Data

The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset delineates coastal cliff features (cliff tops, toes, and 3D elevation transects) to assess the hazard posed by eroding coastal cliffs in Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics and to mea

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes in the Upper Florida Keys (UFK) from Triumph Reef to Pickles Reef within a 242.4 square-kilometer area. USGS staff calculated changes in seafloor elevation from 2002 to 2016 using light detection and ranging (lidar)-derived data acquired by the USGS in 2001 and 2002

The USGS Coral Reef Ecosystems Studies project (https://coastal.er.usgs.gov/crest/) provides science that helps resource managers tasked with the stewardship of coral reef resources. This data release contains data on coral-growth rates and time-series photographs taken of colonies of the elkhorn coral, Acropora palmata, grown at five sites on the Florida Keys reef tract from spring 2018 to autumn

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes at Looe Key coral reef near Big Pine Key, Florida, within a 19.7 square-kilometer area following Hurricane Irma in September 2017. USGS staff used light detection and ranging (lidar)-derived data acquired by the National Oceanic and Atmospheric Administration (NOAA)

The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS - SPCSMC), conducted a geophysical survey nearshore the Rockaway Peninsula, New York, during September and October 2019. During this study, multibeam bathymetry and acoustic backscatter data were collected aboard the R/V Sallenger (two separate survey efforts: Leg 1-October

The U.S. Geological Survey (USGS) Coastal and Marine Hazards and Resources Program (CMHRP) has actively collected geophysical and sedimentological data in the northern Gulf of Mexico for several decades, including shallow subsurface data in the form of high-resolution seismic reflection profiles (HRSP). Prior to the mid-1990s most HRSP data were collected in analog format as paper rolls of continu

The U.S. Geological Survey (USGS) National Assessment of Coastal Change Hazards (NACCH) project aims to identify areas of the nation's coastline that are most vulnerable to extreme storms and long-term shoreline change. These assessments require coastal elevation data across diverse geographic regions and covering a time span of many years. The datasets published here, organized by individual fiel

As part of the Coastal Sediment Availability and Flux Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore geophysical survey to map the shoreface of Cedar Island, Virginia (VA) in August of 2019. The objective of the project is to improve the understanding of barrier island geomorphic evolution and the sediment fluxes th

The one-dimensional model inputs of idealized topography and bathymetry values for simulation of synthetic storm evolution with XBeach, as described in Mickey and others (2020) are provided here. The idealized topography and bathymetry were derived from LiDAR data from Dauphin Island, AL, USA over the timespan of 2005 to 2015. For further information regarding model input generation of topography

Aerial imagery acquired with a small unmanned aircraft system (sUAS), in conjunction with surveyed ground control points (GCP) visible in the imagery, can be processed with structure-from-motion (SfM) photogrammetry techniques to produce high-resolution orthomosaics, three-dimensional (3D) point clouds and digital elevation models (DEMs). This dataset, prepared by the U.S. Geological Survey (USGS)

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), collected multibeam bathymetry data off the coast of Santa Rosa Island, Florida in June of 2019. The data was collected as part of the USGS Resource Evaluation for Management Applications (CREMA) project. This USGS Data Release includes the resulting processed elevation point data (XYZ) as derived from a 1-m