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A time domain solution of the Modified Temperature Vegetation Dryness Index (MTVDI) for continuous soil moisture monitoring
Zhu, Wenbin1,2; Jia, Shaofeng1,2; Lv, Aifeng1,2
2017-10-01
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume200Pages:1-17
Corresponding AuthorZhu, Wenbin(zhuwb@igsnrr.ac.cn)
AbstractThis study presents indexes developed from remote sensing observations for continuous soil surface moisture monitoring. The Modified Temperature Vegetation Dryness Index (MTVDI) proposed in our earlier work is developed using a time domain solution method rather than the traditional spatial domain solution method, because of limitations arising from a traditional temperature-vegetation index (TVX) method. In the procedure herein proposed, the MTVDI parameterization scheme is transformed from regional scale to pixel scale, and the boundary conditions defining maximum water stress are determined pixel by pixel using the surface energy balance principle. All the parameters required for the retrieval of MTVDI are pixel specific, thereby avoiding the limitations of the traditional spatial domain solution method. Previous studies demonstrate the applicability of the TVX method with data from only a few days of clear sky conditions. In contrast, our proposed MTVDI is demonstrated using Moderate Resolution Imaging Spectroradiometer (MODIS) products over the course of a full year, and the soil moisture status over the Southern Great Plains (SGP) region is monitored continuously. Finally, the volumetric surface soil water content (theta(nu)) is estimated using a calibration procedure from the MTVDI retrievals. The results show that the accuracy of both MTVDI retrievals and theta(nu) estimates obtained in this work has reached a level comparable with those produced in previous studies. Across all sites, the correlation coefficient (r) between the MTVDI and theta(nu) measurements is 0.60. The values of r, mean absolute error (MAE) and root mean square error (RMSE) for theta(nu) estimates are 0.75, 0.019 m(3) M-3 and 0.025 m(3) m(-3), respectively.
KeywordSoil moisture TVDI Land surface temperature Vegetation index MODIS
DOI10.1016/j.rse.2017.07.032
WOS KeywordSOUTHERN GREAT-PLAINS ; IMPROVING SPATIAL REPRESENTATION ; LAND-SURFACE TEMPERATURE ; REMOTE-SENSING DATA ; CLEAR-SKY DAYS ; AIR-TEMPERATURE ; MODIS PRODUCTS ; TRIANGLE METHOD ; ENERGY FLUXES ; EVAPORATIVE FRACTION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC0401307]
Funding OrganizationNational Key Research and Development Program of China
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000412607600001
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62020
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu, Wenbin
Affiliation1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Wenbin,Jia, Shaofeng,Lv, Aifeng. A time domain solution of the Modified Temperature Vegetation Dryness Index (MTVDI) for continuous soil moisture monitoring[J]. REMOTE SENSING OF ENVIRONMENT,2017,200:1-17.
APA Zhu, Wenbin,Jia, Shaofeng,&Lv, Aifeng.(2017).A time domain solution of the Modified Temperature Vegetation Dryness Index (MTVDI) for continuous soil moisture monitoring.REMOTE SENSING OF ENVIRONMENT,200,1-17.
MLA Zhu, Wenbin,et al."A time domain solution of the Modified Temperature Vegetation Dryness Index (MTVDI) for continuous soil moisture monitoring".REMOTE SENSING OF ENVIRONMENT 200(2017):1-17.
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