UAV-Derived Multispectral Bathymetry

Bathymetry is considered an important component in marine applications as several coastal erosion monitoring and engineering projects are carried out in this field. It is traditionally acquired via shipboard echo sounding, but nowadays, multispectral satellite imagery is also commonly applied using...

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Main Authors: Lorenzo Rossi, Irene Mammi, Filippo Pelliccia
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
UAV
Online Access:https://www.mdpi.com/2072-4292/12/23/3897
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spelling doaj-aac64559e41140ed8f2d1ca45af007312020-11-28T00:06:09ZengMDPI AGRemote Sensing2072-42922020-11-01123897389710.3390/rs12233897UAV-Derived Multispectral BathymetryLorenzo Rossi0Irene Mammi1Filippo Pelliccia2GEOCOSTE, Via Corsi, 19-50141 Firenze, ItalyINGV, Via Cesare Battisti, 53-56125 Pisa, ItalyGEOCOSTE, Via Corsi, 19-50141 Firenze, ItalyBathymetry is considered an important component in marine applications as several coastal erosion monitoring and engineering projects are carried out in this field. It is traditionally acquired via shipboard echo sounding, but nowadays, multispectral satellite imagery is also commonly applied using different remote sensing-based algorithms. Satellite-Derived Bathymetry (SDB) relates the surface reflectance of shallow coastal waters to the depth of the water column. The present study shows the results of the application of Stumpf and Lyzenga algorithms to derive the bathymetry for a small area using an Unmanned Aerial Vehicle (UAV), also known as a drone, equipped with a multispectral camera acquiring images in the same WorldView-2 satellite sensor spectral bands. A hydrographic Multibeam Echosounder survey was performed in the same period in order to validate the method’s results and accuracy. The study area was approximately 0.5 km<sup>2</sup> and located in Tuscany (Italy). Because of the high percentage of water in the images, a new methodology was also implemented for producing a georeferenced orthophoto mosaic. UAV multispectral images were processed to retrieve bathymetric data for testing different band combinations and evaluating the accuracy as a function of the density and quantity of sea bottom control points. Our results indicate that UAV-Derived Bathymetry (UDB) permits an accuracy of about 20 cm to be obtained in bathymetric mapping in shallow waters, minimizing operative expenses and giving the possibility to program a coastal monitoring surveying activity. The full sea bottom coverage obtained using this methodology permits detailed Digital Elevation Models (DEMs) comparable to a Multibeam Echosounder survey, and can also be applied in very shallow waters, where the traditional hydrographic approach requires hard fieldwork and presents operational limits.https://www.mdpi.com/2072-4292/12/23/3897coastal monitoringbathymetryUAVdronemultispectral camera
collection DOAJ
language English
format Article
sources DOAJ
author Lorenzo Rossi
Irene Mammi
Filippo Pelliccia
spellingShingle Lorenzo Rossi
Irene Mammi
Filippo Pelliccia
UAV-Derived Multispectral Bathymetry
Remote Sensing
coastal monitoring
bathymetry
UAV
drone
multispectral camera
author_facet Lorenzo Rossi
Irene Mammi
Filippo Pelliccia
author_sort Lorenzo Rossi
title UAV-Derived Multispectral Bathymetry
title_short UAV-Derived Multispectral Bathymetry
title_full UAV-Derived Multispectral Bathymetry
title_fullStr UAV-Derived Multispectral Bathymetry
title_full_unstemmed UAV-Derived Multispectral Bathymetry
title_sort uav-derived multispectral bathymetry
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-11-01
description Bathymetry is considered an important component in marine applications as several coastal erosion monitoring and engineering projects are carried out in this field. It is traditionally acquired via shipboard echo sounding, but nowadays, multispectral satellite imagery is also commonly applied using different remote sensing-based algorithms. Satellite-Derived Bathymetry (SDB) relates the surface reflectance of shallow coastal waters to the depth of the water column. The present study shows the results of the application of Stumpf and Lyzenga algorithms to derive the bathymetry for a small area using an Unmanned Aerial Vehicle (UAV), also known as a drone, equipped with a multispectral camera acquiring images in the same WorldView-2 satellite sensor spectral bands. A hydrographic Multibeam Echosounder survey was performed in the same period in order to validate the method’s results and accuracy. The study area was approximately 0.5 km<sup>2</sup> and located in Tuscany (Italy). Because of the high percentage of water in the images, a new methodology was also implemented for producing a georeferenced orthophoto mosaic. UAV multispectral images were processed to retrieve bathymetric data for testing different band combinations and evaluating the accuracy as a function of the density and quantity of sea bottom control points. Our results indicate that UAV-Derived Bathymetry (UDB) permits an accuracy of about 20 cm to be obtained in bathymetric mapping in shallow waters, minimizing operative expenses and giving the possibility to program a coastal monitoring surveying activity. The full sea bottom coverage obtained using this methodology permits detailed Digital Elevation Models (DEMs) comparable to a Multibeam Echosounder survey, and can also be applied in very shallow waters, where the traditional hydrographic approach requires hard fieldwork and presents operational limits.
topic coastal monitoring
bathymetry
UAV
drone
multispectral camera
url https://www.mdpi.com/2072-4292/12/23/3897
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AT irenemammi uavderivedmultispectralbathymetry
AT filippopelliccia uavderivedmultispectralbathymetry
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