Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework

doi:10.1016/j.jhydrol.2020.125827

	Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework
	Zhu, Wenbin 1; Wei, Jiaxing 1,2; Xiu, Hongling 1; Jia, Shaofeng 1; Lv, Aifeng 1
刊名	JOURNAL OF HYDROLOGY
	2021
卷号	592 页码:15
关键词	Soil moisture Evaporative fraction TVX method Observation-driven MODIS
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.2020.125827
通讯作者	Zhu, Wenbin(zhuwb@igsnrr.ac.cn) ; Wei, Jiaxing(jxwei@mail.bnu.edu.cn)
英文摘要	Numerous studies have focused on the retrieval of soil moisture (SM) and evaporative fraction (EF) based on the surface temperature-vegetation index (TVX) framework. However, few literatures have investigated whether these two variables can be retrieved simultaneously under the same TVX framework. Besides, most previous studies only demonstrated the application of the TVX framework under clear sky conditions. The estimation of SM and EF under partially cloudy conditions is still a challenging task. The main motivation for this study is to develop an observation-driven optimization framework combined with TVX method for coupled and continuous estimation of SM and EF. Specifically, the optimization scheme was designed to construct the constraints and objective functions of the TVX framework at seasonal scale. In-situ SM and EF measurements were utilized to calibrate the theoretical boundaries of the TVX framework, respectively. The applicability of this new scheme was demonstrated over the Southern Great Plains (SGP) of the United States of America in the year 2005 using Moderate Resolution Imaging Spectroradiometer (MODIS) products. The comparisons between present method and previous traditional TVX models indicate that the accuracy of the optimization scheme produced using only one site for calibration has reached a comparable level over the whole study domain. However, the new scheme holds unique advantages in simplicity and continuity. It has not only circumvented the complex parameterization scheme of theoretical TVX framework, but also achieved estimation of SM and EF under partially cloudy conditions. The validation results of SM estimates show that the absolute value of correlation coefficient (r) under clear and partially cloudy sky conditions was 0.51 and 0.43, respectively. The validation results of EF estimates indicate that the r and root mean square error (RMSE) under clear sky conditions was 0.70 and 0.163. In contrast, the r and RMSE under partially cloudy conditions was 0.66 and 0.158. In addition, the coupled estimation of SM and EF means that these two objective variables can be interconverted into each other within the optimization framework. Thus either SM or EF can be used to calibrate the theoretical dry edge that applies to the estimation of both variables.
资助项目	Key Science and Technology Project of Qinghai Province[2019-SF-A4] ; National Natural Sciences Foundation of China[42071032] ; Basic Research Program of Qinghai Province[2020-ZJ-715] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2020056]
WOS关键词	SOUTHERN GREAT-PLAINS ; ENERGY-BALANCE ; AIR-TEMPERATURE ; TRIANGLE METHOD ; HEAT-FLUX ; EVAPOTRANSPIRATION ESTIMATION ; REGIONAL EVAPOTRANSPIRATION ; GLOBAL EVAPOTRANSPIRATION ; VARIATIONAL ASSIMILATION ; OBTAINABLE VARIABLES
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000639844900052
资助机构	Key Science and Technology Project of Qinghai Province ; National Natural Sciences Foundation of China ; Basic Research Program of Qinghai Province ; Youth Innovation Promotion Association of Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162683]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhu, Wenbin; Wei, Jiaxing
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Wenbin,Wei, Jiaxing,Xiu, Hongling,et al. Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework[J]. JOURNAL OF HYDROLOGY,2021,592:15.
APA	Zhu, Wenbin,Wei, Jiaxing,Xiu, Hongling,Jia, Shaofeng,&Lv, Aifeng.(2021).Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework.JOURNAL OF HYDROLOGY,592,15.
MLA	Zhu, Wenbin,et al."Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework".JOURNAL OF HYDROLOGY 592(2021):15.