Innovation in Analysis and Forecasting of Vulnerability to Slow-Moving Landslides

Publication type: Book Chapter
Publication date: 2020-12-23
Springer Nature
SJR: —
CiteScore: —
Impact factor: —
ISSN: 26621894, 26621908
Abstract
The analysis of consequence induced by landslides to the built environment is a key step in the landslide risk management process. For this purpose, a thorough knowledge of both the landslide mechanisms and the behaviour/characteristics of the exposed elements turn out to be crucial. Currently, scientists and technicians have access to unprecedented big data sources that provide a variety of useful information on landslide-affected areas. With reference to slow-moving landslides, this paper presents some case studies of an ongoing research aimed at defining and testing original procedures pursuing the exploitation of innovative monitoring/surveying techniques for the analysis and forecasting of vulnerability of buildings and roads.
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GOST |
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GOST Copy
Peduto D. et al. Innovation in Analysis and Forecasting of Vulnerability to Slow-Moving Landslides // Understanding and Reducing Landslide Disaster Risk. 2020. pp. 441-446.
GOST all authors (up to 50) Copy
Peduto D., Nicodemo G., Nappo N., Gullà G. Innovation in Analysis and Forecasting of Vulnerability to Slow-Moving Landslides // Understanding and Reducing Landslide Disaster Risk. 2020. pp. 441-446.
RIS |
Cite this
RIS Copy
TY - GENERIC
DO - 10.1007/978-3-030-60227-7_51
UR - https://doi.org/10.1007/978-3-030-60227-7_51
TI - Innovation in Analysis and Forecasting of Vulnerability to Slow-Moving Landslides
T2 - Understanding and Reducing Landslide Disaster Risk
AU - Peduto, Dario
AU - Nicodemo, Gianfranco
AU - Nappo, Nicoletta
AU - Gullà, Giovanni
PY - 2020
DA - 2020/12/23
PB - Springer Nature
SP - 441-446
SN - 2662-1894
SN - 2662-1908
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2020_Peduto,
author = {Dario Peduto and Gianfranco Nicodemo and Nicoletta Nappo and Giovanni Gullà},
title = {Innovation in Analysis and Forecasting of Vulnerability to Slow-Moving Landslides},
publisher = {Springer Nature},
year = {2020},
pages = {441--446},
month = {dec}
}