Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA
Observed by satellites for more than a decade, surface soil moisture (SSM) is an essential component of the Earth system. Today, with the Sentinel missions, SSM can be derived at a sub-kilometer spatial resolution. In this work, aggregated 1 km × 1 km SSM observations combining Sentinel-1 (S1) and S...
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MDPI AG
2023-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/17/4329 |
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| author | Oscar Rojas-Munoz Jean-Christophe Calvet Bertrand Bonan Nicolas Baghdadi Catherine Meurey Adrien Napoly Jean-Pierre Wigneron Mehrez Zribi |
| author_facet | Oscar Rojas-Munoz Jean-Christophe Calvet Bertrand Bonan Nicolas Baghdadi Catherine Meurey Adrien Napoly Jean-Pierre Wigneron Mehrez Zribi |
| author_sort | Oscar Rojas-Munoz |
| collection | DOAJ |
| description | Observed by satellites for more than a decade, surface soil moisture (SSM) is an essential component of the Earth system. Today, with the Sentinel missions, SSM can be derived at a sub-kilometer spatial resolution. In this work, aggregated 1 km × 1 km SSM observations combining Sentinel-1 (S1) and Sentinel-2 (S2) data are assimilated for the first time into the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land surface model using the global Land Data Assimilation System (LDAS-Monde) tool of Meteo-France. The ISBA simulations are driven by atmospheric variables from the Application of Research to Operations at Mesoscale (AROME) numerical weather prediction model for the period 2017–2019 for two regions in Southern France, Toulouse and Montpellier, and for the Salamanca region in Spain. The S1 SSM shows a good agreement with in situ SSM observations. The S1 SSM is assimilated either alone or together with leaf area index (LAI) observations from the PROBA-V satellite. The assimilation of S1 SSM alone has a small impact on the simulated root zone soil moisture. On the other hand, a marked impact of the assimilation is observed over agricultural areas when LAI is assimilated, and the impact is larger when S1 SSM and LAI are assimilated together. |
| first_indexed | 2024-03-10T23:13:11Z |
| format | Article |
| id | doaj.art-379d9c5bbbb84b6eb25176967ec591e1 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T23:13:11Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-379d9c5bbbb84b6eb25176967ec591e12023-11-19T08:47:42ZengMDPI AGRemote Sensing2072-42922023-09-011517432910.3390/rs15174329Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBAOscar Rojas-Munoz0Jean-Christophe Calvet1Bertrand Bonan2Nicolas Baghdadi3Catherine Meurey4Adrien Napoly5Jean-Pierre Wigneron6Mehrez Zribi7CNRM, Université de Toulouse, Météo-France, CNRS, 31057 Toulouse, FranceCNRM, Université de Toulouse, Météo-France, CNRS, 31057 Toulouse, FranceCNRM, Université de Toulouse, Météo-France, CNRS, 31057 Toulouse, FranceINRAE, UMR TETIS, Université de Montpellier, AgroParisTech, 34093 Montpellier, FranceCNRM, Université de Toulouse, Météo-France, CNRS, 31057 Toulouse, FranceCNRM, Université de Toulouse, Météo-France, CNRS, 31057 Toulouse, FranceINRAE, UMR ISPA, Université de Bordeaux, 33140 Villenave d’Ornon, FranceCESBIO (CNES/CNRS/IRD/INRAE/UPS), 31401 Toulouse, FranceObserved by satellites for more than a decade, surface soil moisture (SSM) is an essential component of the Earth system. Today, with the Sentinel missions, SSM can be derived at a sub-kilometer spatial resolution. In this work, aggregated 1 km × 1 km SSM observations combining Sentinel-1 (S1) and Sentinel-2 (S2) data are assimilated for the first time into the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land surface model using the global Land Data Assimilation System (LDAS-Monde) tool of Meteo-France. The ISBA simulations are driven by atmospheric variables from the Application of Research to Operations at Mesoscale (AROME) numerical weather prediction model for the period 2017–2019 for two regions in Southern France, Toulouse and Montpellier, and for the Salamanca region in Spain. The S1 SSM shows a good agreement with in situ SSM observations. The S1 SSM is assimilated either alone or together with leaf area index (LAI) observations from the PROBA-V satellite. The assimilation of S1 SSM alone has a small impact on the simulated root zone soil moisture. On the other hand, a marked impact of the assimilation is observed over agricultural areas when LAI is assimilated, and the impact is larger when S1 SSM and LAI are assimilated together.https://www.mdpi.com/2072-4292/15/17/4329Sentinel-1data assimilationsoil moistureleaf area index |
| spellingShingle | Oscar Rojas-Munoz Jean-Christophe Calvet Bertrand Bonan Nicolas Baghdadi Catherine Meurey Adrien Napoly Jean-Pierre Wigneron Mehrez Zribi Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA Remote Sensing Sentinel-1 data assimilation soil moisture leaf area index |
| title | Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA |
| title_full | Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA |
| title_fullStr | Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA |
| title_full_unstemmed | Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA |
| title_short | Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA |
| title_sort | soil moisture monitoring at kilometer scale assimilation of sentinel 1 products in isba |
| topic | Sentinel-1 data assimilation soil moisture leaf area index |
| url | https://www.mdpi.com/2072-4292/15/17/4329 |
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