Digital Terrain Modelling (DTM, DEM, DHM, DTEM) concepts and their implementation and applications in geomatics engineering and other disciplines. Emphasis will be on mathematical techniques used in the acquisition processing, storage, manipulation, and applications of DTM. Models of DTM (Grids, Contours, and TINS), data structures (Delaunay trainagulation, Voronoi diagram, Octree, k-D tree) processing (filtering, random sample concensus, surface normal computation), surface representation from point data using moving averages, linear projection, and Kriging techniques. Grid resampling methods and search algorithms used in gridding and interpolation. DTM derivatives (slope maps, aspect maps, viewsheds, and watershed). Applications of DTM in volume computation, and drainage networks.
This course may not be repeated for credit.

Sections

This course will be offered next in Fall 2019.