中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
estimationofsurfacesoilmoisturebasedonthermalremotesensingintercomparisonoffourmethods

文献类型:期刊论文

作者Yang YM(杨永民)1; Qiu JX(邱建秀)2; Su HB(苏红波)1; Tian J(田静)1; Zhang RH(张仁华)1
刊名journalofinfraredandmillimeterwaves
出版日期2018
卷号37期号:4页码:459
ISSN号1001-9014
英文摘要Remote sensing-based estimation of soil moisture is crucial in many aspects including basin scale water resource management, irrigation scheduling, regional scale drought monitoring and crop yield forecasting. In this study, we 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 with 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 wireless sensor network and hydro meteorological observation network in the middle reach of Heihe river basin. Results indicate that uncertainties arise from the empiricism of the TVDI-based method in the process of determining dry and wet 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.
资助项目[Open Fund of the Key Laboratory of Water Cycle and Related Land Surface Processes, IGSNRR, CAS] ; [National Science Foundation of China] ; [IWHR Research & Development Support Program] ; [Natural Science Foundation of Guangdong Province, China] ; [Fundamental Research Funds for the Central Universities]
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/102334]  
专题中国科学院地理科学与资源研究所
作者单位1.中国科学院地理科学与资源研究所
2.中山大学
推荐引用方式
GB/T 7714
Yang YM,Qiu JX,Su HB,et al. estimationofsurfacesoilmoisturebasedonthermalremotesensingintercomparisonoffourmethods[J]. journalofinfraredandmillimeterwaves,2018,37(4):459.
APA 杨永民,邱建秀,苏红波,田静,&张仁华.(2018).estimationofsurfacesoilmoisturebasedonthermalremotesensingintercomparisonoffourmethods.journalofinfraredandmillimeterwaves,37(4),459.
MLA 杨永民,et al."estimationofsurfacesoilmoisturebasedonthermalremotesensingintercomparisonoffourmethods".journalofinfraredandmillimeterwaves 37.4(2018):459.

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来源:地理科学与资源研究所

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