Advances in Geosciences
Advances in Geosciences
ADGEO
Articles | Volume 45
Articles | Volume 45
https://doi.org/10.5194/adgeo-45-397-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/adgeo-45-397-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 45
09 Jan 2019
 | 09 Jan 2019

Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus

Evagoras Evagorou, Christodoulos Mettas, Athos Agapiou, Kyriacos Themistocleous, and Diofantos Hadjimitsis

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Adler-Golden, S. M., Acharya, P. K., Berk, A., Matthew, M. W., and Gorodetzky, D.: Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery, Trans. Geosci. Remote Sens., 43, 337–347, https://doi.org/10.1109/TGRS.2004.841246, 2005. 
Agapiou, A., Hadjimitsis, D. G., Papoutsa, C., Alexakis, D. D., and Papadavid, G.: The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus, Remote Sens., 3, 2605–2629, https://doi.org/10.3390/rs3122605, 2011. 
Chybicki, A.: Mapping South Baltic Near-Shore Bathymetry Using Sentinel-2 Observations, Polish Marit. Res., 24, 15–25, https://doi.org/10.1515/pomr-2017-0086, 2017. 
Conger, C. L., Hochberg, E. J., Fletcher, C. H., and Atkinson, M. J.: Decorrelating remote sensing color bands from bathymetry in optically shallow waters, IEEE T. Geosci. Remote, 44, 1655–1660, https://doi.org/10.1109/TGRS.2006.870405, 2006. 
Dekker, A., Brando, V., Anstee, J., Fyfe, S., Malthus, T., and Karpouzli, E.: Remote Sensing of Seagrass Ecosystems: Use of Spaceborne and Airborne Sensors, in Seagrasses: Biology, Ecology and Conservation, pp. 347–359, Springer Netherlands, Dordrecht, 2007. 
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Freely and open distributed optical satellite images used to obtain bathymetric data for shallow waters based on timeseries analysis of multispectral Sentinel-2 datasets. The ratio transform algorithm was implemented for twelve monthly images covering a year. Bathymetric maps were generated and compared with LIDAR measurements. The results showed that bathymetry can be obtained from satellite data within a Root Mean Square Error while more accurate results were generated during the summer.
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