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These data have been used for geological, biological and habitat mapping purposes, but a single and consistent interpretation of all the acquired backscatter data has never been carried out. Here, we aimed at coherently interpreting the seafloor reflectivity datasets in order to produce aseabed and benthic habitat maps of the southern Adriatic Sea showing the spatial distribution of substrate and sediment type and grain size within the basin. The methodology here applied consists of a semi-automated classification of backscatter images through object-based image analysis (OBIA) performed through the ArcGIS tool RSOBIA (Remote Sensing OBIA). This unsupervised image segmentation was carried out on each backscatter dataset separately and then validated through comparison with bottom samples and images acquired during the different oceanographic cruises. The substrate was then classified following the a classification scheme proposed within the CoCoNet specifically elaborated in-house project. The results were described and discussed as well as the methodology applied and the significance of the backscatter data in general." } ], "http://schema.org/encodingFormat": [ { "@value": "text/plain" } ], "http://schema.org/license": [ { "@id": "https://choosealicense.com/no-permission/" } ], "http://schema.org/name": [ { "@value": "Abstract of the scientific paper" } ], "http://schema.org/sdDatePublished": [ { "@value": "2021-05-04 13:01:48.522000+00:00" } ], "@type": [ "http://purl.org/wf4ever/roterms#Hypothesis", "http://purl.org/wf4ever/wf4ever#Resource", "http://schema.org/MediaObject" ] }, { "@id": "https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52", "http://schema.org/author": [ { "@id": "https://orcid.org/0000-0002-3489-268X" } ], "http://schema.org/contentSize": [ { "@value": "57493288", "@type": "http://www.w3.org/2001/XMLSchema#integer" } ], "http://schema.org/contentUrl": [ { "@value": "https://api.rohub.org/api/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52/download/" } ], "http://schema.org/creator": [ { "@id": "https://orcid.org/0000-0002-3489-268X" } ], "http://schema.org/dateCreated": [ { "@value": "2021-05-04 12:58:45.722000+00:00" } ], "http://schema.org/dateModified": [ { "@value": "2022-03-24 13:17:01.157003+00:00" } ], "http://schema.org/description": [ { "@value": "http://libeccio.bo.ismar.cnr.it:8080/geonetwork/srv/ita/catalog.search#/metadata/a99af2f9-a4d5-4c57-9477-b01935bed0e8" } ], "http://schema.org/encodingFormat": [ { "@value": "application/pdf" } ], "http://schema.org/license": [ { "@id": "https://choosealicense.com/no-permission/" } ], "http://schema.org/name": [ { "@value": "RSOBIA_map_30.04.2021.pdf" } ], "http://schema.org/sdDatePublished": [ { "@value": "2021-05-04 12:58:45.722000+00:00" } ], "@type": [ "http://purl.org/wf4ever/roterms#Result", "http://purl.org/wf4ever/wf4ever#Resource", "http://schema.org/MediaObject" ] }, { "@id": "https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/d6f030ec-71ee-424e-a7f9-f306b32945d0", "http://schema.org/author": [ { "@id": "https://orcid.org/0000-0002-3489-268X" } ], "http://schema.org/contentSize": [ { "@value": "545334", "@type": "http://www.w3.org/2001/XMLSchema#integer" } ], "http://schema.org/contentUrl": [ { "@value": "https://api.rohub.org/api/resources/d6f030ec-71ee-424e-a7f9-f306b32945d0/download/" } ], "http://schema.org/creator": [ { "@id": "https://orcid.org/0000-0002-3489-268X" } ], "http://schema.org/dateCreated": [ { "@value": "2021-08-27 09:12:01.708000+00:00" } ], "http://schema.org/dateModified": [ { "@value": "2022-03-24 13:17:07.765085+00:00" } ], "http://schema.org/description": [ { "@value": "Workflow applied in the present work visualized in Model Builder (ArcGIS 10.5) and showing the tools of RSOBIA toolset used in the present work (yellow), the input data - rasters to be seg-mented and ground-truthing data – (purple), the segmentation parameters to be chosen by the operator (light blue), the results (green) and the ArcGIS workspace (dark blue)" } ], "http://schema.org/encodingFormat": [ { "@value": "image/jpeg" } ], "http://schema.org/license": [ { "@id": "https://choosealicense.com/no-permission/" } ], "http://schema.org/name": [ { "@value": "Image of the workflow in model builder" } ], "http://schema.org/sdDatePublished": [ { "@value": "2021-08-27 09:12:01.708000+00:00" } ], "@type": [ "http://purl.org/wf4ever/roterms#Sketch", "http://purl.org/wf4ever/wf4ever#Resource", "http://schema.org/MediaObject" ] }, { "@id": "https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/ed3bd8c8-2411-4818-ab51-92c37623f439", "http://schema.org/author": [ { "@id": "https://orcid.org/0000-0002-0408-4411" } ], "http://schema.org/contentUrl": [ { "@value": "https://www.mdpi.com/2072-4292/13/15/2913" } ], "http://schema.org/creator": [ { "@id": "https://orcid.org/0000-0002-0408-4411" } ], "http://schema.org/dateCreated": [ { "@value": "2021-04-29 14:17:24.578000+00:00" } ], "http://schema.org/dateModified": [ { "@value": "2022-03-24 13:17:07.985558+00:00" } ], "http://schema.org/description": [ { "@value": "Prampolini, M.; Angeletti, L.; Castellan, G.; Grande, V.; Le Bas, T.; Taviani, M.; Foglini, F. 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