Digital Coast - NOAA Coastal Services Center

In Action

Related Tools

Nonpoint-Source Pollution and Erosion Comparison Tool
Examines land cover to measure runoff, nonpoint-source pollution, and erosion (extension to ArcGIS with Spatial Analyst)

Lidar Data Handler
Helps users work with lidar data (extension to ArcView or ArcGIS with Spatial Analyst)

Assessing Land-Based Threats to Coral Reef Habitats in Laolao Bay, CNMI
N-SPECT and the Habitat Priority Planner were used to assess land based threats and prioritize restoration areas.

Modeling Sediment Yield in Hawaii
N-SPECT was used to estimate the amount of sediment transported to Pelekane Bay.

Assessing Beach and Dune Susceptibility in Coastal New Jersey
The Beach-Dune Susceptibility Assessment uses lidar and aerial imagery data to develop a vulnerability rating.

Using Lidar to Plan for Sea Level Rise in Oregon
Coastal lidar and aerial photography made it possible to create a diked-land vulnerability inventory to help Oregon prepare for sea-level rise.

Using Geospatial Techniques to Plan for Climate Change Impacts on Coastal Habitats in South Carolina
Partners used the Sea Level Affecting Marshes Model and Habitat Priority Planner to identify priority lands to conserve as sea level rises.

Using Lidar to Determine Bluff Recession Rates for Lake Erie
Lidar data replaced existing field-based methods used to measure bluff recession rates.

Mapping Flood Forecasts for Better Flood Planning in Texas Communities
High-resolution elevation data were used to create inundation maps for various flood levels at river forecast locations.

Visualizing Sea Level Rise to Engage Municipal Government Officials in Coastal South Carolina
Maps created using lidar-derived elevation data engage stakeholders and illustrate future impacts of tidal flooding caused by sea level rise.

Partnering to Map Oceans and Coasts for Multiple Needs in North Carolina
High-resolution digital aerial imagery and topographic lidar support multiple applications throughout NOAA.

Adapting to Sea Level Rise in Miami-Dade County, Florida
County departments identify specific actions to adapt to climate change through the Roadmap for Adapting to Coastal Risk training.

Modeling Future Development for Eastern North Carolina
C-CAP and lidar data were used to model potential future growth and land cover change.

Visualizing the Impacts of Sea Level Rise in Delaware
Lidar data were used to generate maps showing the possible impacts of inundation using three different sea level rise scenarios.

Improving Inundation Prediction and Visualization Capabilities for the New England Coast
Coastal flood Web-mapping applications help coastal managers in New England visualize and enhance awareness of coastal flooding.