THE ANALYSIS OF GEOMORPHIC FEATURES IN THE DIGITAL TERRAIN ERA
In this talk, I will present recently developed tools for the objective and automatic extraction of geomorphic features from high-resolution topography data, particularly channel networks and channel morphology. I will focus on the software GeoNet we recently proposed [Passalacqua 2010a,b; 2012]. With a combination of statistical analysis and image processing, including nonlinear filtering and geodesic minimization principles, GeoNet achieves an automatic and objective extraction of geomorphic features, including channel heads, channel networks, and channel bank locations. Results from the application of GeoNet to a variety of test cases are presented and include steep and landslide-dissected basins and flat and engineered landscapes. I will particularly focus on the newly developed features of GeoNet, including a multi-scale statistical analysis of topographic attributes developed to optimize the performance of GeoNet by embedding the characteristics of the landscape in analysis in the feature extraction procedure.
Passalacqua, P., T. Do Trung, E. Foufoula-Georgiou, G. Sapiro, and W. E. Dietrich (2010a). J. Geophys. Res., 115, F01002, doi:10.1029/2009JF001254.
Passalacqua, P., P. Tarolli, and E. Foufoula-Georgiou (2010b). Water Resour. Res., 46, W11535, doi:10.1029/2009WR008812.
Passalacqua, P., P. Belmont, and E. Foufoula-Georgiou (2012). Water Resour. Res., 48, W03528, doi:10.1029/2011WR010958.