{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T10:39:30Z","timestamp":1772361570782,"version":"3.50.1"},"reference-count":111,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,3,5]],"date-time":"2022-03-05T00:00:00Z","timestamp":1646438400000},"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>Seafloor topography and grain size distribution are pivotal features in marine and coastal environments, able to influence benthic community structure and ecological processes at many spatial scales. Accordingly, there is a strong interest in multiple research disciplines to obtain seafloor geological and\/or habitat maps. The aim of this study was to provide a novel, automatic and simple model to obtain high-resolution seafloor maps, using backscatter and bathymetric multibeam system data. For this purpose, we calibrated a linear regression model relating grain size distribution values, extracted from samples collected in a 16 km2 area near Bagnoli\u2013Coroglio (southern Italy), against backscatter and depth-derived covariates. The linear model achieved excellent goodness-of-fit and predictive accuracy, yielding detailed, spatially explicit predictions of grain size. We also showed that a ground-truth sample size as large as 40% of that considered in this study was sufficient to calibrate analogous regression models in different areas. Regardless of some limitations (i.e., inability to predict rocky outcrops and\/or seagrass meadows), our modeling approach proved to be a flexible tool whose main advantage is the rendering of a continuous map for sediment size, in lieu of categorical mapping approaches which usually report sharp boundaries or rely on a few sediment classes.<\/jats:p>","DOI":"10.3390\/rs14051268","type":"journal-article","created":{"date-parts":[[2022,3,6]],"date-time":"2022-03-06T20:40:02Z","timestamp":1646599202000},"page":"1268","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Continuous, High-Resolution Mapping of Coastal Seafloor Sediment Distribution"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7692-9356","authenticated-orcid":false,"given":"Sara","family":"Innangi","sequence":"first","affiliation":[{"name":"Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, CNR\u2013ISMAR, 80133 Naples, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2362-6025","authenticated-orcid":false,"given":"Michele","family":"Innangi","sequence":"additional","affiliation":[{"name":"Dipartimento di Bioscienze e Territorio, Universit\u00e0 degli Studi del Molise, 86090 Pesche, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8898-7046","authenticated-orcid":false,"given":"Mirko","family":"Di Febbraro","sequence":"additional","affiliation":[{"name":"Dipartimento di Bioscienze e Territorio, Universit\u00e0 degli Studi del Molise, 86090 Pesche, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6630-3432","authenticated-orcid":false,"given":"Gabriella","family":"Di Martino","sequence":"additional","affiliation":[{"name":"Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, CNR\u2013ISMAR, 80133 Naples, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2386-1156","authenticated-orcid":false,"given":"Marco","family":"Sacchi","sequence":"additional","affiliation":[{"name":"Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, CNR\u2013ISMAR, 80133 Naples, Italy"}]},{"given":"Renato","family":"Tonielli","sequence":"additional","affiliation":[{"name":"Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, CNR\u2013ISMAR, 80133 Naples, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"181","DOI":"10.3354\/meps150181","article-title":"Influence of topographic heterogeneity and spatial scales on the structure of the neighbouring intertidal endobenthic macrofaunal community","volume":"150","author":"Cusson","year":"1997","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1941","DOI":"10.1016\/j.csr.2010.09.006","article-title":"Relationships between multibeam backscatter, sediment grain size and Posidonia oceanica seagrass distribution","volume":"30","author":"Tonielli","year":"2010","journal-title":"Cont. Shelf Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4649","DOI":"10.1029\/2017JC013638","article-title":"Using Multibeam Backscatter Data to Investigate Sediment-Acoustic Relationships","volume":"123","author":"Huang","year":"2018","journal-title":"J. Geophys. Res. Ocean"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"121","DOI":"10.3354\/meps219121","article-title":"Benthic habitat mapping on the Scotian Shelf based on multibeam bathymetry, surficial geology and sea floor photographs","volume":"219","author":"Kostylev","year":"2001","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.csr.2012.03.008","article-title":"A multi-method approach for benthic habitat mapping of shallow coastal areas with high-resolution multibeam data","volume":"39\u201340","author":"Micallef","year":"2012","journal-title":"Cont. Shelf Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.margeo.2005.09.002","article-title":"Towards a statistically valid method of textural sea floor characterization of benthic habitats","volume":"225","author":"Orpin","year":"2006","journal-title":"Mar. Geol."},{"key":"ref_7","first-page":"668","article-title":"Animal Sediment Relationships Revisited\u2014Cause versus Effect","volume":"8","author":"Snelgrove","year":"1995","journal-title":"Oceanogr. Lit. Rev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s11001-021-09434-0","article-title":"Seafloor morphology changes in the inner-shelf area of the Pozzuoli Bay, Eastern Tyrrhenian Sea","volume":"42","author":"Innangi","year":"2021","journal-title":"Mar. Geophys. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s11001-017-9314-7","article-title":"Modelling the distribution of hard seabed using calibrated multibeam acoustic backscatter data in a tropical, macrotidal embayment: Darwin Harbour, Australia","volume":"39","author":"Siwabessy","year":"2018","journal-title":"Mar. Geophys. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.ecss.2006.01.019","article-title":"Seafloor habitat mapping of the New York Bight incorporating sidescan sonar data","volume":"68","author":"Lathrop","year":"2006","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.gexplo.2010.01.007","article-title":"Geochemical baselines and risk assessment of the Bagnoli brownfield site coastal sea sediments (Naples, Italy)","volume":"105","author":"Albanese","year":"2010","journal-title":"J. Geochem. Explor."},{"key":"ref_12","unstructured":"Hughes, T.B. (2013). Marine Pollution from Shipwrecks at the Sea Bottom: A Case Study from the Mediterranean Basin. Mediterranean Sea, Ecosystems, Economic Importance and Environmental Threats, NOVA Science Publisher, Inc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0048-9697(02)00020-7","article-title":"Heavy metal contamination of the soils used for stocking raw materials in the former ILVA iron-steel industrial plant of Bagnoli (southern Italy)","volume":"295","author":"Adamo","year":"2002","journal-title":"Sci. Total Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.marpolbul.2017.07.033","article-title":"Distribution and enrichment of trace metals in surface marine sediments in the Gulf of Pozzuoli and off the coast of the brownfield metallurgical site of Ilva of Bagnoli (Campania, Italy)","volume":"124","author":"Trifuoggi","year":"2017","journal-title":"Mar. Pollut. Bull."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1109\/JOE.2018.2791878","article-title":"Performance of Multibeam Echosounder Backscatter-Based Classification for Monitoring Sediment Distributions Using Multitemporal Large-Scale Ocean Data Sets","volume":"44","author":"Snellen","year":"2019","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Misiuk, B., Lecours, V., and Bell, T. (2018). A multiscale approach to mapping seabed sediments. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0193647"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1002\/arp.1823","article-title":"Exploration and reconstruction of a medieval harbour using hydroacoustics, 3-D shallow seismic and underwater photogrammetry: A case study from Puck, southern Baltic Sea","volume":"28","author":"Pydyn","year":"2021","journal-title":"Archaeol. Prospect."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Montereale Gavazzi, G., Kapasakali, D.A., Kerchof, F., Deleu, S., Degraer, S., and Van Lancker, V. (2021). Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with Machine Learning. Remote Sens., 13.","DOI":"10.3390\/rs13224608"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/S0025-3227(99)00092-4","article-title":"Quaternary geology and surficial sediment processes, Browns Bank, Scotian Shelf, based on multibeam bathymetry","volume":"162","author":"Todd","year":"1999","journal-title":"Mar. Geol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1080\/17445647.2015.1071719","article-title":"Seafloor mapping using high-resolution multibeam backscatter: The Palinuro Seamount (Eastern Tyrrhenian Sea)","volume":"12","author":"Innangi","year":"2016","journal-title":"J. Maps"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Stephens, D., and Diesing, M. (2014). A comparison of supervised classification methods for the prediction of substrate type using multibeam acoustic and legacy grain-size data. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0093950"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3427","DOI":"10.3390\/rs4113427","article-title":"Evaluation of Four Supervised Learning Methods for Benthic Habitat Mapping Using Backscatter from Multi-Beam Sonar","volume":"4","author":"Hasan","year":"2012","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1016\/j.csr.2011.04.016","article-title":"Unsupervised fuzzy classification and object-based image analysis of multibeam data to map deep water substrates, Cook Strait, New Zealand","volume":"31","author":"Lucieer","year":"2011","journal-title":"Cont. Shelf Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1288","DOI":"10.1016\/j.apacoust.2008.07.015","article-title":"Textural analyses of multibeam sonar imagery from Stanton Banks, Northern Ireland continental shelf","volume":"70","author":"Blondel","year":"2009","journal-title":"Appl. Acoust."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.csr.2016.12.011","article-title":"A multivariate analytical method to characterize sediment attributes from high-frequency acoustic backscatter and ground-truthing data (Jade Bay, German North Sea coast)","volume":"138","author":"Biondo","year":"2017","journal-title":"Cont. Shelf Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.14358\/PERS.70.9.1081","article-title":"Predicting seafloor facies from multibeam bathymetry and backscatter data","volume":"70","author":"Dartnell","year":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.csr.2014.05.004","article-title":"Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches","volume":"84","author":"Diesing","year":"2014","journal-title":"Cont. Shelf Res."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Janowski, L., Madricardo, F., Fogarin, S., Kruss, A., Molinaroli, E., Kubowicz-Grajewska, A., and Tegowski, J. (2020). Spatial and temporal changes of tidal inlet using object-based image analysis of multibeam echosounder measurements: A case from the Lagoon of Venice, Italy. Remote Sens., 12.","DOI":"10.3390\/rs12132117"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"106332","DOI":"10.1016\/j.margeo.2020.106332","article-title":"Characterisation of seafloor substrate using advanced processing of multibeam bathymetry, backscatter, and sidescan sonar in Table Bay, South Africa","volume":"429","author":"Pillay","year":"2020","journal-title":"Mar. Geol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Diesing, M., Mitchell, P.J., O\u2019Keeffe, E., Montereale Gavazzi, G., and Le Bas, T. (2020). Limitations of Predicting Substrate Classes on a Sedimentary Complex but Morphologically Simple Seabed. Remote Sens., 12.","DOI":"10.3390\/rs12203398"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.apacoust.2014.06.014","article-title":"Reson SeaBat 8125 backscatter data as a tool for seabed characterization (Central Mediterranean, Southern Italy): Results from different processing approaches","volume":"87","author":"Innangi","year":"2015","journal-title":"Appl. Acoust."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1080\/01490410802466819","article-title":"An ArcGIS seabed characterization toolbox developed for investigating benthic habitats","volume":"31","year":"2008","journal-title":"Mar. Geod."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.margeo.2014.07.012","article-title":"Predictive mapping of seabed substrata using high-resolution multibeam sonar data: A case study from a shelf with complex geomorphology","volume":"357","author":"Huang","year":"2014","journal-title":"Mar. Geol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s11001-017-9338-z","article-title":"Combining pixel and object based image analysis of ultra-high resolution multibeam bathymetry and backscatter for habitat mapping in shallow marine waters","volume":"39","author":"Ierodiaconou","year":"2018","journal-title":"Mar. Geophys. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s11001-018-9371-6","article-title":"Seabed mapping in the Pelagie Islands marine protected area (Sicily Channel, southern Mediterranean) using Remote Sensing Object Based Image Analysis (RSOBIA)","volume":"40","author":"Innangi","year":"2019","journal-title":"Mar. Geophys. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1080\/17445647.2019.1567401","article-title":"Seabed classification around Lampione islet, Pelagie Islands Marine Protected area, Sicily Channel, Mediterranean Sea","volume":"15","author":"Innangi","year":"2019","journal-title":"J. Maps"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s11001-017-9331-6","article-title":"Multisource multibeam backscatter data: Developing a strategy for the production of benthic habitat maps using semi-automated seafloor classification methods","volume":"39","author":"Brown","year":"2018","journal-title":"Mar. Geophys. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1016\/j.apacoust.2008.07.012","article-title":"Neural network classification of multibeam backscatter and bathymetry data from Stanton Bank (Area IV)","volume":"70","author":"Marsh","year":"2009","journal-title":"Appl. Acoust."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zelada Leon, A., Huvenne, V.A.I., Benoist, N.M.A., Ferguson, M., Bett, B.J., and Wynn, R.B. (2020). Assessing the Repeatability of Automated Seafloor Classification Algorithms, with Application in Marine Protected Area Monitoring. Remote Sens., 12.","DOI":"10.3390\/rs12101572"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1007\/s11001-007-9019-4","article-title":"Remote estimation of surficial seafloor properties through the application Angular Range Analysis to multibeam sonar data","volume":"28","author":"Fonseca","year":"2007","journal-title":"Mar. Geophys. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/s11001-017-9316-5","article-title":"User expectations for multibeam echo sounders backscatter strength data-looking back into the future","volume":"39","author":"Lucieer","year":"2018","journal-title":"Mar. Geophys. Res."},{"key":"ref_42","first-page":"476","article-title":"Construction of the thematic maps of the seabed along the Lucanian Tyrrhenian Coast of Maratea (PZ)","volume":"3","author":"Innangi","year":"2008","journal-title":"Rend. Online Soc. Geol. Ital."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1016\/j.csr.2010.08.004","article-title":"Multi-beam backscatter measurements used to infer seabed habitats","volume":"30","author":"Kloser","year":"2010","journal-title":"Cont. Shelf Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1109\/JOE.2002.1040934","article-title":"Characterization of interface roughness of rippled sand off fort Walton Beach, Florida","volume":"27","author":"Briggs","year":"2002","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.1016\/j.apacoust.2008.09.008","article-title":"Angular range analysis of acoustic themes from Stanton Banks Ireland: A link between visual interpretation and multibeam echosounder angular signatures","volume":"70","author":"Fonseca","year":"2009","journal-title":"Appl. Acoust."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3532","DOI":"10.1121\/1.4987460","article-title":"Roughness parameters imaging with a multibeam echosounder","volume":"141","author":"Pinson","year":"2017","journal-title":"J. Acoust. Soc. Am."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.margeo.2005.11.010","article-title":"The effects of fine-scale surface roughness and grain size on 300 kHz multibeam backscatter intensity in sandy marine sedimentary environments","volume":"228","author":"Ferrini","year":"2006","journal-title":"Mar. Geol."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Harris, P.T., and Baker, E. (2020). Chapter 55\u2014Near-pristine benthic habitats on the Francesc Pag\u00e8s Bank, Alboran Sea, western Mediterranean. Seafloor Geomorphology as Benthic Habitat, Elsevier. [2nd ed.].","DOI":"10.1016\/B978-0-12-814960-7.00001-4"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.margeo.2007.11.004","article-title":"Seafloor characterization and backscatter variability of the Almer\u00eda Margin (Alboran Sea, SW Mediterranean) based on high-resolution acoustic data","volume":"250","author":"Diez","year":"2008","journal-title":"Mar. Geol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1258","DOI":"10.1016\/j.apacoust.2008.07.013","article-title":"A Bayesian approach to seafloor classification using multi-beam echo-sounder backscatter data","volume":"70","author":"Simons","year":"2009","journal-title":"Appl. Acoust."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"De Falco, G., Conforti, A., Brambilla, W., Budillon, F., Ceccherelli, G., De Luca, M., Di Martino, G., Guala, I., Innangi, S., and Pascucci, V. (2022). Coralligenous banks along the western and northern continental shelf of Sardinia Island (Mediterranean Sea). J. Maps, 1\u201310.","DOI":"10.1080\/17445647.2021.2020179"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Rende, S.F., Bosman, A., Di Mento, R., Bruno, F., Lagudi, A., Irving, A.D., Dattola, L., Di Giambattista, L., Lanera, P., and Proietti, R. (2020). Ultra-High-Resolution Mapping of Posidonia oceanica (L.) Delile Meadows through Acoustic, Optical Data and Object-based Image Classification. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8090647"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.margeo.2004.05.030","article-title":"Seabed characterization on the New Jersey middle and outer shelf: Correlatability and spatial variability of seafloor sediment properties","volume":"209","author":"Goff","year":"2004","journal-title":"Mar. Geol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.ecss.2007.05.045","article-title":"Calibration techniques and sampling resolution requirements for groundtruthing multibeam acoustic backscatter (EM3000) and QTC VIEWTM classification technology","volume":"75","author":"Sutherland","year":"2007","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_55","unstructured":"Briggs, K. (1994). High-Frequency Acoustic Scattering from Sediment Interface Roughness and Volume Inhomogeneities, Naval Research Lab Stennis Space Center."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1121\/1.399954","article-title":"Theoretical model of acoustic backscatter from a smooth seabed","volume":"88","author":"Hines","year":"1990","journal-title":"J. Acoust. Soc. Am."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1109\/48.338396","article-title":"Quantitative seafloor characterization using a bathymetric sidescan sonar","volume":"19","author":"Stewart","year":"1994","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.ecss.2014.05.025","article-title":"Interlinking backscatter, grain size and benthic community structure","volume":"147","author":"McGonigle","year":"2014","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Brown, C.J., Beaudoin, J., Brissette, M., and Gazzola, V. (2019). Multispectral multibeam echo sounder backscatter as a tool for improved seafloor characterization. Geosciences, 9.","DOI":"10.3390\/geosciences9030126"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.csr.2018.09.005","article-title":"Improving marine habitat mapping using high-resolution acoustic data; a predictive habitat map for the Firth of Lorn, Scotland","volume":"168","author":"Boswarva","year":"2018","journal-title":"Cont. Shelf Res."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1093\/icesjms\/fsy161","article-title":"A review of the influence of marine habitat classification schemes on mapping studies: Inherent assumptions, influence on end products, and suggestions for future developments","volume":"76","author":"Strong","year":"2019","journal-title":"ICES J. Mar. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Misiuk, B., Brown, C.J., Robert, K., and Lacharit\u00e9, M. (2020). Harmonizing Multi-Source Sonar Backscatter Datasets for Seabed Mapping Using Bulk Shift Approaches. Remote Sens., 12.","DOI":"10.3390\/rs12040601"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Misiuk, B., Diesing, M., Aitken, A., Brown, C.J., Edinger, E.N., and Bell, T. (2019). A Spatially Explicit Comparison of Quantitative and Categorical Modelling Approaches for Mapping Seabed Sediments Using Random Forest. Geosciences, 9.","DOI":"10.3390\/geosciences9060254"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1126\/science.1149345","article-title":"A Global Map of Human Impact on Marine Ecosystems","volume":"319","author":"Halpern","year":"2008","journal-title":"Science"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1080\/02757540.2020.1732942","article-title":"High-resolution seafloor sedimentological mapping: The case study of Bagnoli\u2013Coroglio site, Gulf of Pozzuoli (Napoli), Italy","volume":"36","author":"Innangi","year":"2020","journal-title":"Chem. Ecol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1080\/02757540.2020.1735373","article-title":"Mapping of seabed morphology of the Bagnoli brownfield site, Pozzuoli (Napoli) Bay, Italy","volume":"36","author":"Innangi","year":"2020","journal-title":"Chem. Ecol."},{"key":"ref_67","unstructured":"(2016). Fledermaus v7.6 Manual, QPS Maritime Software Solutions."},{"key":"ref_68","unstructured":"Mallace, D. (2012). QPS-Fledermaus Workshop-FMGeocoder Webinar, QPS Maritime Software Solutions."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1080\/17445647.2014.1001800","article-title":"High-resolution morpho-bathymetry of Pozzuoli Bay, southern Italy","volume":"12","author":"Somma","year":"2016","journal-title":"J. Maps"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.apgeochem.2017.05.012","article-title":"Temporal changes of metal and trace element contamination in marine sediments due to a steel plant: The case study of Bagnoli (Naples, Italy)","volume":"88","author":"Romano","year":"2018","journal-title":"Appl. Geochem."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.jhazmat.2005.02.014","article-title":"Asbestos reclamation at a disused industrial plant, Bagnoli (Naples, Italy)","volume":"122","author":"Cecchetti","year":"2005","journal-title":"J. Hazard. Mater."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s12210-015-0467-5","article-title":"Macrobenthic community status in highly polluted area: A case study from Bagnoli, Naples Bay, Italy","volume":"27","author":"Fasciglione","year":"2016","journal-title":"Rend. Lincei"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1080\/02757540.2020.1735374","article-title":"Geological framework of the Bagnoli\u2013Coroglio coastal zone and continental shelf, Pozzuoli (Napoli) Bay","volume":"36","author":"Sacchi","year":"2020","journal-title":"Chem. Ecol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1080\/02757540.2020.1747447","article-title":"Sedimentological analysis of marine deposits off the Bagnoli\u2013Coroglio Site of National Interest (SIN), Pozzuoli (Napoli) Bay","volume":"36","author":"Molisso","year":"2020","journal-title":"Chem. Ecol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1080\/02757540.2020.1747448","article-title":"Current status of coastal sediments contamination in the former industrial area of Bagnoli\u2013Coroglio (Naples, Italy)","volume":"36","author":"Armiento","year":"2020","journal-title":"Chem. Ecol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1080\/02757540.2020.1772244","article-title":"Hydrographic and dynamical characterisation of the Bagnoli\u2013Coroglio Bay (Gulf of Naples, Tyrrhenian Sea)","volume":"36","author":"Castagno","year":"2020","journal-title":"Chem. Ecol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.margeo.2014.04.012","article-title":"The Neapolitan Yellow Tuff caldera offshore the Campi Flegrei: Stratal architecture and kinematic reconstruction during the last 15ky","volume":"354","author":"Sacchi","year":"2014","journal-title":"Mar. Geol."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/j.ympev.2007.04.013","article-title":"Phylogenetic relationships of coexisting Heterocypris (Crustacea, Ostracoda) lineages with different reproductive modes from Lampedusa Island (Italy)","volume":"44","author":"Rossi","year":"2007","journal-title":"Mol. Phylogenet. Evol."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/17445647.2016.1195298","article-title":"Distribution of Posidonia oceanica (L.) Delile meadows around Lampedusa Island (Strait of Sicily, Italy)","volume":"12","author":"Tonielli","year":"2016","journal-title":"J. Maps"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1002\/jqs.853","article-title":"The Upper Pleistocene to Holocene sediments on the Mediterranean island of Lampedusa (Italy)","volume":"19","author":"Giraudi","year":"2004","journal-title":"J. Quat. Sci."},{"key":"ref_81","unstructured":"Francour, P., Magr\u00e9au, J.F., Mannoni, A.P., Cottalorda, M.J., and Gratiot, J. (2006). Management guide for Marine Protected Areas of the Mediterranean sea. Permanent Ecological Moorings, Universit\u00e9 de Nice Sophia Antipolis & Parc National de Port-Cros."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"371","DOI":"10.25249\/0375-7536.2006362371378","article-title":"De Sysgran: Um Sistema De C\u00f3digo Aberto Para An\u00e1llses Granulom\u00e9tricas Do Sedimento","volume":"36","author":"Camargo","year":"2006","journal-title":"Rev. Bras. Geoci\u00eancias"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1130\/GSAB-25-655","article-title":"Mechanical composition of clastic sediments","volume":"25","author":"Udden","year":"1914","journal-title":"Bull. Geol. Soc. Am."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1086\/622910","article-title":"A Scale of Grade and Class Terms for Clastic Sediments","volume":"30","author":"Wentworth","year":"1922","journal-title":"J. Geol."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1306\/D4268EB9-2B26-11D7-8648000102C1865D","article-title":"Size frequency distributions of sediments","volume":"4","author":"Krumbein","year":"1934","journal-title":"J. Sediment. Res."},{"key":"ref_86","unstructured":"Hijmans, R.J. (2022, March 01). Raster: Geographic Data Analysis and Modeling. R Package Version 3.4-5. Available online: https:\/\/cran.r-project.org\/web\/packages\/raster\/raster.pdf."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1111\/j.1600-0587.2013.00205.x","article-title":"Where is positional uncertainty a problem for species distribution modelling?","volume":"37","author":"Naimi","year":"2014","journal-title":"Ecography"},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013). An Introduction to Statistical Learning with Applications in R, Springer. [1st ed.].","DOI":"10.1007\/978-1-4614-7138-7"},{"key":"ref_89","unstructured":"R Core Team (2021). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing. Available online: https:\/\/www.r-project.org\/."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Venables, W.N., and Ripley, B.D. (2002). Modern Applied Statistics with S, Spinger. [4th ed.].","DOI":"10.1007\/978-0-387-21706-2"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"e1460","DOI":"10.1002\/wics.1460","article-title":"The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements","volume":"11","author":"Cavanaugh","year":"2019","journal-title":"WIREs Comput. Stat."},{"key":"ref_92","unstructured":"Kuhn, M. (2022, March 01). Caret: Classification and Regression Training. R Package Version 6.0-86. Available online: https:\/\/cran.r-project.org\/web\/packages\/caret\/caret.pdf."},{"key":"ref_93","unstructured":"Bjornstad, O.N. (2022, March 01). Ncf: Spatial Covariance Functions. R Package Version 1.2-9. Available online: https:\/\/rdrr.io\/cran\/ncf\/."},{"key":"ref_94","unstructured":"Hijmans, R.J., Phillips, S., Leathwick, J., and Elith, J. (2022, March 01). Dismo: Species Distribution Modeling. R Package Version 1.3-3. Available online: https:\/\/cran.r-project.org\/web\/packages\/dismo\/dismo.pdf."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"2185","DOI":"10.1111\/jbi.12371","article-title":"Phylogeographical analysis of two cold-tolerant plants with disjunct Lusitanian distributions does not support in situ survival during the last glaciation","volume":"41","author":"Beatty","year":"2014","journal-title":"J. Biogeogr."},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Le Bas, T.P. (2016, January 14\u201316). RSOBIA\u2014A new OBIA Toolbar and Toolbox in ArcMap 10.x for Segmentation and Classification. Proceedings of the GEOBIA 2016: Solutions and Synergies, Enschede, The Netherlands.","DOI":"10.3990\/2.448"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/0025-3227(77)90022-6","article-title":"Marine erosive processes at the cliff foot","volume":"23","author":"Robinson","year":"1977","journal-title":"Mar. Geol."},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Janowski, L., Trzcinska, K., Tegowski, J., Kruss, A., Rucinska-Zjadacz, M., and Pocwiardowski, P. (2018). Nearshore benthic habitat mapping based on multi-frequency, multibeam echosounder data using a combined object-based approach: A case study from the Rowy Site in the Southern Baltic Sea. Remote Sens., 10.","DOI":"10.3390\/rs10121983"},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"103717","DOI":"10.1016\/j.marpol.2019.103717","article-title":"Challenges of habitat mapping to inform marine protected area (MPA) designation and monitoring: An operational perspective","volume":"111","author":"Ware","year":"2020","journal-title":"Mar. Policy"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"3137","DOI":"10.1080\/01431160701442120","article-title":"Harshness in image classification accuracy assessment","volume":"29","author":"Foody","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Buscombe, D., and Grams, P. (2018). Probabilistic Substrate Classification with Multispectral Acoustic Backscatter: A Comparison of Discriminative and Generative Models. Geosciences, 8.","DOI":"10.20944\/preprints201810.0107.v1"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s11001-017-9323-6","article-title":"Seafloor change detection using multibeam echosounder backscatter: Case study on the Belgian part of the North Sea","volume":"39","author":"Roche","year":"2018","journal-title":"Mar. Geophys. Res."},{"key":"ref_103","doi-asserted-by":"crossref","unstructured":"Stephens, D., and Diesing, M. (2015). Towards Quantitative Spatial Models of Seabed Sediment Composition. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0142502"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s10021-005-0054-1","article-title":"Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction","volume":"9","author":"Prasad","year":"2006","journal-title":"Ecosystems"},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Marzialetti, F., Di Febbraro, M., Malavasi, M., Giulio, S., Rosario Acosta, A.T., and Carranza, M.L. (2020). Mapping coastal dune landscape through spectral Rao\u2019s Q temporal diversity. Remote Sens., 12.","DOI":"10.3390\/rs12142315"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Prampolini, M., Angeletti, L., Castellan, G., Grande, V., Le Bas, T., Taviani, M., and Foglini, F. (2021). Benthic habitat map of the southern adriatic sea (Mediterranean sea) from object-based image analysis of multi-source acoustic backscatter data. Remote Sens., 13.","DOI":"10.3390\/rs13152913"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.envsoft.2016.11.027","article-title":"Towards a framework for terrain attribute selection in environmental studies","volume":"89","author":"Lecours","year":"2017","journal-title":"Environ. Model. Softw."},{"key":"ref_109","unstructured":"Todorova, V., Dimitrov, L., Doncheva, V., Trifonova, E., and Prodanov, B. (2015, January 6\u201310). Benthic habitat mapping in the Bulgarian Black Sea. Proceedings of the Twelfth International Conference on the Mediterranean Coastal Environment MEDCOAST, Varna, Bulgaria."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ecss.2011.10.004","article-title":"Combining angular response classification and backscatter imagery segmentation for benthic biological habitat mapping","volume":"97","author":"Ierodiaconou","year":"2012","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Galvez, D., Papenmeier, S., Sander, L., Hass, H., Fofonova, V., Bartholom\u00e4, A., and Wiltshire, K. (2021). Ensemble Mapping and Change Analysis of the Seafloor Sediment Distribution in the Sylt Outer Reef, German North Sea from 2016 to 2018. Water, 13.","DOI":"10.20944\/preprints202105.0396.v1"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1268\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:32:31Z","timestamp":1760135551000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1268"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,5]]},"references-count":111,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["rs14051268"],"URL":"https:\/\/doi.org\/10.3390\/rs14051268","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,5]]}}}