Displaying 10 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.
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.
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.
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.
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.
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.
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.
