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

文献类型：期刊论文

作者Zhu, Wenbin1; Xiu, Hongling1,2; Wei, Jiaxing1,2
刊名REMOTE SENSING LETTERS
出版日期2020-06-02
卷号11期号:6页码:505-514
ISSN号2150-704X
DOI10.1080/2150704X.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.
WOS关键词SENSED SURFACE-TEMPERATURE ; TRIANGLE METHOD ; AMSR-E ; MODEL ; EVAPOTRANSPIRATION ; MODIS
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研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000517365900001
出版者TAYLOR & FRANCIS LTD
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
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Sci & Technol Liaoning, Sch Civil Engn, Anshan, 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.

入库方式： OAI收割

来源：地理科学与资源研究所

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