Landscape Dynamics from LiDAR Data
Geomorphometry 2011, 07-09 September 2011, Esri, Redlands, California
Helena Mitasova, Eric Hardin, Michael J. Starek, Russell S. Harmon, and Margery F. Overton
“We propose a multidimensional framework for characterization of land surface dynamics based on time series of elevation data acquired by LiDAR technology. The proposed methods integrate line feature, surface and volume analysis. A novel, least cost path approach for coastal dune ridge and dune toe extraction is presented to support automated feature evolution analysis. Per-cell statistics is applied to DEM time series to extract the stable landscape core and map the extent of land surface dynamics. Voxel representation of terrain evolution within spacetime cube is explored and used to visualize contour evolution.
Change in the dune ridge, dune toe and shore line between the years 1998 and 2008: (a) respective evolution bands, (b) 3D ridge evolution space.
“The framework is applied to analysis of barrier island dynamics using time series of airborne LiDAR data acquired over the past decade. Field-scale elevation change is studied based on terrestrial LiDAR surveys and flow patterns. Impact of terrain modification on flow pattern is investigated using Tangible Geospatial Modeling System.”
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All presentation materials and reviewed papers from Geomorphometry 2011 are available at http://geomorphometry.org/content/geomorphometry-2011-programme.
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