Preliminary slope mass movement susceptibility mapping using DEM and LiDAR DEM
Détails
ID Serval
serval:BIB_7C9BBA4E7E82
Type
Partie de livre
Collection
Publications
Institution
Titre
Preliminary slope mass movement susceptibility mapping using DEM and LiDAR DEM
Titre du livre
Terrigenous Mass Movements
Editeur
Springer Berlin Heidelberg
ISBN
978-3-642-25494-9
Statut éditorial
Publié
Date de publication
2012
Editeur⸱rice scientifique
Pradhan B., Buchroithner M.
Pages
109-170
Langue
anglais
Notes
Jaboyedoff2012
Résumé
Hazard mapping in mountainous areas at the regional scale has greatly
changed since the 1990s thanks to improved digital elevation models
(DEM). It is now possible to model slope mass movement and floods
with a high level of detail in order to improve geomorphologic mapping.
We present examples of regional multi-hazard susceptibility mapping
through two Swiss case studies, including landslides, rockfall, debris
flows, snow avalanches and floods, in addition to several original
methods and software tools. The aim of these recent developments
is to take advantage of the availability of high resolution DEM (HRDEM)
for better mass movement modeling. Our results indicate a good correspondence
between inventories of hazardous zones based on historical events
and model predictions. This paper demonstrates that by adapting tools
and methods issued from modern technologies, it is possible to obtain
reliable documents for land planning purposes over large areas.
changed since the 1990s thanks to improved digital elevation models
(DEM). It is now possible to model slope mass movement and floods
with a high level of detail in order to improve geomorphologic mapping.
We present examples of regional multi-hazard susceptibility mapping
through two Swiss case studies, including landslides, rockfall, debris
flows, snow avalanches and floods, in addition to several original
methods and software tools. The aim of these recent developments
is to take advantage of the availability of high resolution DEM (HRDEM)
for better mass movement modeling. Our results indicate a good correspondence
between inventories of hazardous zones based on historical events
and model predictions. This paper demonstrates that by adapting tools
and methods issued from modern technologies, it is possible to obtain
reliable documents for land planning purposes over large areas.
Création de la notice
25/11/2013 16:26
Dernière modification de la notice
20/08/2019 14:38