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Land Use/Land Cover Assessment of Dane County, Wisconsin: Contemporary Trend and Future Projections By Eric Fabian
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Introduction Research Question: What will the future land use and land cover be by 2030 in Dane County, Wisconsin? Objective: To assess current land changes and predict future trends Human-Environmental and Spatial Tradition Remote Sensing Concept
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Concepts and Traditions Human-Environmental and Spatial Tradition Human impact combined with remote sensing for assessment Remote sensing and GIS algorithms used to predict change
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Data Landsat Imagery Classified LULC Images Lidar Data Census Block Group Data Income Data
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Classified Imagery Object-Based Classified Images showing urban land, forested land, agricultural land, and water bodies
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Lidar Data Lidar Imagery: Darker areas are of low elevations, lighter shades are of high elevation (Courtesy of Robinson Map Library, University of Wisconsin-Madison
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Types of Census Data Population Data used as “driver” to predict future trend From 2000 and 2010 At block group level for accuracy Income Data From 2000 and 2010
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Methodology Creation of two classified images using eCognition object based classification Creation of multiple secondary classes through a combination of ArcMap and Erdas Imagine Software Implementation of TerraSync Prediction Software using drivers like center of Madison, Wisconsin, distances to major roads, population change, income change
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Preliminary Discussion Increase of urban land from 2000-2010 signifies continued increase for future Decrease of forested land from 2000-2010 signals possible continued loss to 2030. Continued population growth Policies in place steering trends
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References http://education.nationalgeographic.com/education/standards/natio nal-geography-standards/?ar_a=1 (last accessed 13 February 2015) http://education.nationalgeographic.com/education/standards/natio nal-geography-standards/?ar_a=1 USGS Global Visualization Viewer http://glovis.usgs.gov/ (last accessed 27 February 2015http://glovis.usgs.gov/ United States Census Bureau www.census.gov (last accessed 27 February 2015)www.census.gov
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