The contribution of DInSAR techniques for slow-moving landslide characterization
Leonardo Cascini, Settimio Ferlisi, Dario Peduto, Gianfranco Fornaro
In the proceedings of: GEO2010 Calgary: 63rd Canadian Geotechnical Conference & 6th Canadian Permafrost ConferenceSession: W3-B
ABSTRACT: This work shows the potential of innovative procedures for the slow-moving landslide characterization at different scales. Particularly, the procedures are based on the joint use of data obtained via Differential SAR Interferometry (DInSAR) remote sensing techniques, at both full- and low-resolution, the kinematic of the landslides and the landslide-induced damage to structures/infrastructures.
RÉSUMÉ: L'article montre le potentiel d'innovant procédures Œ basées sur l'use combiné des données obtenus par les techniques d'Interférométrie Différentiel SAR (DInSAR), à les deux haute et bas résolution, avec l'aide de considérations sur la géométrie d'acquisition des détecteurs, la cinématique des glissements de terrain et les dommages expérimentés dans les structures/infrastructures qu'interagit avec les phénomènes Œ en caractériser les glissements de terrain à cinématique lente en ce qui concerne d'échelles d'analyse différentes. 1 INTRODUCTION
Please include this code when submitting a data update: GEO2010_218
Access this article:
Canadian Geotechnical Society members can access to this article, along with all other Canadian Geotechnical Conference proceedings, in the Member Area. Conference proceedings are also available in many libraries.
Cite this article:
Leonardo Cascini; Settimio Ferlisi; Dario Peduto; Gianfranco Fornaro (2010) The contribution of DInSAR techniques for slow-moving landslide characterization in GEO2010. Ottawa, Ontario: Canadian Geotechnical Society.
@article{GEO2010_120,
author = Leonardo Cascini; Settimio Ferlisi; Dario Peduto; Gianfranco Fornaro,
title = The contribution of DInSAR techniques for slow-moving landslide characterization ,
year = 2010
}
title = The contribution of DInSAR techniques for slow-moving landslide characterization ,
year = 2010
}