Data (Creazione)

2015

Data (Pubblicazione)

2018

Identificatore

https://doi.org/10.1007/s11001-018-9371-6

Data (Pubblicazione)

2018-10-13

Altri dettagli

How to cite this data: Innangi, S., Tonielli, R., Romagnoli, C. et al. Seabed mapping in the Pelagie Islands marine protected area (Sicily Channel, southern Mediterranean) using Remote Sensing Object Based Image Analysis (RSOBIA). Mar Geophys Res 40, 333–355 (2019). https://doi.org/10.1007/s11001-018-9371-6

Identificatore

http://libeccio.bo.ismar.cnr.it:8080/geonetwork/srv/eng/catalog.search#/metadata/d6fe640d-dfc0-4868-8463-a60a827892d6

Data (Pubblicazione)

2024-11-18

Crediti

© CNR-ISMAR

Status

Completato

Frequenza di aggiornamento

Secondo necessità

GEMET - INSPIRE themes, version 1.0

• Geology

Continents, countries, sea regions of the world.

• Italy
• Mediterranean Sea
• Strait of Sicily

Platform Type

• research vessel

Survey type

• Geophysics
• Cartography

Collection method

• Sonar system

Device

• Multibeam

Swath type

• Seabed reflectivity

Parole chiave

• lampedusa island
• pelagie islands
• nbfc

Limitazione d’uso

Do not use for navigation

Vincoli di fruibilità

Licenza

Altri vincoli

CC BY NC 4.0

Vincoli di accesso

Licenza

Altri vincoli

CC BY NC 4.0

Classificazione

Non riservato

Tipo di rappresentazione spaziale

Dati raster

Lingua dei metadati

English

Set dei caratteri dei metadati

UTF8

Tema

• Quote e prodotti derivati
• Informazioni geoscientifiche

Informazioni supplementari

none

Identificatore del sistema di riferimento

EPSG:32633 - WGS 84 / UTM zone 33N

Livello di topologia

Solo Geometria

Oggetto di tipo geometrico

Superficie

Conteggio oggetto geometrico

1

Formato di distribuzione

• GeoTIFF ( .tif )

Risorsa online

Scientific paper ( DOI )

Innangi et al, 2018

Livello

Modello

Dataset

Seafloor reflectivity

Genealogia del dato – Processo di produzione

Geophysical data were collected by the Institute for Coastal Marine Environment of the National Research Council (IAMC-CNR) of Naples (Italy) around Lampedusa and Linosa islands down to 50 m and to 190 m of depth, respectively (see “MBES lines” in Fig. 2), during two oceanographic surveys, “Lampedusa 2015” and “Linosa 2016”. Both surveys were performed using a pole-mounted Reson SeaBat 7125 400 kHz MBES, providing sub-centimetric resolution. The vessels were equipped with an Omnistar Differential Global Positioning System (DGPS) and an IxSea Octans 3000 gyrocompass and motion sensor that provided positioning data (with sub-meter accuracy) and attitude data (0.01° accuracy). A Valeport miniSVS sound velocity probe and a sound velocity profler were used to provide the real-time surfcial sound speed for the beam steering and the velocity profle required for the depth computation. The Reson PDS2000 4.1.2.9 version was used for logging and processing MBES bathymetric data: tide data, recorded during acquisition, were applied to all dataset to set up the real depth before starting the despiking process to generate a fnal 2.5 × 2.5 m resolution grid model. Backscatter data were also collected by MBES systems as snippet data (De Falco et al. 2010; Innangi et al. 2015). Snippet data processing was carried out using FMGeocoder Toolbox (FMGT) in Fledermaus 7.6 version (QPS 2016). These data were corrected for receiver gain, transmit power, transmit pulse width, spherical spreading, attenuation in the water column, area of ensonifcation, beam pattern, speckle noise and, fnally and most importantly, for angular dependence and local slope (Mallace 2012; Fledermaus 2016). The fnal mosaic was exported as a geo-referenced TIFF image with a 2.5 m pixel size and imaged using a grey scale in which higher backscatter values correspond to darker areas. A range of signal values spanning from − 60 to −25 dB was adopted in the maps. The MBES used for this study was not calibrated to obtain absolute backscatter levels. Consequently, backscatter data presented are in relative (dB) units and cannot be compared with absolute values reported in other studies, as in De Falco et al. (2010). However, the backscatter facies have been locally calibrated with groundtruth information derived from sea-bottom samples and video images, enabling to infer the nature of the different substrata.

Dati di origine

Identificatore del file di metadati

d6fe640d-dfc0-4868-8463-a60a827892d6 XML

Lingua dei metadati

English

Set dei caratteri dei metadati

UTF8

Livello gerarchico

Modello

Nome del livello gerarchico

Seafloor reflectivity

Data dei metadati

2024-11-11T13:46:18

Nome dello Standard dei metadati

ISO 19115:2003/19139

Versione dello Standard dei metadati

1.0