High-Resolution LiDAR-Derived DEMs in Hydrografic Network Extraction and Short-Time Landscape Changes

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Abstract

In this paper an automatic methodology to extract the channel network from high-resolution LiDAR-derived DTMs and a semi-quantitative methodology to assess the short-time landscape evolution of a test-area, located in southern Italy, have been applied. In particular, the technique used is based on a local nonlinear filter together with the global geodesic optimization for channel head and drainage network extraction. Further, the two Lidar acquisition for the year 2012 and 2013 have been used to detect hydrographic network changes and slope evolution in terms of erosion and deposition pattern and then compare them with the slope processes (landslides and linear erosion).

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Lazzari, M. (2020). High-Resolution LiDAR-Derived DEMs in Hydrografic Network Extraction and Short-Time Landscape Changes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12250 LNCS, pp. 723–737). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58802-1_52

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