Casal, Gema and Hedley, John D. and Monteys, Xavier and Harris, Paul and 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
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:	https://doi.org/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
URI:	Publisher
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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