Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry
Climatological changes occur globally but have local impacts. Increased storminess, sea level rise and more powerful waves are expected to batter the coastal zone more often and more intense. To understand climate change impacts, regional bathymetry information is paramount. A major issue is that th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/11/16/1918 |
| _version_ | 1818974214768558080 |
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| author | Erwin W. J. Bergsma Rafael Almar Philippe Maisongrande |
| author_facet | Erwin W. J. Bergsma Rafael Almar Philippe Maisongrande |
| author_sort | Erwin W. J. Bergsma |
| collection | DOAJ |
| description | Climatological changes occur globally but have local impacts. Increased storminess, sea level rise and more powerful waves are expected to batter the coastal zone more often and more intense. To understand climate change impacts, regional bathymetry information is paramount. A major issue is that the bathymetries are often non-existent or if they do exist, outdated. This sparsity can be overcome by space-borne satellite techniques to derive bathymetry. Sentinel-2 optical imagery is collected continuously and has a revisit-time around a few days depending on the orbital-position around the world. In this work, Sentinel-2 imagery derived wave patterns are extracted using a localized radon transform. A discrete fast-Fourier (DFT) procedure per direction in Radon space (sinogram) is then applied to derive wave spectra. Sentinel-2 time-lag between detector bands is employed to compute the spectral wave-phase shift and depth using the gravity wave linear dispersion. With this novel technique, regional bathymetries are derived at the test-site of Capbreton, France with an root mean squared (RMS)-error of 2.58 m and a correlation coefficient of 0.82 when compared to the survey for depths until 30 m. With the proposed method, the 10 m Sentinel-2 resolution is sufficient to adequately estimate bathymetries for a wave period of 6.5 s or greater. For shorter periods, the pixel resolution does not allow to detect a stable celerity. In addition to the wave-signature enhancement, the capability of the Radon Transform to augment Sentinel-2 20 m resolution imagery to 10 m is demonstrated, increasing the number of suitable bands for the depth inversion. |
| first_indexed | 2024-12-20T15:36:30Z |
| format | Article |
| id | doaj.art-85492fe3206f411582fae7fa721da5b8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T15:36:30Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-85492fe3206f411582fae7fa721da5b82022-12-21T19:35:23ZengMDPI AGRemote Sensing2072-42922019-08-011116191810.3390/rs11161918rs11161918Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional BathymetryErwin W. J. Bergsma0Rafael Almar1Philippe Maisongrande2CNES-LEGOS, UMR-5566, 14 Avenue Edouard Belin, 31400 Toulouse, FranceIRD-LEGOS, UMR-5566, 14 Avenue Edouard Belin, 31400 Toulouse, FranceCNES, 18 Avenue Edouard Belin, 31400 Toulouse, FranceClimatological changes occur globally but have local impacts. Increased storminess, sea level rise and more powerful waves are expected to batter the coastal zone more often and more intense. To understand climate change impacts, regional bathymetry information is paramount. A major issue is that the bathymetries are often non-existent or if they do exist, outdated. This sparsity can be overcome by space-borne satellite techniques to derive bathymetry. Sentinel-2 optical imagery is collected continuously and has a revisit-time around a few days depending on the orbital-position around the world. In this work, Sentinel-2 imagery derived wave patterns are extracted using a localized radon transform. A discrete fast-Fourier (DFT) procedure per direction in Radon space (sinogram) is then applied to derive wave spectra. Sentinel-2 time-lag between detector bands is employed to compute the spectral wave-phase shift and depth using the gravity wave linear dispersion. With this novel technique, regional bathymetries are derived at the test-site of Capbreton, France with an root mean squared (RMS)-error of 2.58 m and a correlation coefficient of 0.82 when compared to the survey for depths until 30 m. With the proposed method, the 10 m Sentinel-2 resolution is sufficient to adequately estimate bathymetries for a wave period of 6.5 s or greater. For shorter periods, the pixel resolution does not allow to detect a stable celerity. In addition to the wave-signature enhancement, the capability of the Radon Transform to augment Sentinel-2 20 m resolution imagery to 10 m is demonstrated, increasing the number of suitable bands for the depth inversion.https://www.mdpi.com/2072-4292/11/16/1918Sentinel-2radon transformremote sensingbathymetry inversionmulti-scale monitoringimage augmentation |
| spellingShingle | Erwin W. J. Bergsma Rafael Almar Philippe Maisongrande Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry Remote Sensing Sentinel-2 radon transform remote sensing bathymetry inversion multi-scale monitoring image augmentation |
| title | Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry |
| title_full | Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry |
| title_fullStr | Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry |
| title_full_unstemmed | Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry |
| title_short | Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry |
| title_sort | radon augmented sentinel 2 satellite imagery to derive wave patterns and regional bathymetry |
| topic | Sentinel-2 radon transform remote sensing bathymetry inversion multi-scale monitoring image augmentation |
| url | https://www.mdpi.com/2072-4292/11/16/1918 |
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