Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals
Integrating satellite observations into hydrologic models has the potential to enhance soil moisture (SM) retrievals at high spatial and temporal resolutions. The hydrological model Soil and Water Assessment Tool (SWAT) can produce spatiotemporally continuous SM product with high resolution. This ar...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10234599/ |
| _version_ | 1797680873293742080 |
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| author | Luyao Zhu Junyu Qi Hongquan Wang Mengmeng Zhou Yang Ye Yongjun Li Cheng Tong Xiaodong Deng Shan He Ke Wang |
| author_facet | Luyao Zhu Junyu Qi Hongquan Wang Mengmeng Zhou Yang Ye Yongjun Li Cheng Tong Xiaodong Deng Shan He Ke Wang |
| author_sort | Luyao Zhu |
| collection | DOAJ |
| description | Integrating satellite observations into hydrologic models has the potential to enhance soil moisture (SM) retrievals at high spatial and temporal resolutions. The hydrological model Soil and Water Assessment Tool (SWAT) can produce spatiotemporally continuous SM product with high resolution. This article proposed to physically couple the SWAT and <italic>Tau-omega</italic> radiative transfer model to retrieve SM with a spatial resolution of 30 m. First, the SWAT model integrated a physically based SM module used to simulate hourly SM, from which the brightness temperature (<italic>TB</italic>) at 30 m was obtained by forwardly simulating the <italic>Tau-omega</italic> model. Then, the simulated <italic>TB</italic> at fine resolution and Soil Moisture Active and Passive (SMAP) <italic>TB</italic> at coarse resolution were merged by Kalman filter into a disaggregated <italic>TB</italic>. Finally, SM at 30 m resolution was retrieved from the disaggregated <italic>TB</italic>. The proposed methods were evaluated over the Lanjiang River Basin. The results show that the retrieved SM is highly correlated with two official SMAP SM products and that it has a better accuracy than five SMAP SM products. Particularly, due to the high resolution, the retrieved product captured the heterogeneity of SM within and among fields, compared to the individual use of the hydrological model or satellite observation. Our proposed approach can aid the decision-making in agricultural management at the field scale. |
| first_indexed | 2024-03-11T23:36:35Z |
| format | Article |
| id | doaj.art-0e288ec26e3c407ca3d00fd6673258a7 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-11T23:36:35Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-0e288ec26e3c407ca3d00fd6673258a72023-09-19T23:00:20ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01168319833310.1109/JSTARS.2023.331019710234599Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture RetrievalsLuyao Zhu0https://orcid.org/0009-0007-6233-251XJunyu Qi1https://orcid.org/0000-0001-5316-4226Hongquan Wang2https://orcid.org/0000-0002-4429-6515Mengmeng Zhou3Yang Ye4https://orcid.org/0000-0002-3289-0170Yongjun Li5Cheng Tong6https://orcid.org/0000-0002-6191-3263Xiaodong Deng7https://orcid.org/0000-0003-3038-5047Shan He8Ke Wang9College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, ChinaEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USACollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, ChinaCollege of Business, Changzhou University, Changzhou, ChinaCollege of Spatial Planning and Design, Zhejiang University City College, Hangzhou, ChinaCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, ChinaCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, ChinaCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou, ChinaCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou, ChinaIntegrating satellite observations into hydrologic models has the potential to enhance soil moisture (SM) retrievals at high spatial and temporal resolutions. The hydrological model Soil and Water Assessment Tool (SWAT) can produce spatiotemporally continuous SM product with high resolution. This article proposed to physically couple the SWAT and <italic>Tau-omega</italic> radiative transfer model to retrieve SM with a spatial resolution of 30 m. First, the SWAT model integrated a physically based SM module used to simulate hourly SM, from which the brightness temperature (<italic>TB</italic>) at 30 m was obtained by forwardly simulating the <italic>Tau-omega</italic> model. Then, the simulated <italic>TB</italic> at fine resolution and Soil Moisture Active and Passive (SMAP) <italic>TB</italic> at coarse resolution were merged by Kalman filter into a disaggregated <italic>TB</italic>. Finally, SM at 30 m resolution was retrieved from the disaggregated <italic>TB</italic>. The proposed methods were evaluated over the Lanjiang River Basin. The results show that the retrieved SM is highly correlated with two official SMAP SM products and that it has a better accuracy than five SMAP SM products. Particularly, due to the high resolution, the retrieved product captured the heterogeneity of SM within and among fields, compared to the individual use of the hydrological model or satellite observation. Our proposed approach can aid the decision-making in agricultural management at the field scale.https://ieeexplore.ieee.org/document/10234599/Brightness temperature (<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$TB$</tex-math> </inline-formula> </named-content>)high spatial resolutionsoil moisture (SM)Soil Moisture Active and Passive (SMAP)Soil and Water Assessment Tool (SWAT)<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$Tau-omega$</tex-math> </inline-formula> </named-content> model |
| spellingShingle | Luyao Zhu Junyu Qi Hongquan Wang Mengmeng Zhou Yang Ye Yongjun Li Cheng Tong Xiaodong Deng Shan He Ke Wang Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Brightness temperature (<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$TB$</tex-math> </inline-formula> </named-content>) high spatial resolution soil moisture (SM) Soil Moisture Active and Passive (SMAP) Soil and Water Assessment Tool (SWAT) <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$Tau-omega$</tex-math> </inline-formula> </named-content> model |
| title | Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals |
| title_full | Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals |
| title_fullStr | Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals |
| title_full_unstemmed | Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals |
| title_short | Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals |
| title_sort | coupling smap brightness temperature into swat hydrological model for 30 m resolution soil moisture retrievals |
| topic | Brightness temperature (<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$TB$</tex-math> </inline-formula> </named-content>) high spatial resolution soil moisture (SM) Soil Moisture Active and Passive (SMAP) Soil and Water Assessment Tool (SWAT) <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$Tau-omega$</tex-math> </inline-formula> </named-content> model |
| url | https://ieeexplore.ieee.org/document/10234599/ |
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