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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Southeast CASC > FY 2011 Projects > SERAP: Modeling of Global and Land Use Change Impacts > Approved DataSets ( Show all descendants )

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_ScienceBase Catalog
__National and Regional Climate Adaptation Science Centers
___Southeast CASC
____FY 2011 Projects
_____SERAP: Modeling of Global and Land Use Change Impacts
______Approved DataSets
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In the Southeastern U.S. rapid urbanization is a major challenge to developing long-term conservation strategies. The SAMBI DSL project used predicted urban growth models described herein to inform future landscape conditions that were also based climate change impacts and vegetative community succession. These future landscape conditions were then applied as a context for land use and management decisions in conservation planning. SLEUTH, named for the model input datasets (Slope, Land use, Excluded, Urban, Transportation and Hillshade) is the evolutionary product of the Clarke Urban Growth Model that uses cellular automata, terrain mapping and land cover change modeling to address urban growth (Jantz et al, 2009;...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...
This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...


    map background search result map search result map Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project