The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

Accurate determination of water depth is indispensable in multiple aspects of civil engineering (dock construction, dikes, submarines outfalls, trench control, etc.). To determine the type of atmospheric correction most appropriate for the depth estimation, different accuracies are required. Acc...

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Main Authors: E. Castillo-López, J. A. Dominguez, R. Pereda, J. M. de Luis, R. Pérez, F. Piña
Format: Article
Language:English
Published: Copernicus Publications 2017-10-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/10/3919/2017/amt-10-3919-2017.pdf
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author E. Castillo-López
J. A. Dominguez
R. Pereda
J. M. de Luis
R. Pérez
F. Piña
author_facet E. Castillo-López
J. A. Dominguez
R. Pereda
J. M. de Luis
R. Pérez
F. Piña
author_sort E. Castillo-López
collection DOAJ
description Accurate determination of water depth is indispensable in multiple aspects of civil engineering (dock construction, dikes, submarines outfalls, trench control, etc.). To determine the type of atmospheric correction most appropriate for the depth estimation, different accuracies are required. Accuracy in bathymetric information is highly dependent on the atmospheric correction made to the imagery. The reduction of effects such as glint and cross-track illumination in homogeneous shallow-water areas improves the results of the depth estimations. The aim of this work is to assess the best atmospheric correction method for the estimation of depth in shallow waters, considering that reflectance values cannot be greater than 1.5 % because otherwise the background would not be seen. This paper addresses the use of hyperspectral imagery to quantitative bathymetric mapping and explores one of the most common problems when attempting to extract depth information in conditions of variable water types and bottom reflectances. The current work assesses the accuracy of some classical bathymetric algorithms (Polcyn–Lyzenga, Philpot, Benny–Dawson, Hamilton, principal component analysis) when four different atmospheric correction methods are applied and water depth is derived. No atmospheric correction is valid for all type of coastal waters, but in heterogeneous shallow water the model of atmospheric correction 6S offers good results.
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spelling doaj.art-e4dc542932e5489c8a2cffa102681c3b2022-12-22T01:37:21ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482017-10-01103919392910.5194/amt-10-3919-2017The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimationE. Castillo-López0J. A. Dominguez1R. Pereda2J. M. de Luis3R. Pérez4F. Piña5Department of Geographic Engineering and Techniques of Graphical Expression, University of Cantabria, 39005, SpainDepartment of Mathematical Physics and Fluids, Science Faculty, National Distance Education University (UNED), Madrid, SpainDepartment of Geographic Engineering and Techniques of Graphical Expression, University of Cantabria, 39005, SpainDepartment of Geographic Engineering and Techniques of Graphical Expression, University of Cantabria, 39005, SpainDepartment of Geographic Engineering and Techniques of Graphical Expression, University of Cantabria, 39005, SpainDepartment of Geographic Engineering and Techniques of Graphical Expression, University of Cantabria, 39005, SpainAccurate determination of water depth is indispensable in multiple aspects of civil engineering (dock construction, dikes, submarines outfalls, trench control, etc.). To determine the type of atmospheric correction most appropriate for the depth estimation, different accuracies are required. Accuracy in bathymetric information is highly dependent on the atmospheric correction made to the imagery. The reduction of effects such as glint and cross-track illumination in homogeneous shallow-water areas improves the results of the depth estimations. The aim of this work is to assess the best atmospheric correction method for the estimation of depth in shallow waters, considering that reflectance values cannot be greater than 1.5 % because otherwise the background would not be seen. This paper addresses the use of hyperspectral imagery to quantitative bathymetric mapping and explores one of the most common problems when attempting to extract depth information in conditions of variable water types and bottom reflectances. The current work assesses the accuracy of some classical bathymetric algorithms (Polcyn–Lyzenga, Philpot, Benny–Dawson, Hamilton, principal component analysis) when four different atmospheric correction methods are applied and water depth is derived. No atmospheric correction is valid for all type of coastal waters, but in heterogeneous shallow water the model of atmospheric correction 6S offers good results.https://www.atmos-meas-tech.net/10/3919/2017/amt-10-3919-2017.pdf
spellingShingle E. Castillo-López
J. A. Dominguez
R. Pereda
J. M. de Luis
R. Pérez
F. Piña
The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
Atmospheric Measurement Techniques
title The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
title_full The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
title_fullStr The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
title_full_unstemmed The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
title_short The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
title_sort importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters application to depth estimation
url https://www.atmos-meas-tech.net/10/3919/2017/amt-10-3919-2017.pdf
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