Skip all navigation and jump to content Jump to site navigation
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link



Tasumi, M; Kimura, R (2013). Estimation of volumetric soil water content over the Liudaogou river basin of the Loess Plateau using the SWEST method with spatial and temporal variability. AGRICULTURAL WATER MANAGEMENT, 118, 22-28.

Monitoring soil moisture with spatial and temporal distribution is in big demand in arid and semi-arid regions. In Loess Plateau in China, where soil erosion is a major issue, information about soil water content helps in the planning of regional water resources and vegetation restoration for the prevention of erosion. In this study, we have developed the SWEST (soil water estimation from surface temperature) method by integrating well-known relationships among surface temperature, evapotranspiration and soil water content. An advantage of the proposed SWEST method is that it can estimate soil water content for the location of a water source of evapotranspiration, where there would be a near-surface for bare soil and the root zone for well vegetated surfaces. A verification study conducted at Liudaogou River Basin of the Loess Plateau, China, indicated the method could estimate soil water content accurately, with an estimation error of about 2.6% of the total volume of soil. Application of the method to satellite thermal imaging successfully presented the applicability of the SWEST method to estimate soil water content with spatial and temporal variability. (C) 2012 Elsevier B.V. All rights reserved.



NASA Home Page Goddard Space Flight Center Home Page