Physical Sciences and Mathematics Commons^™

Evaluating Hydrology Preservation Of Simplified Terrain Representations, Christopher S. Stuetzle, W. Randolph Franklin, Barbara Cutler

Computer Science Faculty Publications

We present an error metric based on the potential energy of water flow to evaluate the quality of lossy terrain simplification algorithms. Typically, terrain compression algorithms seek to minimize RMS (root mean square) and maximum error. These metrics fail to capture whether a reconstructed terrain preserves the drainage network. A quantitative measurement of how accurately a drainage network captures the hydrology is important for determining the effectiveness of a terrain simplification technique. Having a measurement for testing and comparing different models has the potential to be widely used in numerous applications (flood prevention, erosion measurement, pollutant propagation, etc). In this …