{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T20:14:52Z","timestamp":1785356092149,"version":"3.55.0"},"reference-count":60,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T00:00:00Z","timestamp":1640736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurate 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\u00ae 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.<\/jats:p>","DOI":"10.3390\/rs14010133","type":"journal-article","created":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T08:12:15Z","timestamp":1640765535000},"page":"133","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":63,"title":["Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2"],"prefix":"10.3390","volume":"14","author":[{"given":"Alyson","family":"Le Quilleuc","sequence":"first","affiliation":[{"name":"ENSTA Bretagne Engineering School, 29200 Brest, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9559-7572","authenticated-orcid":false,"given":"Antoine","family":"Collin","sequence":"additional","affiliation":[{"name":"Section des Sciences de la Vie et de la Terre, EPHE-PSL University, CNRS LETG, 35800 Dinard, France"},{"name":"LabEx CORAIL, BP 1013, 98729 Papetoai, French Polynesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael F.","family":"Jasinski","sequence":"additional","affiliation":[{"name":"NASA, Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodolphe","family":"Devillers","sequence":"additional","affiliation":[{"name":"Espace-Dev (IRD-UM-UG-UR-UA-UNC), 34934 Montpellier, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,29]]},"reference":[{"key":"ref_1","first-page":"13","article-title":"Coral reefs in French overseas territories: A retrospective study of changes in health conditions of these diversified and vulnerable ecosystems recorded by monitoring networks","volume":"63","author":"Lionel","year":"2008","journal-title":"Rev. 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