Remote sensing of root zone soil moisture: A review of methods and products
文献类型:期刊论文
作者 | Kasim, Abba Aliyu4,5; Leng, Pei5; Li, Yu-Xuan5; Liao, Qian-Yu3; Geng, Yun-Jing2; Ma, Jianwei1; Sun, Yayong1; Song, Xiaoning2; Duan, Si-Bo5; Li, Zhao-Liang3,5 |
刊名 | JOURNAL OF HYDROLOGY
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出版日期 | 2025-08-01 |
卷号 | 656页码:133002 |
关键词 | Root zone soil moisture Surface soil moisture Remote sensing Estimation methods Satellite-based products |
ISSN号 | 0022-1694 |
DOI | 10.1016/j.jhydrol.2025.133002 |
产权排序 | 3 |
文献子类 | Review |
英文摘要 | The demand for accurate and reliable estimates of root zone soil moisture (RZSM) has been increasing because of the growing need to address global concerns, including climate change and food security. In recent decades, significant advances have been made for inferring RZSM from remotely sensed observations, providing many methods and products that are available for Earth science fields. However, there are conflicting views in the recent literature regarding the accuracy of these methods due to regional differences in climate, soil, and vegetation conditions, as well as variations in parameterization and calibration approaches. These techniques have not been adequately discussed and documented in the literature. This article comprehensively reviews the satellite-based RZSM estimation methods (however some methods are not exclusively remote sensing-based, but in theory satellite data can be applicable to them), discusses their basic principles, and highlights their strengths, weaknesses, and potential research directions. We categorize these methods into two groups: those that estimate RZSM with knowledge of surface soil moisture (SSM) and those that estimate RZSM without SSM knowledge. Although these methods show varying levels of accuracy, periodic review required to address neglected assumptions, modify algorithms, and develop new ones in line with technological advancements of the 21st Century. In addition, we adequately describe and compare the major satellite-based global RZSM products at present to understand their global and local patterns and uncover existing problems. This review will serve as a reference for scientists in various fields to make informed decisions on the preferred methods for estimating RZSM from remote sensing measurements. |
URL标识 | 查看原文 |
WOS关键词 | NEAR-SURFACE OBSERVATIONS ; P-BAND RADAR ; EXPONENTIAL FILTER ; PROFILE RETRIEVAL ; TIME-SERIES ; SATELLITE ; ASSIMILATION ; MODEL ; FIELD ; VALIDATION |
WOS研究方向 | Engineering ; Geology ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:001441513500001 |
出版者 | ELSEVIER |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/213271] ![]() |
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.China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Fed Univ Dustin Ma, Fac Earth & Environm Sci, Dept Environm Resources Management, PMB 5001, Dutsin Wai, Katsina, Nigeria; 5.Chinese Acad Agr Sci, State Key Lab Efficient Utilizat Arable Land China, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China; |
推荐引用方式 GB/T 7714 | Kasim, Abba Aliyu,Leng, Pei,Li, Yu-Xuan,et al. Remote sensing of root zone soil moisture: A review of methods and products[J]. JOURNAL OF HYDROLOGY,2025,656:133002. |
APA | Kasim, Abba Aliyu.,Leng, Pei.,Li, Yu-Xuan.,Liao, Qian-Yu.,Geng, Yun-Jing.,...&Li, Zhao-Liang.(2025).Remote sensing of root zone soil moisture: A review of methods and products.JOURNAL OF HYDROLOGY,656,133002. |
MLA | Kasim, Abba Aliyu,et al."Remote sensing of root zone soil moisture: A review of methods and products".JOURNAL OF HYDROLOGY 656(2025):133002. |
入库方式: OAI收割
来源:地理科学与资源研究所
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