{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:13:26Z","timestamp":1775913206022,"version":"3.50.1"},"reference-count":52,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000},"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>Despite the high accuracy of conventional acoustic hydrographic systems, measurement of the seabed along coastal belts is still a complex problem due to the limitations arising from shallow water. In addition to traditional echo sounders, airborne LiDAR also suffers from high application costs, low efficiency, and limited coverage. On the other hand, remote sensing offers a practical alternative for the extraction of depth information, providing fast, reproducible, low-cost mapping over large areas to optimize and minimize fieldwork. Satellite-derived bathymetry (SDB) techniques have proven to be a promising alternative to supply shallow-water bathymetry data. However, this methodology is still limited since it usually requires in situ observations as control points for multispectral imagery calibration and bathymetric validation. In this context, this paper illustrates the potential for bathymetric derivation conducted entirely from open satellite data, without relying on in situ data collected using traditional methods. The SDB was performed using multispectral images from Sentinel-2 and bathymetric data collected by NASA\u2019s ICESat-2 on two areas of relevant interest. To assess outcomes\u2019 reliability, bathymetries extracted from ICESat-2 and derived from Sentinel-2 were compared with the updated and reliable data from the BathyDataBase of the Italian Hydrographic Institute.<\/jats:p>","DOI":"10.3390\/rs15112944","type":"journal-article","created":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T01:38:26Z","timestamp":1686015506000},"page":"2944","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Use of ICEsat-2 and Sentinel-2 Open Data for the Derivation of Bathymetry in Shallow Waters: Case Studies in Sardinia and in the Venice Lagoon"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2730-6321","authenticated-orcid":false,"given":"Massimo","family":"Bernardis","sequence":"first","affiliation":[{"name":"Italian Hydrographic Institute, 16134 Genoa, Italy"}]},{"given":"Roberto","family":"Nardini","sequence":"additional","affiliation":[{"name":"Italian Hydrographic Institute, 16134 Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1890-6671","authenticated-orcid":false,"given":"Lorenza","family":"Apicella","sequence":"additional","affiliation":[{"name":"Institute for Applied Mathematics and Information Technologies-National Research Council, 16149 Genoa, Italy"},{"name":"Geomatics Laboratory, Department of Civil, Chemical and Environmental Engineering (DICCA), University of Genoa, 16145 Genoa, Italy"}]},{"given":"Maurizio","family":"Demarte","sequence":"additional","affiliation":[{"name":"Italian Hydrographic Institute, 16134 Genoa, Italy"}]},{"given":"Matteo","family":"Guideri","sequence":"additional","affiliation":[{"name":"Italian Hydrographic Institute, 16134 Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4598-4758","authenticated-orcid":false,"given":"Bianca","family":"Federici","sequence":"additional","affiliation":[{"name":"Geomatics Laboratory, Department of Civil, Chemical and Environmental Engineering (DICCA), University of Genoa, 16145 Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1801-3403","authenticated-orcid":false,"given":"Alfonso","family":"Quarati","sequence":"additional","affiliation":[{"name":"Institute for Applied Mathematics and Information Technologies-National Research Council, 16149 Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1963-3321","authenticated-orcid":false,"given":"Monica","family":"De Martino","sequence":"additional","affiliation":[{"name":"Institute for Applied Mathematics and Information Technologies-National Research Council, 16149 Genoa, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"ref_1","unstructured":"OECD (2023, March 01). 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