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	Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index information
	Sun L. ; Sun R. ; Li X. W. ; Liang S. L. ; Zhang R. H.
	2012
关键词	Surface soil moisture TVDI Surface temperature Vegetation index MODIS water-stress index msg-seviri data air-temperature triangle method satellite data regional-scale evapotranspiration ndvi modis model
英文摘要	Surface soil moisture is a key variable for describing water and energy exchanges at the surface/atmosphere interface. The triangle or trapezoid method is appropriate for monitoring the regional surface soil moisture status. In this study, an advanced temperature vegetation dryness index (ATVDI) is used to monitor soil moisture status using an improved surface temperature and a vegetation index space that is formed by the theoretical dry edge determined by the surface energy balance principle and the wet edge extracted from water surface temperature. The ATVDI was validated by in situ soil moisture measurements from the Southern Great Plains (SGP) and is compared with a simple temperature vegetation dryness index (STVDI) estimated from the observed dry edge. The results indicate that the theoretical dry edge forms a trapezoid shape during the period of data coverage whereas the observed dry edge does not. Across all points, the R-2 of the ATVDI (0.35) is greater than that for the STVDI (0.28). For almost all of the sites, the R-2 between the ATVDI and soil moisture apparently improved. We also examined the spatial variation, and the value range of the ATVDI is closer than the STVDI to the real soil moisture conditions. The temporal variation of the ATVDI is closer to soil moisture than that of the STVDI, and the ATVDI is more sensitive to rainfall. This study demonstrates that a theoretical dry edge, determined by the energy balance principle, sets a standard for different days and that the ATVDI could monitor soil moisture conditions better than the STVDI could. (c) 2012 Elsevier B.V. All rights reserved.
出处	Agricultural and Forest Meteorology
卷	166
页	175-187
收录类别	SCI
语种	英语
ISSN号	0168-1923
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30772]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Sun L.,Sun R.,Li X. W.,et al. Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index information. 2012.

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