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

Capitolo di libro
Data di Pubblicazione:
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).
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Basilicata; Calciano; Fluvial landscape; Hydrographic network; LiDAR
Elenco autori:
Lazzari, Maurizio
Autori di Ateneo:
LAZZARI MAURIZIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/422355
Titolo del libro:
ICCSA 2020
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URL

https://link.springer.com/chapter/10.1007/978-3-030-58802-1_52
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