Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society
This 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 intelligen...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
American Geophysical Union
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/174618 |
| _version_ | 1855524834624143360 |
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| author | Huang, J. Sehgal, V. Alvarez, L. V. Brocca, L. Cai, S. Cheng, R. Cheng, X. Du, J. El Masri, B. Endsley, K. A. Fang, Y. Hu, J. Jampani, Mahesh Kibria, Md. G. Koren, G. Li, L. Liu, L. Mao, J. Moreno, H. A. Rigden, A. Shi, M. Shi, X. Wang, Y. Zhang, X. Fisher, J. B. |
| author_browse | Alvarez, L. V. Brocca, L. Cai, S. Cheng, R. Cheng, X. Du, J. El Masri, B. Endsley, K. A. Fang, Y. Fisher, J. B. Hu, J. Huang, J. Jampani, Mahesh Kibria, Md. G. Koren, G. Li, L. Liu, L. Mao, J. Moreno, H. A. Rigden, A. Sehgal, V. Shi, M. Shi, X. Wang, Y. Zhang, X. |
| author_facet | Huang, J. Sehgal, V. Alvarez, L. V. Brocca, L. Cai, S. Cheng, R. Cheng, X. Du, J. El Masri, B. Endsley, K. A. Fang, Y. Hu, J. Jampani, Mahesh Kibria, Md. G. Koren, G. Li, L. Liu, L. Mao, J. Moreno, H. A. Rigden, A. Shi, M. Shi, X. Wang, Y. Zhang, X. Fisher, J. B. |
| author_sort | Huang, J. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This 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. |
| format | Journal Article |
| id | CGSpace174618 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | American Geophysical Union |
| publisherStr | American Geophysical Union |
| record_format | dspace |
| spelling | CGSpace1746182025-10-26T13:00:54Z Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society Huang, J. Sehgal, V. Alvarez, L. V. Brocca, L. Cai, S. Cheng, R. Cheng, X. Du, J. El Masri, B. Endsley, K. A. Fang, Y. Hu, J. Jampani, Mahesh Kibria, Md. G. Koren, G. Li, L. Liu, L. Mao, J. Moreno, H. A. Rigden, A. Shi, M. Shi, X. Wang, Y. Zhang, X. Fisher, J. B. remote sensing soil water content evapotranspiration modelling algorithms decision making drought forecasting This 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. 2025-05 2025-05-15T14:02:23Z 2025-05-15T14:02:23Z Journal Article https://hdl.handle.net/10568/174618 en Open Access American Geophysical Union Huang, J.; Sehgal, V.; Alvarez, L. V.; Brocca, L.; Cai, S.; Cheng, R.; Cheng, X.; Du, J.; El Masri, B.; Endsley, K. A.; Fang, Y.; Hu, J.; Jampani, Mahesh; Kibria, Md. G.; Koren, G.; Li, L.; Liu, L.; Mao, J.; Moreno, H. A.; Rigden, A.; Shi, M.; Shi, X.; Wang, Y.; Zhang, X.; Fisher, J. B. 2025. Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society. Water Resources Research, 61(5):e2024WR037929. [doi: https://doi.org/10.1029/2024WR037929] |
| spellingShingle | remote sensing soil water content evapotranspiration modelling algorithms decision making drought forecasting Huang, J. Sehgal, V. Alvarez, L. V. Brocca, L. Cai, S. Cheng, R. Cheng, X. Du, J. El Masri, B. Endsley, K. A. Fang, Y. Hu, J. Jampani, Mahesh Kibria, Md. G. Koren, G. Li, L. Liu, L. Mao, J. Moreno, H. A. Rigden, A. Shi, M. Shi, X. Wang, Y. Zhang, X. Fisher, J. B. Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society |
| title | Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society |
| title_full | Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society |
| title_fullStr | Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society |
| title_full_unstemmed | Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society |
| title_short | Remotely sensed high-resolution soil moisture and evapotranspiration: bridging the gap between science and society |
| title_sort | remotely sensed high resolution soil moisture and evapotranspiration bridging the gap between science and society |
| topic | remote sensing soil water content evapotranspiration modelling algorithms decision making drought forecasting |
| url | https://hdl.handle.net/10568/174618 |
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