Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
A Match-up Database (MDB) file structure and tools were developed to ease the validation analysis of satellite water products and to improve the exchange and processing of match-up data from different sites, missions and atmospheric correction processors. In situ remote sensing reflectance (Rrs) mea...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Remote Sensing |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frsen.2024.1330317/full |
| _version_ | 1797258483635060736 |
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| author | Luis González Vilas Vittorio E. Brando Javier A. Concha Javier A. Concha Clèmence Goyens Ana I. Dogliotti Ana I. Dogliotti David Doxaran Antoine Dille Dimitry Van der Zande |
| author_facet | Luis González Vilas Vittorio E. Brando Javier A. Concha Javier A. Concha Clèmence Goyens Ana I. Dogliotti Ana I. Dogliotti David Doxaran Antoine Dille Dimitry Van der Zande |
| author_sort | Luis González Vilas |
| collection | DOAJ |
| description | A Match-up Database (MDB) file structure and tools were developed to ease the validation analysis of satellite water products and to improve the exchange and processing of match-up data from different sites, missions and atmospheric correction processors. In situ remote sensing reflectance (Rrs) measurements were available from the HYPSTAR® (HYperspectral Pointable System for Terrestrial and Aquatic Radiometry), a new automated hyperspectral radiometer. An MDB file is a NetCDF file containing all the potential match-ups between satellite and in situ data on a specific site and within a given time window. These files are generated and manipulated with three modules developed in Python to implement the validation protocols: extract satellite data, associate each extract with co-located in situ radiometry data, and then perform the validation analysis. This work provides details on the implementation of the open-source MDB file structure and tools. The approach is demonstrated by a multi-site matchup comparison based on satellite data from the Sentinel-2 MSI and Sentinel-3 OLCI sensors, and HYPSTAR® data acquired over six water sites with diverse optical regimes from February 2021 to March 2023.The analysis of Sentinel-3 OLCI matchups across the six sites shows consistency with previous comparisons based on AERONET-OC data over extended reflectance range. We evaluated Sentinel-2 MSI reflectance data corrected with two atmospheric correction processors (ACOLITE and C2RCC) over four sites with clear to highly turbid waters. Results showed that the performance of the processors depends on the optical regime of the sites. Overall, we proved the suitability of the open-source MDB-based approach to implement validation protocols and generate automated matchup analyses for different missions, processors and sites. |
| first_indexed | 2024-04-24T22:54:15Z |
| format | Article |
| id | doaj.art-f0bb215afcfd48679567b42932004b15 |
| institution | Directory Open Access Journal |
| issn | 2673-6187 |
| language | English |
| last_indexed | 2024-04-24T22:54:15Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Remote Sensing |
| spelling | doaj.art-f0bb215afcfd48679567b42932004b152024-03-18T09:05:43ZengFrontiers Media S.A.Frontiers in Remote Sensing2673-61872024-03-01510.3389/frsen.2024.13303171330317Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structureLuis González Vilas0Vittorio E. Brando1Javier A. Concha2Javier A. Concha3Clèmence Goyens4Ana I. Dogliotti5Ana I. Dogliotti6David Doxaran7Antoine Dille8Dimitry Van der Zande9CNR-ISMAR, Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, Rome, ItalyCNR-ISMAR, Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, Rome, ItalyCNR-ISMAR, Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, Rome, ItalySerco S.p.A. c/o ESA-ESRIN, Rome, ItalyRBINS, Royal Belgian Institute of Natural Sciences (RBINS), Operational Directorate Natural Environment, Brussels, BelgiumInstituto de Astronomía y Física del Espacio, Consejo Nacional de Investigaciones Científicas y Técnicas (IAFE, CONICET/UBA), Buenos Aires, ArgentinaInstituto Franco-Argentino para el Estudio del Clima y sus Impactos (UMI-IFAECI, CNRS CONICET-UBA), Buenos Aires, ArgentinaLaboratoire d’Océanographie de Villefranche UMR7093—CNRS/SU, Villefranche-sur-Mer, FranceRBINS, Royal Belgian Institute of Natural Sciences (RBINS), Operational Directorate Natural Environment, Brussels, BelgiumRBINS, Royal Belgian Institute of Natural Sciences (RBINS), Operational Directorate Natural Environment, Brussels, BelgiumA Match-up Database (MDB) file structure and tools were developed to ease the validation analysis of satellite water products and to improve the exchange and processing of match-up data from different sites, missions and atmospheric correction processors. In situ remote sensing reflectance (Rrs) measurements were available from the HYPSTAR® (HYperspectral Pointable System for Terrestrial and Aquatic Radiometry), a new automated hyperspectral radiometer. An MDB file is a NetCDF file containing all the potential match-ups between satellite and in situ data on a specific site and within a given time window. These files are generated and manipulated with three modules developed in Python to implement the validation protocols: extract satellite data, associate each extract with co-located in situ radiometry data, and then perform the validation analysis. This work provides details on the implementation of the open-source MDB file structure and tools. The approach is demonstrated by a multi-site matchup comparison based on satellite data from the Sentinel-2 MSI and Sentinel-3 OLCI sensors, and HYPSTAR® data acquired over six water sites with diverse optical regimes from February 2021 to March 2023.The analysis of Sentinel-3 OLCI matchups across the six sites shows consistency with previous comparisons based on AERONET-OC data over extended reflectance range. We evaluated Sentinel-2 MSI reflectance data corrected with two atmospheric correction processors (ACOLITE and C2RCC) over four sites with clear to highly turbid waters. Results showed that the performance of the processors depends on the optical regime of the sites. Overall, we proved the suitability of the open-source MDB-based approach to implement validation protocols and generate automated matchup analyses for different missions, processors and sites.https://www.frontiersin.org/articles/10.3389/frsen.2024.1330317/fullocean colorsatellite validationhyperspectral reflectanceSentinel-3 OLCISentinel-2 MSIMatch-up Database (MDB) |
| spellingShingle | Luis González Vilas Vittorio E. Brando Javier A. Concha Javier A. Concha Clèmence Goyens Ana I. Dogliotti Ana I. Dogliotti David Doxaran Antoine Dille Dimitry Van der Zande Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure Frontiers in Remote Sensing ocean color satellite validation hyperspectral reflectance Sentinel-3 OLCI Sentinel-2 MSI Match-up Database (MDB) |
| title | Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure |
| title_full | Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure |
| title_fullStr | Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure |
| title_full_unstemmed | Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure |
| title_short | Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure |
| title_sort | validation of satellite water products based on hypernets in situ data using a match up database mdb file structure |
| topic | ocean color satellite validation hyperspectral reflectance Sentinel-3 OLCI Sentinel-2 MSI Match-up Database (MDB) |
| url | https://www.frontiersin.org/articles/10.3389/frsen.2024.1330317/full |
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