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
Link alla scheda completa:
Titolo del libro:
ICCSA 2020