Soil moisture estimation from satellite-derived temporal signals in the thermal domain with an improved parameterization scheme
文献类型：期刊论文
| 作者 | Geng, Yun-Jing3,5; Leng, Pei2; Kasim, Abba Aliyu2,4; Song, Xiaoning3,5; Li, Zhao-Liang1,2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2025-12-01 |
| 卷号 | 662页码:133984 |
| 关键词 | Soil moisture Land surface temperature Temporal information Numerical simulation Geostationary satellite data |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2025.133984 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Soil moisture (SM) is an indispensable variable in water, energy, and carbon cycles. This study aimed to develop a practical method for estimating SM from the perspective of intra-day temporal signals of land surface temperature (LST) using an improved parameterization scheme over vegetated conditions. The original method was inspired by the surface energy budget principle, in which SM plays a dominant role in the diurnal LST cycle over bare soils. According to a comprehensive dataset from the physics-based Common Land Model simulation under different underlying surface and atmospheric conditions, it was found that the parameters to be calibrated in the SM retrieval method at 44 AmeriFlux sites across the continental US satisfied the normal distribution conditions. Based on this finding, a new concept of spatiotemporal-invariant parameters was first defined, and these parameters were subsequently determined using Common Land Model simulations with historical meteorological observations. This has significantly enhanced the practicability of the SM retrieval method at the regional scale with satellite data, as no real-time auxiliary data are required for individual parameterization/calibration when dealing with each image scenario, as in other traditional SM retrieval methods. Finally, using Meteosat Second Generation satellite data, the proposed SM retrieval method was comprehensively evaluated at two SM networks (TWENTE in the Netherlands and REMEDHUS in Spain) dominated by different land cover types and climate patterns between 2015 and 2020. Compared to in-situ SM measurements, the proposed method reveals reasonable accuracy, with an average root mean square error of similar to 0.05 m(3)m(-3) at the two networks, indicating promising prospects for estimating SM from geostationary satellite data in future developments. |
| URL标识 | 查看原文 |
| WOS关键词 | OPTICAL TRAPEZOID MODEL ; RETRIEVAL ; VALIDATION ; SMOS ; TEMPERATURE ; SENTINEL-2 ; PRODUCTS ; INERTIA ; TWENTE ; CCI |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001545763700002 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215539]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Leng, Pei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arable Land China, Beijing 100081, Peoples R China; 3.Univ Chinese Acad Sci, Yanshan Earth Crit Zone & Surface Fluxes Res Stn, Beijing 101408, Peoples R China; 4.Fed Univ, Fac Earth & Environm Sci, Dept Environm Resources Management, PMB 5001, Dustin Ma, Katsina, Nigeria; 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Geng, Yun-Jing,Leng, Pei,Kasim, Abba Aliyu,et al. Soil moisture estimation from satellite-derived temporal signals in the thermal domain with an improved parameterization scheme[J]. JOURNAL OF HYDROLOGY,2025,662:133984. |
| APA | Geng, Yun-Jing,Leng, Pei,Kasim, Abba Aliyu,Song, Xiaoning,&Li, Zhao-Liang.(2025).Soil moisture estimation from satellite-derived temporal signals in the thermal domain with an improved parameterization scheme.JOURNAL OF HYDROLOGY,662,133984. |
| MLA | Geng, Yun-Jing,et al."Soil moisture estimation from satellite-derived temporal signals in the thermal domain with an improved parameterization scheme".JOURNAL OF HYDROLOGY 662(2025):133984. |
入库方式： OAI收割
来源：地理科学与资源研究所
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