Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment
Observations acquired by the SPOT-VEGETATION and PROBA-V missions offer a unique opportunity to improve our understanding of the climate, providing global and continuous data over the land surface over 20 years. The possibility of generating a long-term climate data record from the entire archive, s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/21/5109 |
| _version_ | 1797631342266023936 |
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| author | Marta Luffarelli Lucio Franceschini Yves Govaerts Fabrizio Niro Erminia De Grandis |
| author_facet | Marta Luffarelli Lucio Franceschini Yves Govaerts Fabrizio Niro Erminia De Grandis |
| author_sort | Marta Luffarelli |
| collection | DOAJ |
| description | Observations acquired by the SPOT-VEGETATION and PROBA-V missions offer a unique opportunity to improve our understanding of the climate, providing global and continuous data over the land surface over 20 years. The possibility of generating a long-term climate data record from the entire archive, stored on the Mission Exploitation Platform (MEP), is here explored. For this purpose, in the framework of the ESA-funded SPAR@MEP project, the Combined Inversion of Surface and Aerosols (CISAR) algorithm has been applied to the SPOT-VGT and PROBA-V archive, following the harmonization of the observations according to the Fidelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) principles. CISAR has been applied to the full 20-year harmonized archive over key areas, as well as to one year of global acquisition from PROBA-V, processed at 5 km resolution, to derive aerosol single-scattering properties and surface reflectance. The retrieval is evaluated in terms of consistency among the three sensors and against reference datasets, including ground-based observations, models, and other sensor products. This activity has revealed the importance of characterizing the radiometric uncertainty for every processed pixel. |
| first_indexed | 2024-03-11T11:22:23Z |
| format | Article |
| id | doaj.art-86560db5fc784fc29c207e67ad702d37 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T11:22:23Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-86560db5fc784fc29c207e67ad702d372023-11-10T15:11:04ZengMDPI AGRemote Sensing2072-42922023-10-011521510910.3390/rs15215109Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform EnvironmentMarta Luffarelli0Lucio Franceschini1Yves Govaerts2Fabrizio Niro3Erminia De Grandis4Rayference, 1000 Brussels, BelgiumRayference, 1000 Brussels, BelgiumRayference, 1000 Brussels, BelgiumESA/ESRIN, 00044 Frascati, ItalyAlmavivA S.p.A, 00159 Rome, ItalyObservations acquired by the SPOT-VEGETATION and PROBA-V missions offer a unique opportunity to improve our understanding of the climate, providing global and continuous data over the land surface over 20 years. The possibility of generating a long-term climate data record from the entire archive, stored on the Mission Exploitation Platform (MEP), is here explored. For this purpose, in the framework of the ESA-funded SPAR@MEP project, the Combined Inversion of Surface and Aerosols (CISAR) algorithm has been applied to the SPOT-VGT and PROBA-V archive, following the harmonization of the observations according to the Fidelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) principles. CISAR has been applied to the full 20-year harmonized archive over key areas, as well as to one year of global acquisition from PROBA-V, processed at 5 km resolution, to derive aerosol single-scattering properties and surface reflectance. The retrieval is evaluated in terms of consistency among the three sensors and against reference datasets, including ground-based observations, models, and other sensor products. This activity has revealed the importance of characterizing the radiometric uncertainty for every processed pixel.https://www.mdpi.com/2072-4292/15/21/5109aerosolsinversionoptimal estimationMEPsurfaceVGT |
| spellingShingle | Marta Luffarelli Lucio Franceschini Yves Govaerts Fabrizio Niro Erminia De Grandis Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment Remote Sensing aerosols inversion optimal estimation MEP surface VGT |
| title | Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment |
| title_full | Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment |
| title_fullStr | Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment |
| title_full_unstemmed | Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment |
| title_short | Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment |
| title_sort | surface reflectance and aerosol retrieval from spot vgt and proba v in the mission exploitation platform environment |
| topic | aerosols inversion optimal estimation MEP surface VGT |
| url | https://www.mdpi.com/2072-4292/15/21/5109 |
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