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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Format: | Article |
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Copernicus Publications
2019-01-01
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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 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 m while more accurate results were generated during the summer period.</p> |
first_indexed | 2024-12-10T15:09:06Z |
format | Article |
id | doaj.art-b8d72e7b23364d3aa6678dec56f7d9d8 |
institution | Directory Open Access Journal |
issn | 1680-7340 1680-7359 |
language | English |
last_indexed | 2024-12-10T15:09:06Z |
publishDate | 2019-01-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Advances in Geosciences |
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 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 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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