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
Inglese
Gervasi O.; et al.
ICCSA 2020
723
737
9783030588014
https://link.springer.com/chapter/10.1007/978-3-030-58802-1_52
Springer Nature Switzerland
Basel
SVIZZERA
Sì, ma tipo non specificato
Basilicata
Calciano
Fluvial landscape
Hydrographic network
LiDAR
1
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
restricted
Lazzari, M
info:eu-repo/semantics/bookPart
File in questo prodotto:
File Dimensione Formato  
prod_440312-doc_198012.pdf

solo utenti autorizzati

Descrizione: High-Resolution LiDAR-Derived DEMs in Hydrografic Network Extraction and Short- Time Landscape Changes
Tipologia: Versione Editoriale (PDF)
Dimensione 4.91 MB
Formato Adobe PDF
4.91 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/422355
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? ND
social impact