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Development and evaluation of the MTVDI for soil moisture monitoring
Zhu, Wenbin1,2; Lv, Aifeng1,2; Jia, Shaofeng1,2; Sun, Liang3
2017-06-16
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
Volume122Issue:11Pages:5533-5555
Corresponding AuthorJia, Shaofeng(jiasf@igsnrr.ac.cn)
AbstractSeveral 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.
Keywordsoil moisture TVDI T-s-VI TVX method MODIS
DOI10.1002/2017JD026607
WOS KeywordSOUTHERN GREAT-PLAINS ; RADIOMETRIC SURFACE-TEMPERATURE ; SPECTRAL VEGETATION INDEX ; REMOTE-SENSING DATA ; MSG-SEVIRI DATA ; AIR-TEMPERATURE ; SATELLITE IMAGERY ; TRIANGLE METHOD ; ENERGY FLUXES ; WATER CONTENT
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC0401300] ; National Natural Sciences Foundation of China[41671026]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Sciences Foundation of China
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000404131800001
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63011
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJia, Shaofeng
Affiliation1.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
Recommended Citation
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.
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