Environmental Sciences Commons^™

Automatic Geomorphic Feature Extraction From Lidar In Flat And Engineered Landscapes, Paola Passalacqua, Patrick Belmont, Efi Foufoula-Georgiou

Watershed Sciences Faculty Publications

High-resolution topographic data derived from light detection and ranging (lidar) technology enables detailed geomorphic observations to be made on spatially extensive areas in a way that was previously not possible. Availability of this data provides new opportunities to study the spatial organization of landscapes and channel network features, increase the accuracy of environmental transport models, and inform decisions for targeting conservation practices. However, with the opportunity of increased resolution topographic data come formidable challenges in terms of automatic geomorphic feature extraction, analysis, and interpretation. Low-relief landscapes are particularly challenging because topographic gradients are low, and in many places both the …