Using 3D surface datasets to understand landslide evolution: From analogue models to real case study
Détails
ID Serval
serval:BIB_3D47BBA98488
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Using 3D surface datasets to understand landslide evolution: From analogue models to real case study
Titre de la conférence
Landslides and engineered slopes: Protecting society through improved understanding
Editeur
CRC Press
ISBN
978-0-415-62123-6
Statut éditorial
Publié
Date de publication
2012
Editeur⸱rice scientifique
Eberhardt E., Froese C., Turner K., Leroueil S.
Pages
575 - 579
Langue
anglais
Résumé
Early detection of landslide surface deformation with 3D remote sensing
techniques, as TLS, has become a great challenge during last decade.
To improve our understanding of landslide deformation, a series of
analogue simulation have been carried out on non-rigid bodies coupled
with 3D digitizer. All these experiments have been carried out under
controlled conditions, as water level and slope angle inclination.
We were able to follow 3D surface deformation suffered by complex
landslide bodies from precursory deformation still larger failures.
These experiments were the basis for the development of a new algorithm
for the quantification of surface deformation using automatic tracking
method on discrete points of the slope surface. To validate the algorithm,
comparisons were made between manually obtained results and algorithm
surface displacement results. Outputs will help in understanding
3D deformation during pre-failure stages and failure mechanisms,
which are fundamental aspects for future implementation of 3D remote
sensing techniques in early warning systems.
techniques, as TLS, has become a great challenge during last decade.
To improve our understanding of landslide deformation, a series of
analogue simulation have been carried out on non-rigid bodies coupled
with 3D digitizer. All these experiments have been carried out under
controlled conditions, as water level and slope angle inclination.
We were able to follow 3D surface deformation suffered by complex
landslide bodies from precursory deformation still larger failures.
These experiments were the basis for the development of a new algorithm
for the quantification of surface deformation using automatic tracking
method on discrete points of the slope surface. To validate the algorithm,
comparisons were made between manually obtained results and algorithm
surface displacement results. Outputs will help in understanding
3D deformation during pre-failure stages and failure mechanisms,
which are fundamental aspects for future implementation of 3D remote
sensing techniques in early warning systems.
Création de la notice
25/11/2013 16:26
Dernière modification de la notice
20/08/2019 13:33