Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods

doi:10.11972/j.issn.1001-9014.2018.04.014

	Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods
	Yang Yong-Min 1,2; Qiu Jian-Xiu 3; Su Hong-Bo 1; Tian Jing 1; Zhang Ren-Hua 1
刊名	JOURNAL OF INFRARED AND MILLIMETER WAVES
	2018-08-01
卷号	37 期号:4 页码:459-+
关键词	thermal remote sensing soil moisture middle reach of Heihe river basin
ISSN号	1001-9014
DOI	10.11972/j.issn.1001-9014.2018.04.014
通讯作者	Yang Yong-Min(starboy1986@126.com)
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[2015A006] ; National Science Foundation of China[41501415] ; National Science Foundation of China[41501450] ; National Science Foundation of China[51420105014] ; IWHR Research & Development Support Program[JZ0145B032017] ; Natural Science Foundation of Guangdong Province, China[2016A030310154] ; Fundamental Research Funds for the Central Universities[161gpy06]
WOS关键词	ENERGY-BALANCE ; SPATIAL VARIABILITY ; TRIANGLE METHOD ; INFRARED DATA ; EVAPOTRANSPIRATION ; VEGETATION ; MODEL ; TEMPERATURE ; RETRIEVAL ; ALGORITHM
WOS研究方向	Optics
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000448285000014
资助机构	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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52456]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang Yong-Min
作者单位	1.Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Minist Water Resources, China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China 3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Yang Yong-Min,Qiu Jian-Xiu,Su Hong-Bo,et al. Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES,2018,37(4):459-+.
APA	Yang Yong-Min,Qiu Jian-Xiu,Su Hong-Bo,Tian Jing,&Zhang Ren-Hua.(2018).Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods.JOURNAL OF INFRARED AND MILLIMETER WAVES,37(4),459-+.
MLA	Yang Yong-Min,et al."Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods".JOURNAL OF INFRARED AND MILLIMETER WAVES 37.4(2018):459-+.