Displaying 20 Results
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.
Assessing Hazard Vulnerability and Resilience in Coastal Communities of the Delaware Bay
New Jersey is engaging communities in hazard mitigation planning through the use of vulnerability assessment tools.
Bringing Data and Tools to the Restoration Community at a National Conference
Partners unite to put the right Digital Coast data, tools, and training into the hands of communities working to restore vital estuary habitat
Building Community Resilience on Long Island, New York
The Coastal Resilience Long Island tool is being used by decision makers to gain a better understanding of ecological, social, and economic impacts from coastal hazards.
Developing Consistent Methods for Mapping Sea Level Rise in Southeast Florida
Four counties joined forces with other agencies and organizations to agree upon consistent methods for mapping sea level rise to better prepare for sea level rise-related issues.
Engaging Communities in New Hampshire to Strengthen Resilience
New Hampshire communities used the Roadmap for Adapting to Coastal Risk to assess and address vulnerabilities and work toward reducing risk.
Enhancing Resilience to Coastal Hazards in Connecticut
The Roadmap for Adapting to Coastal Risk approach and Coastal Resilience Decision Support Framework helped inform a Connecticut community’s recovery response to Hurricane Sandy.
Exploring Water Level Scenarios to Inform Shoreline Management on Lake Ontario
Lake-level drop scenarios and digital elevation models help regulators make informed shoreline management decisions.
Identifying Areas Vulnerable to Sea Level Rise in Georgia
The Sea Level Rise and Coastal Flooding Impacts Viewer helped a barrier island community develop an adaptation plan to prepare for and adapt to sea level rise.
Identifying Conservation Priorities for Sea Level Rise Adaptation in Coastal Maryland
Maryland used the Sea Level Affecting Marshes Model (SLAMM) to identify high-priority conservation areas that allow for wetland migration and future wildlife habitat.
Illustrating an Improved Community Streetscape in Connecticut
CanVis enabled officials to picture proposed changes to downtown areas.
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.
Informing Conservation Efforts in Coastal Georgia
Coastal conservation groups used the NatureServe Vista decision-support system to create new maps that aid in preservation of Georgia’s coastal habitat.
Linking Salt Marsh Distribution to Wind Wave Energy in North Carolina
WEMo helped reveal the link between marsh distribution and wave energy generated by extreme winds.
Mapping the Urban Realm to Enhance Community Resilience in Hawaii
C-CAP data helped identify priority urban forests, which enhance the health of coastal ecosystems and the resilience of coastal communities.
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 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.
Visualizing Flood Hazards with Residents and Floodplain Managers in Mississippi
A demonstration of the Sea Level Rise and Coastal Flooding Impacts Viewer spurred discussion at a hazards awareness exhibit.
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.
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.
