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

<p>During the last years, various methods and techniques have been used to estimate the seafloor topography with high accuracy. The topography is considered an important component for marine applications since several activities and infrastructures are being carried out at the bottom, column a...

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Main Authors: E. Evagorou, C. Mettas, A. Agapiou, K. Themistocleous, D. Hadjimitsis
Format: Article
Language:English
Published: Copernicus Publications 2019-01-01
Series:Advances in Geosciences
Online Access:https://www.adv-geosci.net/45/397/2019/adgeo-45-397-2019.pdf
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author E. Evagorou
C. Mettas
A. Agapiou
K. Themistocleous
D. Hadjimitsis
author_facet E. Evagorou
C. Mettas
A. Agapiou
K. Themistocleous
D. Hadjimitsis
author_sort E. Evagorou
collection DOAJ
description <p>During the last years, various methods and techniques have been used to estimate the seafloor topography with high accuracy. The topography is considered an important component for marine applications since several activities and infrastructures are being carried out at the bottom, column and surface of the sea. In this, study, freely and open distributed optical satellite images were used to obtain bathymetric data for shallow waters, (until 30&thinsp;m below sea level) based on timeseries analysis of multispectral Sentinel-2 datasets. The ratio transform algorithm was implemented for twelve (12) monthly images covering thus a whole year. The different generated Digital Terrain Models (DTMs) were compared with high resolution LIDAR measurements. The results showed that bathymetry can be obtained from satellite data within a Root Mean Square Error (RMSE) ranging from 1.39 up to 2.56&thinsp;m while more accurate results were generated during the summer period.</p>
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spelling doaj.art-b8d72e7b23364d3aa6678dec56f7d9d82022-12-22T01:43:59ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592019-01-014539740710.5194/adgeo-45-397-2019Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, CyprusE. Evagorou0C. Mettas1A. Agapiou2K. Themistocleous3D. Hadjimitsis4Department of Civil Engineering and Geomatics, School of Engineering and Technology, Cyprus University of Technology, 30 Arch. Kyprianos Str., 3036 Limassol, CyprusDepartment of Civil Engineering and Geomatics, School of Engineering and Technology, Cyprus University of Technology, 30 Arch. Kyprianos Str., 3036 Limassol, CyprusDepartment of Civil Engineering and Geomatics, School of Engineering and Technology, Cyprus University of Technology, 30 Arch. Kyprianos Str., 3036 Limassol, CyprusDepartment of Civil Engineering and Geomatics, School of Engineering and Technology, Cyprus University of Technology, 30 Arch. Kyprianos Str., 3036 Limassol, CyprusDepartment of Civil Engineering and Geomatics, School of Engineering and Technology, Cyprus University of Technology, 30 Arch. Kyprianos Str., 3036 Limassol, Cyprus<p>During the last years, various methods and techniques have been used to estimate the seafloor topography with high accuracy. The topography is considered an important component for marine applications since several activities and infrastructures are being carried out at the bottom, column and surface of the sea. In this, study, freely and open distributed optical satellite images were used to obtain bathymetric data for shallow waters, (until 30&thinsp;m below sea level) based on timeseries analysis of multispectral Sentinel-2 datasets. The ratio transform algorithm was implemented for twelve (12) monthly images covering thus a whole year. The different generated Digital Terrain Models (DTMs) were compared with high resolution LIDAR measurements. The results showed that bathymetry can be obtained from satellite data within a Root Mean Square Error (RMSE) ranging from 1.39 up to 2.56&thinsp;m while more accurate results were generated during the summer period.</p>https://www.adv-geosci.net/45/397/2019/adgeo-45-397-2019.pdf
spellingShingle E. Evagorou
C. Mettas
A. Agapiou
K. Themistocleous
D. Hadjimitsis
Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus
Advances in Geosciences
title Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus
title_full Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus
title_fullStr Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus
title_full_unstemmed Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus
title_short Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus
title_sort bathymetric maps from multi temporal analysis of sentinel 2 data the case study of limassol cyprus
url https://www.adv-geosci.net/45/397/2019/adgeo-45-397-2019.pdf
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