As part of the restoration monitoring component of the Deepwater Horizon early restoration project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted single-beam and multibeam bathymetry surveys around Breton Island, Louisiana (LA), from August 3-5, 2022, for Field Activity Number (FAN) 2022-328-FA. The purpose of data collection was to develop a baseline digital elevation model of the seafloor around Breton Island for comparison with both previous and future elevation assessments, and to evaluate elevation change following island restoration. The survey encompassed approximately 65 square kilometers of nearshore environment including the former Mississippi River to Gulf Outlet and submerged areas of South Breton Island. The single-beam bathymetry was acquired using two 12-foot personal watercrafts (PWCs) and a 20-foot Twin Vee. All vessels were outfitted with high precision Global Navigation Satellite System (GNSS) receivers, motion reference units, and survey grade single-beam echosounders. For further information regarding data collection and/or processing, please see the metadata associated with this data release. For additional information on post-processing steps please refer to DeWitt and others (2016) and Hansen and others (2017).

To determine continued change to the shoreface morphology and evolution at Seven Mile Island, New Jersey, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) in St. Petersburg, Florida, conducted a single-beam bathymetric survey of Seven Mile Island, New Jersey, from April 29 - May 2, 2022. During this study, single-beam bathymetry data were collected using a personal watercraft (PWC) and a floating-towed-seismic sled. Both the PWC and the seismic sled were outfitted with high precision Global Navigation Satellite System (GNSS) receivers, motion reference units, and survey grade single-beam echosounders.

In February 2017, the United States Geological Survey Saint Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted multibeam and single-beam bathymetric surveys of the nearshore waters off Madeira Beach, Florida. These data were collected as part of a regional study designed to better understand coastal processes on barrier islands and sandy beaches. Results from this study will be incorporated with observations from other regional studies in order to validate operational water level and coastal change hazards models being expanded nationwide (National Assessment of Storm-Induced Coastal Change Hazards). The regional study area is Madeira Beach located on one of eleven barrier islands in Pinellas County in west-central Florida along the Gulf of Mexico. These barrier islands support highly developed and densely populated coastal communities, comprised of local residents, year-round tourist population, and undeveloped natural habitats within local and state parks. A measure of the nearshore bathymetry is useful for better understanding the interaction of the hydrodynamics and morphodynamics offshore and in the surf zone that ultimately control the beach response. This USGS data release provides processed multibeam bathymetry (MBES) and processed single-beam bathymetry (SBES) data collected under the USGS field activity number (FAN) 2017-305-FA. This FAN has four subfans each representing one research vessel (R/V): 17TST01 (R/V Sallenger), 17TST02 (R/V Jabba Jaw, a 22-foot shallow draft Twin Vee [TVEE]), 17TST03 (R/V Shark, a 12-foot Yamaha personal watercraft [SHRK]) and 17TST04 (R/V Chum, a 12-foot Yamaha personal watercraft [CHUM]). The point data (x,y,z) are provided in two datums: 1) the International Reference Frame of 2008 (ITRF08) and ellipsoid height; and 2) the North American Datum 1983 in the CORS96 realization (NAD83 (CORS96)) for the horizontal and the North American Vertical Datum 1988 (NAVD88) with respect to GEOID12B for the vertical. Additional files include a single-beam trackline shapefile (.shp) and a 20-meter (m) cell size single-beam digital elevation model (DEM, .tif). For further information regarding data collection and/or processing please see the metadata associated with this data release.