@article{fdi:010076665,
  title = {{R}adon-augmented sentinel-2 satellite imagery to derive wave-patterns and regional bathymetry},
  author = {{B}ergsma, {E}. {W}. {J}. and {A}lmar, {R}afa{\¨e}l and {M}aisongrande, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}limatological changes occur globally but have local impacts. {I}ncreased storminess, sea level rise and more powerful waves are expected to batter the coastal zone more often and more intense. {T}o 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 {A} major issue is that the bathymetries are often non-existent or if they do exist, outdated. {T}his sparsity can be overcome by space-borne satellite techniques to derive bathymetry. {S}entinel-2 optical imagery is collected continuously and has a revisit-time around a few days depending on the orbital-position around the world. {I}n this work, {S}entinel-2 imagery derived wave patterns are extracted using a localized radon transform. {A} discrete fast-{F}ourier ({DFT}) procedure per direction in {R}adon space (sinogram) is then applied to derive wave spectra. {S}entinel-2 time-lag between detector bands is employed to compute the spectral wave-phase shift and depth using the gravity wave linear dispersion. {W}ith this novel technique, regional bathymetries are derived at the test-site of {C}apbreton, {F}rance 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. {W}ith the proposed method, the 10 m {S}entinel-2 resolution is sufficient to adequately estimate bathymetries for a wave period of 6.5 s or greater. {F}or shorter periods, the pixel resolution does not allow to detect a stable celerity. {I}n addition to the wave-signature enhancement, the capability of the {R}adon {T}ransform to augment {S}entinel-2 20 m resolution imagery to 10 m is demonstrated, increasing the number of suitable bands for the depth inversion.},
  keywords = {{S}entinel-2 ; radon transform ; remote sensing ; bathymetry inversion ; multi-scale monitoring ; image augmentation ; {FRANCE} ; {BISCAYE} {BAIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {11},
  numero = {16},
  pages = {art. 1918 [16 p.]},
  year = {2019},
  DOI = {10.3390/rs11161918},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076665},
}