Estimation of surface soil moisture based on thermal remote sensing:Intercomparison of four methods
Received:July 27, 2017  Revised:January 16, 2018  download
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Author NameAffiliationE-mail
YANG Yong-Min Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research starboy1986@126.com 
QIU Jian-Xiu .Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University,  
SU Hong-Bo Institute of Geographic Sciences and Natural Resources Research  
TIAN Jing Institute of Geographic Sciences and Natural Resources Research  
ZHANG Ren-Hua Institute of Geographic Sciences and Natural Resources Research  
Abstract:Remote sensing-based estimation of soil moisture is crucial in many aspects including basinscale w ater resource management, irrigation scheduling, regional scale drought monitoring and crop yield forecasting. In this study, w e evaluate the potential of visible/thermal-infrared remote sensing in soil moisture estimation, by assessing the TVDI-based method and three categories of methods based on evaporative fraction/potential evaporation ratio ( EFM1, EFM2 and EFM3) . In combination w ith ASTER data set, soil moisture in middle reach of the Heihe River Basin is predicted by the above-mentioned four methods and validated by the ground-based measurements from eco-hydrological w ireless sensor netw ork and hydro meteorological observation netw ork in the middle reach of Heihe river basin.Results indicate that uncertainties arise from the empiricism of the TVDI-based method in the process ofdetermining dry and w et edges. On the other hand, the evaporation fraction/potential evaporation ratio methods can to some degree reduce the uncertainties, and among the three methods, EFM1 and EFM3 outperform EFM2. In addition, the thermal-infrared based methods require accurate soil parameters to reproduce the variation of soil moisture.
keywords:thermal remote sensing, soil moisture  middle reach of Heihe river basin
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Copyright:《Journal of Infrared And Millimeter Waves》