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Filters Date Types (for Date Range) Contacts Georgina M Sanchez Salas Anna Petrasova U.S. Geological Survey Climate Adaptation Science Centers Ecosystems More... Tag Types Theme (2) Place (2) Harvest Set (2) USGS Scientific Topic Keyword (2) Tag Schemes Geographic Names Information System(GNIS) (2) USGS Thesaurus (2) Geospatial datasets (2) ISO 19115 Topic Category (2) View Results as: JSON ATOM CSV

FUTURES v3: Scenarios of Future Patterns of Urbanization in Response to Sea Level Rise and Frequent Flooding Across the Southeast United States from 2020 to 2100 Policy-relevant flood risk modeling must capture interactions between physical and social processes to accurately project impacts from scenarios of sea level rise and inland flooding due to climate change. Here we simultaneously model urban growth, flood hazard change, and adaptive response using the FUTure Urban-Regional Environment Simulation (FUTURES) version 3 framework (Sanchez et al., 2023). FUTURES is an open source urban growth model designed to address the regional-scale ecological and environmental impacts of urbanization; it is one of the few land change models that explicitly captures the spatial structure of development in response to user-specified scenarios. We present probabilistic land change projections... Tags: Alabama, Arkansas, Climate migration, Florida, Georgia, All tags... Kentucky, Land Use Change, Land use change, Louisiana, Mississippi, North Carolina, Projection, Scenario, Scenario-based land change modeling, South Carolina, Southeast, Tennessee, Texas, USGS Science Data Catalog (SDC), Urban growth, Urbanization, environment, society, Fewer tags FUTURES v2: Status Quo Projections of Future Patterns of Urbanization Across the Conterminous United States from 2020 to 2100 We simulated future patterns of urban growth using the FUTure Urban-Regional Environment Simulation (FUTURES; Meentemeyer et al., 2013) version 2 framework. FUTURES is an open source urban growth model designed to address the regional-scale ecological and environmental impacts of urbanization; it is one of the few land change models that explicitly captures the spatial structure of development in response to user-specified scenarios. We present probabilistic land change projections that predict urban growth under a Status Quo scenarios of growth. We computed each scenario for 50 stochastic iterations from 2020 through 2100 at annual time steps. Tags: Conterminous United States, Land Use Change, Land use change, Projection, Scenario, All tags... Scenario-based land change modeling, USGS Science Data Catalog (SDC), Urban growth, Urbanization, imageryBaseMapsEarthCover, society, Fewer tags