An observation-driven optimization method for continuous estimation of soil moisture over large heterogeneous areas

doi:10.1080/2150704X.2020.1731620

	An observation-driven optimization method for continuous estimation of soil moisture over large heterogeneous areas
	Zhu, Wenbin 2; Xiu, Hongling 1,2; Wei, Jiaxing 1,2
刊名	REMOTE SENSING LETTERS
	2020-06-02
卷号	11 期号:6 页码:505-514
ISSN号	2150-704X
DOI	10.1080/2150704X.2020.1731620
通讯作者	Zhu, Wenbin(zhuwb@igsnrr.ac.cn) ; Xiu, Hongling(honglingxiu94@163.com)
英文摘要	In most remote sensing-based soil moisture (SM) retrieval methods, in-situ SM measurements are commonly used for validation purposes. Few studies have investigated whether such measurements can be used for calibration. In this paper, an observation-driven optimization method was proposed to estimate SM from remote sensing observations. Specifically, the optimization method was developed within the surface temperature-vegetation index (TVX) framework for the definition of objective function and constraints. In-situ SM measurements were used to optimize the theoretical boundaries of the TVX feature space. We demonstrated the applicability of the new method with Moderate Resolution Imaging Spectroradiometer (MODIS) products over the Southern Great Plains (SGP) of the United States of America. Results indicate that the accuracy produced using only one site for calibration has reached a level comparable with those produced by traditional methods. Moreover, the method has not only bypassed the complex parameterization of aerodynamic and surface resistance but also achieved continuous monitoring of SM. That is just the capacity that the traditional TVX method does not possess. Therefore, although our optimization method requires the ancillary of in-situ observations, its simplicity proves that it is a useful tool for a quick and continuous monitoring of SM over large heterogeneous areas.
资助项目	Key Science and Technology Project of Qinghai Province[2019-SF-A4] ; National Natural Sciences Foundation of China[41701485] ; Basic Research Program of Qinghai Province[2020-ZJ-715] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2020056]
WOS关键词	SENSED SURFACE-TEMPERATURE ; TRIANGLE METHOD ; AMSR-E ; MODEL ; EVAPOTRANSPIRATION ; MODIS
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000517365900001
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/311030/132865]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhu, Wenbin; Xiu, Hongling
作者单位	1.Univ Sci & Technol Liaoning, Sch Civil Engn, Anshan, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Wenbin,Xiu, Hongling,Wei, Jiaxing. An observation-driven optimization method for continuous estimation of soil moisture over large heterogeneous areas[J]. REMOTE SENSING LETTERS,2020,11(6):505-514.
APA	Zhu, Wenbin,Xiu, Hongling,&Wei, Jiaxing.(2020).An observation-driven optimization method for continuous estimation of soil moisture over large heterogeneous areas.REMOTE SENSING LETTERS,11(6),505-514.
MLA	Zhu, Wenbin,et al."An observation-driven optimization method for continuous estimation of soil moisture over large heterogeneous areas".REMOTE SENSING LETTERS 11.6(2020):505-514.