Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates
The correction of atmospheric effects on optical remote sensing products is an essential component of Analysis Ready Data (ARD) production lines. The MAJA processor aims at providing accurate time series of surface reflectances over land for satellite missions, such as Sentinel-2, Venμs, and Landsat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/10/2665 |
| _version_ | 1827740191531466752 |
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| author | Jérôme Colin Olivier Hagolle Lucas Landier Sophie Coustance Peter Kettig Aimé Meygret Julien Osman Eric Vermote |
| author_facet | Jérôme Colin Olivier Hagolle Lucas Landier Sophie Coustance Peter Kettig Aimé Meygret Julien Osman Eric Vermote |
| author_sort | Jérôme Colin |
| collection | DOAJ |
| description | The correction of atmospheric effects on optical remote sensing products is an essential component of Analysis Ready Data (ARD) production lines. The MAJA processor aims at providing accurate time series of surface reflectances over land for satellite missions, such as Sentinel-2, Venμs, and Landsat 8. The Centre d’Études Spatiales de la Biosphère (CESBIO) and the Centre National d’Études Spatiales (CNES) share a common effort to maintain, validate, and improve the MAJA processor, using state-of-the-art ground measurement sites, and participating in processor inter-comparisons, such as the Atmospheric Correction Intercomparison Exercise (ACIX). While contributing to the second ACIX-II Land validation exercise, it was found that the candidate MAJA dataset could not adequately be compared to the main reference dataset. MAJA reflectances were corrected for adjacency and topography effects while the reference dataset was not, excluding MAJA from a part of the performance metrics of the exercise. The first part of the following study aims at providing complementary performance assessment to ACIX-II by reprocessing MAJA surface reflectances without adjacency nor topographic correction, allowing for an un-biased full resolution comparison with the reference Sentinel-2 dataset. The second part of the study consists of validating MAJA against surface reflectance measurements time series of up to five years acquired at three automated stations. Both approaches provide extensive insights on the quality of MAJA Sentinel-2 Level 2 products. |
| first_indexed | 2024-03-11T03:21:29Z |
| format | Article |
| id | doaj.art-7a75de0eb6564c378024b2024554b253 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T03:21:29Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-7a75de0eb6564c378024b2024554b2532023-11-18T03:08:25ZengMDPI AGRemote Sensing2072-42922023-05-011510266510.3390/rs15102665Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance EstimatesJérôme Colin0Olivier Hagolle1Lucas Landier2Sophie Coustance3Peter Kettig4Aimé Meygret5Julien Osman6Eric Vermote7Centre d’Études Spatiales de la Biosphère, UMR 5126 CESBIO (CNRS/CNES/UPS/IRD), 18 Avenue Edouard Belin, CEDEX 9, 31401 Toulouse, FranceCentre d’Études Spatiales de la Biosphère, UMR 5126 CESBIO (CNRS/CNES/UPS/IRD), 18 Avenue Edouard Belin, CEDEX 9, 31401 Toulouse, FranceCentre National d’Études Spatiales, 18 Avenue Edouard Belin, CEDEX 9, 31401 Toulouse, FranceCentre National d’Études Spatiales, 18 Avenue Edouard Belin, CEDEX 9, 31401 Toulouse, FranceCentre National d’Études Spatiales, 18 Avenue Edouard Belin, CEDEX 9, 31401 Toulouse, FranceCentre National d’Études Spatiales, 18 Avenue Edouard Belin, CEDEX 9, 31401 Toulouse, FranceCS GROUP, Zone d’aménagement Concerté de la Grande Plaine, 6 Rue Brindejonc des Moulinais, 31500 Toulouse, FranceNASA Goddard Space Flight Center Code 619, Greenbelt, MD 20771, USAThe correction of atmospheric effects on optical remote sensing products is an essential component of Analysis Ready Data (ARD) production lines. The MAJA processor aims at providing accurate time series of surface reflectances over land for satellite missions, such as Sentinel-2, Venμs, and Landsat 8. The Centre d’Études Spatiales de la Biosphère (CESBIO) and the Centre National d’Études Spatiales (CNES) share a common effort to maintain, validate, and improve the MAJA processor, using state-of-the-art ground measurement sites, and participating in processor inter-comparisons, such as the Atmospheric Correction Intercomparison Exercise (ACIX). While contributing to the second ACIX-II Land validation exercise, it was found that the candidate MAJA dataset could not adequately be compared to the main reference dataset. MAJA reflectances were corrected for adjacency and topography effects while the reference dataset was not, excluding MAJA from a part of the performance metrics of the exercise. The first part of the following study aims at providing complementary performance assessment to ACIX-II by reprocessing MAJA surface reflectances without adjacency nor topographic correction, allowing for an un-biased full resolution comparison with the reference Sentinel-2 dataset. The second part of the study consists of validating MAJA against surface reflectance measurements time series of up to five years acquired at three automated stations. Both approaches provide extensive insights on the quality of MAJA Sentinel-2 Level 2 products.https://www.mdpi.com/2072-4292/15/10/2665surface reflectanceSentinel-2bidirectional reflectance distribution functionatmospheric correctionaerosolsMAJA |
| spellingShingle | Jérôme Colin Olivier Hagolle Lucas Landier Sophie Coustance Peter Kettig Aimé Meygret Julien Osman Eric Vermote Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates Remote Sensing surface reflectance Sentinel-2 bidirectional reflectance distribution function atmospheric correction aerosols MAJA |
| title | Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates |
| title_full | Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates |
| title_fullStr | Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates |
| title_full_unstemmed | Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates |
| title_short | Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates |
| title_sort | assessment of the performance of the atmospheric correction algorithm maja for sentinel 2 surface reflectance estimates |
| topic | surface reflectance Sentinel-2 bidirectional reflectance distribution function atmospheric correction aerosols MAJA |
| url | https://www.mdpi.com/2072-4292/15/10/2665 |
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