| Abstract | This dataset was collected during a six-months survey divided in 17 weeks (lasting from May to December 2013) in the channel network of the Venice Lagoon by means of the MBES system Kongsberg EM-2040 Compact dual head. The MBES was mounted on a pole at the bow of the CNR research vessel Litus, a 10-m long boat with only 1.5-m draft. The MBES has 800 beams (400 per swath) 1°x1°; the operational frequency for this survey was set at 360 kHz. A Seapath 300 system was used for ship positioning, improving its accuracy by the correction provided by a Fugro HP differential Global Positioning System (DGPS, accurate up to 0.2 m). Tidal correction of bathymetric data was based on a set of virtual tidal stations (93 points) distributed evenly around all the study area. The tidal corrections in each virtual tide gauge station were calculated using the water level simulated by the hydrodynamic model SHYFEM (Umgiesser et al., 2014) applied to the whole Venice Lagoon. Data was processed after collected using CARIS to account for sound velocity profiles, tide corrections, and manual quality control tools. The base surfaces were created with the Swath Angles Weighting option with a Max Footprint size of 9x9 pixels and a resolution of 0.5 m and cleaned using the subset editor to efficiently handle and visualize. The raw data are stored in the CNR-ISMAR Venice server and available under request to data owner. Data collection have been founded thanks to the Italian Italian Flagship Project RITMARE. References Madricardo, F., Foglini, F., & Trincardi, F. Marine Geosciences Data System http://dx.doi.org/10.1594/IEDA/323605 (2016) Madricardo F, Foglini F., Kruss A., Ferrarin C., Pizzeghello N. M., Murri C., Rossi M., Bajo M., Bellafiore D., Campiani E., Fogarin S., Grande V., Janowski L., Keppel E., Leidi E., Lorenzetti G., Maicu F., Maselli V., Mercorella A., Montereale Gavazzi G., Minuzzo T., Pellegrini C., Petrizzo A., Prampolini M., Remia A., Rizzetto F., Rovere M., Sarretta A., Sigovini M., Sinapi L., Umgiesser G., Trincardi F., 2017. Scientific Data 4, Nature Publishing Group. Doi: doi:10.1038/sdata.2017.121 |