Casal, Gema, Hedley, John D., Monteys, Xavier, Harris, Paul, Cahalane, Conor and McCarthy, Tim (2020) Satellite-derived bathymetry in optically complex waters using a model inversion approach and Sentinel-2 data. Estuarine, Coastal and Shelf Science, 241. p. 106814. ISSN 0272-7714
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Abstract
This study presents an assessment of a model inversion approach to derive shallow water bathymetry in optically
complex waters, with the aim of both understanding localised capability and contributing to the global evaluation of Sentinel-2 for coastal monitoring. A dataset of 12 Sentinel-2 MSI images, in three different study areas
along the Irish coast, has been analysed. Before the application of the bathymetric model two atmospheric
correction procedures were tested: Deep Water Correction (DWC) and Case 2 Regional Coastal Color (C2RCC)
processor. DWC outperformed C2RCC in the majority of the satellite images showing more consistent results.
Using DWC for atmospheric correction before the application of the bathymetric model, the lowest average RMSE
was found in Dublin Bay (RMSE ¼ 1.60, bias ¼ )
Item Type: | Article |
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Additional Information: | Cite as: Gema Casal, John D. Hedley, Xavier Monteys, Paul Harris, Conor Cahalane, Tim McCarthy, Satellite-derived bathymetry in optically complex waters using a model inversion approach and Sentinel-2 data, Estuarine, Coastal and Shelf Science, Volume 241, 2020, 106814,ISSN 0272-7714, https://doi.org/10.1016/j.ecss.2020.106814. |
Keywords: | Bathymetry; Atmospheric correction; Model inversion; Coastal monitoring; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI |
Item ID: | 15895 |
Identification Number: | 10.1016/j.ecss.2020.106814 |
Depositing User: | Conor Cahalane |
Date Deposited: | 28 Apr 2022 10:52 |
Journal or Publication Title: | Estuarine, Coastal and Shelf Science |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15895 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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