Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone

Coasts are areas of vitality because they host numerous activities worldwide. Despite their major importance, the knowledge of the main characteristics of the majority of coastal areas (e.g., coastal bathymetry) is still very limited. This is mainly due to the scarcity and lack of accurate measureme...

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Autores principales:	Mohamed Wassim Baba, Gregoire Thoumyre, Erwin W. J. Bergsma, Christopher J. Daly, Rafael Almar
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	bathymetry Sentinel-2 remote sensing North Africa HPC Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/2fd96cfeb7f045df8b0c7db848967623
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id	oai:doaj.org-article:2fd96cfeb7f045df8b0c7db848967623
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spelling	oai:doaj.org-article:2fd96cfeb7f045df8b0c7db8489676232021-11-11T19:02:47ZDeriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone10.3390/s212170061424-8220https://doaj.org/article/2fd96cfeb7f045df8b0c7db8489676232021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7006https://doaj.org/toc/1424-8220Coasts are areas of vitality because they host numerous activities worldwide. Despite their major importance, the knowledge of the main characteristics of the majority of coastal areas (e.g., coastal bathymetry) is still very limited. This is mainly due to the scarcity and lack of accurate measurements or observations, and the sparsity of coastal waters. Moreover, the high cost of performing observations with conventional methods does not allow expansion of the monitoring chain in different coastal areas. In this study, we suggest that the advent of remote sensing data (e.g., Sentinel 2A/B) and high performance computing could open a new perspective to overcome the lack of coastal observations. Indeed, previous research has shown that it is possible to derive large-scale coastal bathymetry from S-2 images. The large S-2 coverage, however, leads to a high computational cost when post-processing the images. Thus, we develop a methodology implemented on a High-Performance cluster (HPC) to derive the bathymetry from S-2 over the globe. In this paper, we describe the conceptualization and implementation of this methodology. Moreover, we will give a general overview of the generated bathymetry map for NA compared with the reference GEBCO global bathymetric product. Finally, we will highlight some hotspots by looking closely to their outputs.Mohamed Wassim BabaGregoire ThoumyreErwin W. J. BergsmaChristopher J. DalyRafael AlmarMDPI AGarticlebathymetrySentinel-2remote sensingNorth AfricaHPCChemical technologyTP1-1185ENSensors, Vol 21, Iss 7006, p 7006 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bathymetry Sentinel-2 remote sensing North Africa HPC Chemical technology TP1-1185
spellingShingle	bathymetry Sentinel-2 remote sensing North Africa HPC Chemical technology TP1-1185 Mohamed Wassim Baba Gregoire Thoumyre Erwin W. J. Bergsma Christopher J. Daly Rafael Almar Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
description	Coasts are areas of vitality because they host numerous activities worldwide. Despite their major importance, the knowledge of the main characteristics of the majority of coastal areas (e.g., coastal bathymetry) is still very limited. This is mainly due to the scarcity and lack of accurate measurements or observations, and the sparsity of coastal waters. Moreover, the high cost of performing observations with conventional methods does not allow expansion of the monitoring chain in different coastal areas. In this study, we suggest that the advent of remote sensing data (e.g., Sentinel 2A/B) and high performance computing could open a new perspective to overcome the lack of coastal observations. Indeed, previous research has shown that it is possible to derive large-scale coastal bathymetry from S-2 images. The large S-2 coverage, however, leads to a high computational cost when post-processing the images. Thus, we develop a methodology implemented on a High-Performance cluster (HPC) to derive the bathymetry from S-2 over the globe. In this paper, we describe the conceptualization and implementation of this methodology. Moreover, we will give a general overview of the generated bathymetry map for NA compared with the reference GEBCO global bathymetric product. Finally, we will highlight some hotspots by looking closely to their outputs.
format	article
author	Mohamed Wassim Baba Gregoire Thoumyre Erwin W. J. Bergsma Christopher J. Daly Rafael Almar
author_facet	Mohamed Wassim Baba Gregoire Thoumyre Erwin W. J. Bergsma Christopher J. Daly Rafael Almar
author_sort	Mohamed Wassim Baba
title	Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
title_short	Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
title_full	Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
title_fullStr	Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
title_full_unstemmed	Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
title_sort	deriving large-scale coastal bathymetry from sentinel-2 images using an high-performance cluster: a case study covering north africa’s coastal zone
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2fd96cfeb7f045df8b0c7db848967623
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Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone

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