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Browsing by Author "Nelson, Joel"

Now showing 1 - 8 of 8
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    Basics of using LiDAR data, Exercise #1: Accessing Minnesota LiDAR data
    (2013) Nelson, Joel
    This exercise was developed as part of the “Conservation Applications of LiDAR” project – a series of hands-on workshops and online resources designed to help Minnesota GIS specialists effectively use LiDAR-derived data to address natural resource issues. The project was funded by a grant from the Environment and Natural Resources Trust Fund, and was presented by the University of Minnesota Water Resources Center with expertise provided from the University of Minnesota, MN Department of Natural Resources, MN Board of Water and Soil Resources, and USDA Natural Resources Conservation Service. More information is at http://tsp.umn.edu/lidar.
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    Basics of using LiDAR data, Exercise #2: Raster processing
    (2013) Nelson, Joel
    This exercise was developed as part of the “Conservation Applications of LiDAR” project – a series of hands-on workshops and online resources designed to help Minnesota GIS specialists effectively use LiDAR-derived data to address natural resource issues. The project was funded by a grant from the Environment and Natural Resources Trust Fund, and was presented by the University of Minnesota Water Resources Center with expertise provided from the University of Minnesota, MN Department of Natural Resources, MN Board of Water and Soil Resources, and USDA Natural Resources Conservation Service. More information is at http://tsp.umn.edu/lidar.
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    Basics of using LiDAR data, Exercise #3: Visualization and management
    (2013) Nelson, Joel
    This exercise was developed as part of the “Conservation Applications of LiDAR” project – a series of hands-on workshops and online resources designed to help Minnesota GIS specialists effectively use LiDAR-derived data to address natural resource issues. The project was funded by a grant from the Environment and Natural Resources Trust Fund, and was presented by the University of Minnesota Water Resources Center with expertise provided from the University of Minnesota, MN Department of Natural Resources, MN Board of Water and Soil Resources, and USDA Natural Resources Conservation Service. More information is at http://tsp.umn.edu/lidar.
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    Conservation applications of LiDAR data: Basics of using LiDAR data
    (2013) Nelson, Joel
    These slides were developed as part of the “Conservation Applications of LiDAR” project – a series of hands-on workshops and online resources designed to help Minnesota GIS specialists effectively use LiDAR-derived data to address natural resource issues. The project was funded by a grant from the Environment and Natural Resources Trust Fund, and was presented by the University of Minnesota Water Resources Center with expertise provided from the University of Minnesota, MN Department of Natural Resources, MN Board of Water and Soil Resources, and USDA Natural Resources Conservation Service. The training modules for this workshop are: Basics of using LiDAR data, Terrain Analysis, Hydrologic Applications, Engineering Applications, Wetland Mapping, and Forest and Ecological Applications.
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    Conservation applications of LiDAR data: Terrain analysis
    (2012-03) Nelson, Joel
    These slides were developed as part of the “Conservation Applications of LiDAR” project – a series of hands-on workshops and online resources designed to help Minnesota GIS specialists effectively use LiDAR-derived data to address natural resource issues. The project was funded by a grant from the Environment and Natural Resources Trust Fund, and was presented by the University of Minnesota Water Resources Center with expertise provided from the University of Minnesota, MN Department of Natural Resources, MN Board of Water and Soil Resources, and USDA Natural Resources Conservation Service. The training modules for this workshop are: Basics of using LiDAR data, Terrain Analysis, Hydrologic Applications, Engineering Applications, Wetland Mapping, and Forest and Ecological Applications.
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    Efficient Algorithms for Geographic Watershed Analysis
    (2012-07-03) Barnes, Richard; Lehman, Clarence; Mulla, David; Galzki, Jacob; Wan, Haibo; Nelson, Joel
    This project is to analyze where wetlands and other vegetated buffers can be placed on the landscape to intercept drain waters and help purify them before they reach the natural watershed. The computational problem comes because new LIDAR images have expanded the resolution of geographic digital elevation models (DEMs) up to a thousandfold or more. This in turn has taxed the ability of existing algorithms to process the expanded datasets. Here we explain the project and present new efficient algorithms for parallel and scalar processing that reduce run-times from days on ordinary computers to minutes or second using the new algorithms in a parallel supercomputing environment.
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    Introduction and "LiDAR in Minnesota: Where We Are and How We Got Here"
    (2015-05-14) Nelson, Joel
    Minnesota is a leader in geospatial information, and one of few states in the U.S. with complete LiDAR coverage. We'll go through some LiDAR examples for our state, along with applications of LiDAR nationwide, discussing how LiDAR is rapidly changing a number of disciplines.
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