVITY ; GRASSLAND ; BIODIVERSITY ; PERFORMANCE ; AREAS ; MODEL
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	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/2XILL650/216505
作者单位	1.Gorgan Univ Agr Sci & Nat Resources, Rangeland & Watershed Dept, Gorgan, Golestan, Iran; 2.Univ Hamburg, Inst Plant Sci & Microbiol, Hamburg, Germany
推荐引用方式 GB/T 7714	Baghi, Naghmeh Gholami,Oldeland, Jens. Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?[J],2019,40(22):8223-8235.
APA	Baghi, Naghmeh Gholami,&Oldeland, Jens.(2019).Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(22),8223-8235.
MLA	Baghi, Naghmeh Gholami,et al."Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.22(2019):8223-8235.