Data

The U.S. Geological Survey (USGS) conducted interviews of professionals who make decisions about marshes during the Salt Marsh Evolution along the South Atlantic Bight project (SAB project) and the Marsh Model Retrospective initiative. During the SAB project, an advisory committee of marsh model users were interviewed in June 2023 about what decisions they make about marshes and how they...

Small Uncrewed Aircraft Systems (sUAS) were used to collect aerial remote sensing data over Sesuit Marsh in Dennis, MA. Raw data from aerial surveys include aerial images from natural color (RGB) and multispectral cameras and raw lidar data. These datasets were processed to produce high resolution digital elevation models (DEM), image mosaics, and lidar point clouds (LPC) to provide...

The data in this release support the journal article "Outwash events inhibit vegetation recovery and prolong coastal vulnerability". The research details the vegetation cover in washover and washout locations in North Carolina, Texas, and New York after hurricanes Florence, Dorian, Harvey, Ike, and Sandy. Aerial imagery observations indicate that washout sites create ponds and have a...

This data release contains the estimated lifespans of salt marshes in E.B. Forsythe National Wildlife Refuge (EBFNWR) and Atlantic-facing New Jersey. The lifespans are calculated based on estimated sediment supply and sea-level rise (SLR) predictions, following the methodology of Ganju and others (2020). The salt marsh delineations are from Ackerman and others (2024) and Defne and Ganju...

Ground reference data in the form of ecogeomorphic evaluations, topographic survey measurements, and geotagged photographs were collected at four areas of interest (AOI) across Fire Island National Seashore (FIIS), NY, USA September 16-19, 2024, that document site conditions. The overall goals of USGS personnel for the data collection were to: (1) collect ground reference data that...

A digital video camera was installed at Marconi Beach, Cape Cod National Seashore in Massachusetts (MA) as part of a U.S. Geological Survey (USGS) research project to study the beach and nearshore environment. The camera faced north-east along the beach and every hour during daylight hours, daily from January 2024 to September 2024, the camera collected raw video and produced snapshots...

Two digital video cameras (CACO-02) were installed at Marconi Beach, Cape Cod National Seashore in Massachusetts (MA) as part of a U.S. Geological Survey (USGS) research project to study the beach and nearshore environment. The cameras faced north-east (c1) and east (c2) along the beach and every half hour during daylight hours. They ran daily from March through June 2021, Feburary...

Small Uncrewed Aircraft Systems (sUAS) were used to collect aerial remote sensing data over Town Neck Beach, a highly trafficked local beach in Sandwich Massachusetts with parking lot, boardwalk, and state maintained sand and vegetation placement. USGS personnel collected natural (RGB) color images, LiDAR, and ground control points starting in December 2023 to support multiple science...

In July 2022, the U.S. Geological Survey (USGS) and the University of Maryland's Chesapeake Biological Laboratory conducted a study, USGS Field Activity Number (FAN) 2022-020-FA, in Chesapeake Bay to quantify greenhouse gas fluxes from the largest estuary in the United States. The team investigated the environmental factors that control the distribution and exchange of methane and carbon...

The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST v3.8; Warner and others, 2010; Warner and others, 2019) modeling system was used to simulate ocean circulation, water levels, waves, and sediment transport that occurred during Hurricane Michael (2018). Simulations were performed with coupled and concurrent ocean and wave models simulated on a series of refined, cascading grids...

These lidar point clouds and images cover, in high detail, the terrain at Great Sippewissett Marsh, Cape Cod, MA on November 2nd, 2022. USGS researchers tested different sensors that collected lidar and images for photogrammetry point cloud data using Uncrewed Aerial Systems (UAS) to look at differences in coverage and elevation accuracy. The lidar data were acquired with a YellowScan...

Marsh migration potential in the Chesapeake Bay (CB) salt marshes is calculated in terms of available migration area for each marsh unit defined by Ackerman and others (2022). The space available for landward migration is based on the NOAA marsh migration predictions under 2.0 feet of local sea-level rise (SLR). The migration space is further divided by National Hydrography Dataset (NHD)...