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Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2Accurate and reliable bathymetric data are needed for a wide diversity of marine research and management applications. Satellite-derived bathymetry represents a time saving method to map large shallow waters of remote regions compared to the current costly in situ measurement techniques. This study aims to create very high-resolution (VHR) bathymetry and habitat mapping in Mayotte island waters (Indian Ocean) by fusing 0.5 m Pleiades-1 passive multispectral imagery and active ICESat-2 LiDAR bathymetry. ICESat-2 georeferenced photons were filtered to remove noise and corrected for water column refraction. The bathymetric point clouds were validated using the French naval hydrographic and oceanographic service Litto3D® dataset and then used to calibrate the multispectral image to produce a digital depth model (DDM). The latter enabled the creation of a digital albedo model used to classify benthic habitats. ICESat-2 provided bathymetry down to 15 m depth with a vertical accuracy of bathymetry estimates reaching 0.89 m. The benthic habitats map produced using the maximum likelihood supervised classification provided an overall accuracy of 96.62%. This study successfully produced a VHR DDM solely from satellite data. Digital models of higher accuracy were further discussed in the light of the recent and near-future launch of higher spectral and spatial resolution satellites.
Document ID
20220006867
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Alyson Le Quilleuc
(National Institute of Advanced Technologies of Brittany Brest, France)
Antoine Collin ORCID
(École Pratique des Hautes Études Paris, France)
Michael F Jasinski ORCID
(Goddard Space Flight Center Greenbelt, United States)
Rodolphe Devillers ORCID
(UMR Espace-Dev Montpellier, France)
Date Acquired
May 3, 2022
Publication Date
December 29, 2021
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 14
Issue: 1
Issue Publication Date: January 1, 2022
e-ISSN: 2072-4292
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 883151.04.01.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Bathymetry
Mayotte
Marine habitat
Coral reefs
ICESat-2
Pleiades-1
LiDAR
VHR multispectral imagery
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