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| Titel |
Estimation of soil moisture using trapezoidal relationship between remotely sensed land surface temperature and vegetation index |
| VerfasserIn |
W. Wang, D. Huang, X.-G. Wang, Y.-R. Liu, F. Zhou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 5 ; Nr. 15, no. 5 (2011-05-30), S.1699-1712 |
| Datensatznummer |
250012797
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| Publikation (Nr.) |
 copernicus.org/hess-15-1699-2011.pdf |
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| Zusammenfassung |
| The trapezoidal relationship between land surface temperature (Ts) and
Vegetation Index (VI) was used to estimate soil moisture in the present
study. An iterative algorithm is proposed to estimate the vertices of the
Ts ~ VI trapezoid theoretically for each pixel, and then Water
Deficit Index (WDI) is calculated based on the Ts ~ VI trapezoid
using MODIS remotely sensed measurements of surface temperature and enhanced
vegetation index (EVI). The capability of using WDI based on Ts ~ VI
trapezoid to estimate soil moisture is evaluated using soil moisture
observations and antecedent precipitation in the Walnut Gulch Experimental
Watershed (WGEW) in Arizona, USA. The result shows that, the Ts ~ VI
trapezoid based WDI can capture temporal variation in surface soil moisture
well, but the capability of detecting spatial variation is poor for such a
semi-arid region as WGEW. |
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