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Article: Remotely Sensed High-Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society

TitleRemotely Sensed High-Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society
Authors
Keywordsevapotranspiration
high-resolution
machine learning
remote sensing
soil moisture
water resources management
Issue Date1-May-2025
PublisherWiley Open Access
Citation
Water Resources Research, 2025, v. 61, n. 5 How to Cite?
AbstractThis paper reviews the current state of high-resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products and modeling, and the coupling relationship between SM and ET. SM downscaling approaches for satellite passive microwave products leverage advances in artificial intelligence and high-resolution remote sensing using visible, near-infrared, thermal-infrared, and synthetic aperture radar sensors. Remotely sensed ET continues to advance in spatiotemporal resolutions from MODIS to ECOSTRESS to Hydrosat and beyond. These advances enable a new understanding of bio-geo-physical controls and coupled feedback mechanisms between SM and ET reflecting the land cover and land use at field scale (3–30 m, daily). Still, the state-of-the-science products have their challenges and limitations, which we detail across data, retrieval algorithms, and applications. We describe the roles of these data in advancing 10 application areas: drought assessment, food security, precision agriculture, soil salinization, wildfire modeling, dust monitoring, flood forecasting, urban water, energy, and ecosystem management, ecohydrology, and biodiversity conservation. We discuss that future scientific advancement should focus on developing open-access, high-resolution (3–30 m), sub-daily SM and ET products, enabling the evaluation of hydrological processes at finer scales and revolutionizing the societal applications in data-limited regions of the world, especially the Global South for socio-economic development.
Persistent Identifierhttp://hdl.handle.net/10722/356530
ISSN
2023 Impact Factor: 4.6
2023 SCImago Journal Rankings: 1.574
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Jingyi-
dc.contributor.authorSehgal, Vinit-
dc.contributor.authorAlvarez, Laura V.-
dc.contributor.authorBrocca, Luca-
dc.contributor.authorCai, Shuohao-
dc.contributor.authorCheng, Rui-
dc.contributor.authorCheng, Xinghua-
dc.contributor.authorDu, Jinyang-
dc.contributor.authorEl Masri, Bassil-
dc.contributor.authorEndsley, K. Arthur-
dc.contributor.authorFang, Yilin-
dc.contributor.authorHu, Jie-
dc.contributor.authorJampani, Mahesh-
dc.contributor.authorKibria, Md Golam-
dc.contributor.authorKoren, Gerbrand-
dc.contributor.authorLi, Lingcheng-
dc.contributor.authorLiu, Laibao-
dc.contributor.authorMao, Jiafu-
dc.contributor.authorMoreno, Hernan A.-
dc.contributor.authorRigden, Angela-
dc.contributor.authorShi, Mingjie-
dc.contributor.authorShi, Xiaoying-
dc.contributor.authorWang, Yaoping-
dc.contributor.authorZhang, Xi-
dc.contributor.authorFisher, Joshua B.-
dc.date.accessioned2025-06-04T00:40:16Z-
dc.date.available2025-06-04T00:40:16Z-
dc.date.issued2025-05-01-
dc.identifier.citationWater Resources Research, 2025, v. 61, n. 5-
dc.identifier.issn0043-1397-
dc.identifier.urihttp://hdl.handle.net/10722/356530-
dc.description.abstractThis paper reviews the current state of high-resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products and modeling, and the coupling relationship between SM and ET. SM downscaling approaches for satellite passive microwave products leverage advances in artificial intelligence and high-resolution remote sensing using visible, near-infrared, thermal-infrared, and synthetic aperture radar sensors. Remotely sensed ET continues to advance in spatiotemporal resolutions from MODIS to ECOSTRESS to Hydrosat and beyond. These advances enable a new understanding of bio-geo-physical controls and coupled feedback mechanisms between SM and ET reflecting the land cover and land use at field scale (3–30 m, daily). Still, the state-of-the-science products have their challenges and limitations, which we detail across data, retrieval algorithms, and applications. We describe the roles of these data in advancing 10 application areas: drought assessment, food security, precision agriculture, soil salinization, wildfire modeling, dust monitoring, flood forecasting, urban water, energy, and ecosystem management, ecohydrology, and biodiversity conservation. We discuss that future scientific advancement should focus on developing open-access, high-resolution (3–30 m), sub-daily SM and ET products, enabling the evaluation of hydrological processes at finer scales and revolutionizing the societal applications in data-limited regions of the world, especially the Global South for socio-economic development.-
dc.languageeng-
dc.publisherWiley Open Access-
dc.relation.ispartofWater Resources Research-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectevapotranspiration-
dc.subjecthigh-resolution-
dc.subjectmachine learning-
dc.subjectremote sensing-
dc.subjectsoil moisture-
dc.subjectwater resources management-
dc.titleRemotely Sensed High-Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society-
dc.typeArticle-
dc.identifier.doi10.1029/2024WR037929-
dc.identifier.scopuseid_2-s2.0-105005025653-
dc.identifier.volume61-
dc.identifier.issue5-
dc.identifier.eissn1944-7973-
dc.identifier.isiWOS:001487825500001-
dc.identifier.issnl0043-1397-

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