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Data

The Coastal and Marine Hazards and Resources Program is an innovator in mapping, field studies, data collection, and laboratory analyses, whose expertise is sought by other governmental agencies, educational institutions, and private companies. In turn, we seek collaborative research and development opportunities with similar groups.

Explore the data published by our scientists.

Filter Total Items: 683

Wave model results of the central Beaufort Sea coast, Alaska

A three-level SWAN (version 41.31) nesting grid has been developed for the central Beaufort Sea coast to simulate waves over the hindcast period 1979 - 2019. The model includes the implementations of sea ice by Rogers (2019) and includes both 1) a dissipation source term and 2) a scaling of wind input source as functions by sea ice. The bathymetric dataset used for the model is the International

Overlapping lakebed images and associated GNSS locations acquired near Dollar Point, Lake Tahoe, CA, March 2021

Underwater images were collected using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The system is named the Structure-from-Motion (SfM) Quantitative Underwater Imaging Device with Five Cameras (SQUID-5). However, there were only 4 cameras operational for this collection due to a cable failure. Images were collected March 10th and 11th of 2021 by tow

Eelgrass distributions and bathymetry of Bellingham Bay, Washington, 2019

This data release presents eelgrass distributions and bathymetry data derived from acoustic surveys of Bellingham Bay, Washington. Survey operations were conducted between February 16 and February 21, 2019 (USGS Field Activity Number 2019-606-FA) by a team of scientists from the U.S. Geological Survey Pacific Coastal and Marine Science Center and Washington State Department of Ecology. Eelgrass an

Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia

During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) Co

Seafloor Elevation and Volume Change Analyses from 2016 to 2019 Along the Florida Reef Tract, USA

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes along the Florida Reef Tract (FRT) from Miami to Key West within a 939.4 square-kilometer area. USGS staff calculated changes in seafloor elevation and volume from 2016 to 2019 using light detection and ranging (lidar)-derived digital elevation models (DEMs) acquire

Coastal Land-Cover and Feature Datasets Extracted from Landsat Satellite Imagery, Northern Chandeleur Islands, Louisiana

This data release serves as an archive of coastal land-cover and feature datasets derived from Landsat satellite imagery at the northern Chandeleur Islands, Louisiana. To minimize effects of tidal water-level variations, 75 cloud-free, low-water images acquired between 1984 and 2019 were analyzed. Water, bare earth (sand), vegetated, and intertidal land-cover classes were mapped from Hewes Point t

Aerial imagery and structure-from-motion data products from UAS survey of the intertidal zone at West Whidbey Island, WA, June 2019

An unmanned aerial system (UAS) was used to acquire high-resolution imagery of the intertidal zone at West Whidbey Island, Washington on June 4, 2019. This imagery was processed using structure-from-motion (SfM) photogrammetric techniques to derive a high-resolution digital surface model (DSM), orthomosaic imagery, and topographic point clouds. In order to maximize the extent of the subaerially

Aerial imagery and structure-from-motion data products from UAS survey of the intertidal zone at Lone Tree Point, Kiket Bay, WA, June 2019

An unmanned aerial system (UAS) was used to acquire high-resolution imagery of the intertidal zone at Lone Tree Point, Kiket Bay, Washington on June 5, 2019. This imagery was processed using structure-from-motion (SfM) photogrammetric techniques to derive a high-resolution digital surface model (DSM), orthomosaic imagery, and topographic point clouds. In order to maximize the extent of the suba

CTD profiles and discrete water-column measurements collected off California and Oregon during NOAA cruise SH-18-12 (USGS field activity 2018-663-FA) from October to November 2018 (ver. 2.0, September 2021)

Various water column variables, including salinity, dissolved inorganic nutrients, pH, total alkalinity, dissolved inorganic carbon, radio-carbon isotopes were measured in samples collected using a Niskin-bottle rosette at selected depths from sites offshore of California and Oregon from October to November 2018 during NOAA cruise SH-18-12 on the R/V Bell M. Shimada (USGS field activity 2018-663-F

Wave thrust values at point locations along the shorelines of Massachusetts and Rhode Island

This product provides spatial variations in wave thrust along shorelines in Massachusetts and Rhode Island. Natural features of relevance along the State coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pres

Wave thrust values at point locations along the shorelines of Chesapeake Bay, Maryland and Virginia

This product provides spatial variations in wave thrust along shorelines in the Chesapeake Bay. Natural features of relevance along the Bay coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pressure of waves.

Storm-Induced Overwash Extent

The National Assessment of Coastal Change Hazards project exists to understand and predict storm impacts to our nation's coastlines. This data release defines the alongshore extent of overwash deposits, determined from aerial photograph analysis, attributed to coastal processes during storm events. Note: This data release was versioned on June 11, 2024. Please see the Suggested Citation section f