Development and evaluation of the MTVDI for soil moisture monitoring

doi:10.1002/2017JD026607

	Development and evaluation of the MTVDI for soil moisture monitoring
	Zhu, Wenbin 1,2; Lv, Aifeng 1,2; Jia, Shaofeng 1,2; Sun, Liang 3
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2017-06-16
卷号	122 期号:11 页码:5533-5555
关键词	soil moisture TVDI T-s-VI TVX method MODIS
ISSN号	2169-897X
DOI	10.1002/2017JD026607
通讯作者	Jia, Shaofeng(jiasf@igsnrr.ac.cn)
英文摘要	Several parameterization schemes have been developed to retrieve the soil moisture information involved in the remotely sensed surface temperature-vegetation index (T-s - VI) space. However, most of them are performed with the constraint of the dry edge of the T-s - VI space to define the maximum water stressed conditions. In view of the subjectivity and uncertainty involved in the determination of the dry edge, a new index termed as the Modified Temperature-Vegetation Dryness Index (MTVDI) was developed in this paper to reduce the reliance of the parameterization scheme on the dry edge. In the parameterization scheme of MTVDI, isopleth lines of soil moisture involved in the feature space were retrieved by the temperature-vegetation index method, and only the maximum surface temperature of bare soil (T-smax) was indispensable in the definition of maximum water stressed conditions. For evaluation purpose, the MTVDI was demonstrated in the Southern Great Plains region of the U.S. and was compared with two other traditional soil moisture indexes developed under the constraint of dry edge. The comparison confirmed the effectivity of the MTVDI in monitoring the spatial pattern and seasonal variation of soil moisture. Our analyses also suggest that T-smax, the only parameter needed in the definition of maximum water stressed conditions, can be retrieved directly from the parameterization scheme itself. Therefore, the retrieval of MTVDI can be performed independent of the dry edge, which is a significant improvement to the traditional parameterization schemes of soil moisture from the T-s - VI feature space.
资助项目	National Key Research and Development Program of China[2016YFC0401300] ; National Natural Sciences Foundation of China[41671026]
WOS关键词	SOUTHERN GREAT-PLAINS ; RADIOMETRIC SURFACE-TEMPERATURE ; SPECTRAL VEGETATION INDEX ; REMOTE-SENSING DATA ; MSG-SEVIRI DATA ; AIR-TEMPERATURE ; SATELLITE IMAGERY ; TRIANGLE METHOD ; ENERGY FLUXES ; WATER CONTENT
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000404131800001
资助机构	National Key Research and Development Program of China ; National Natural Sciences Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/63010]
专题	中国科学院地理科学与资源研究所
通讯作者	Jia, Shaofeng
作者单位	1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Beijing Normal Univ, Sch Geog, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Wenbin,Lv, Aifeng,Jia, Shaofeng,et al. Development and evaluation of the MTVDI for soil moisture monitoring[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(11):5533-5555.
APA	Zhu, Wenbin,Lv, Aifeng,Jia, Shaofeng,&Sun, Liang.(2017).Development and evaluation of the MTVDI for soil moisture monitoring.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(11),5533-5555.
MLA	Zhu, Wenbin,et al."Development and evaluation of the MTVDI for soil moisture monitoring".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.11(2017):5533-5555.