Terrain Dynamics Analysis Using Space-Time Domain Hypersurfaces and Gradient Trajectories Derived From Time Series of 3D Point Clouds
Final rept. 1 Apr 2011-31 Mar 2014
NORTH CAROLINA STATE UNIV AT RALEIGH
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New framework for terrain evolution analytics based on time series of point cloud elevation data was developed and implemented in open source GIS. The framework introduced new terrain dynamics metrics that fully captures spatial and temporal variability of elevation surface change due to natural processes and human activities. The framework includes novel, robust techniques for processing time series of lidar point clouds with diverse properties into consistent representation of terrain evolution within space-time cube. Unique visualizations of modeled surface evolution were then generated by extracting and analyzing contour evolution isosurfaces. Surface gradient evolution in space-time cube was also investigated and topological relationships between the elevation and gradient hyper surface fields were explored. Evolution of second order space-time topographic parameters revealed high sensitivity to noise and need for further development of optimized space-time interpolation method. Tangible geospatial modeling system was further developed to support the analysis of changing elevation surfaces in controlled environment.
- Cartography and Aerial Photography
- Geology, Geochemistry and Mineralogy