中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development and evaluation of the MTVDI for soil moisture monitoring

文献类型:期刊论文

作者Zhu, Wenbin1,2; Lv, Aifeng1,2; Jia, Shaofeng1,2; Sun, Liang3
刊名JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
出版日期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
DOI10.1002/2017JD026607
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.
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
资助项目National Key Research and Development Program of China[2016YFC0401300] ; National Natural Sciences Foundation of China[41671026]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000404131800001
出版者AMER GEOPHYSICAL UNION
资助机构National Key Research and Development Program of China ; National Natural Sciences Foundation of China
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, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, 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.

入库方式: OAI收割

来源:地理科学与资源研究所

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