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).

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

Lazzari M
2020

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).
2020
Istituto di Scienze del Patrimonio Culturale - ISPC
9783030588014
Basilicata
Calciano
Fluvial landscape
Hydrographic network
LiDAR
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Descrizione: High-Resolution LiDAR-Derived DEMs in Hydrografic Network Extraction and Short- Time Landscape Changes
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/422355
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