Remarkable technological progress in remote sensing and geophysical surveying, together with the recent development of innovative data treatment techniques are providing new scientific opportunities to investigate landslide processes and hazards all over the world. Remote sensing and geophysics, as complementary techniques for the characterization and monitoring of landslides, offer the possibility to effectively infer and correlate an improved information of the shallow -or even deep- geological layers for the development of conceptual and numerical models of slope instabilities. Their ability to provide integrated information about geometry, rheological properties, water content, rate of deformation and time-varying changes of these parameters is ultimately controlling our capability to detect, model and predict landslide processes at different scales (from site specific to regional studies) and over multiple dimensions (2D, 3D and 4D).

This session welcomes innovative contributions and lessons learned from significant case studies using a myriad of remote sensing and geophysical techniques and algorithms, including optical and radar sensors, new satellite constellations (including the emergence of the Sentinel-1A and 1B), Remotely Piloted Aircraft Systems (RPAS) / Unmanned Aerial Vehicles (UAVs) / drones, high spatial resolution airborne LiDAR missions, terrestrial LIDAR, Structure-from-Motion (SfM) photogrammetry, time-lapse cameras, multi-temporal Synthetic Aperture Radar differential interferometry (DInSAR), GPS surveying, Seismic Reflection, Surface Waves Analysis, Geophysical Tomography (seismic and electrical), Seismic Ambient Vibrations, Acoustic Emissions, Electro-Magnetic surveys, low-cost (/cost-efficient) sensors, commercial use of small satellites, Multi-Spectral images, Real time monitoring, in-situ sensing, etc.

The session will provide an overview of the progress and new scientific approaches of Earth Observation (EO) applications, as well as of surface- and borehole-based geophysical surveying for investigating landslides. A special emphasis is expected not only on the collection but also on the interpretation and use of high spatiotemporal resolution data to characterize the main components of slope stability and dynamics, including the type of material, geometrical and mechanical properties, depth of water table, saturation conditions and ground deformation over time. The discussion of recent experiences and the use of advanced processing methods and innovative algorithms that integrate data from remote sensing and geophysics with other survey types are highly encouraged, especially with regard to their use on (rapid) mapping, characterizing, monitoring and modelling of landslide behaviour, as well as their integration on real-time Early Warning Systems and other prevention and protection initiatives. Other pioneering applications using big data treatment techniques, data-driven approaches and/or open code initiatives for investigating mass movements using the above described techniques will also be considered on this session.

We invited prof. Denis Jongmans (Isterre, Université Grenoble Alpes, France), as guest speaker for the session.

Co-organized as ESSI1.6/GI4.19/GM7.13/SSS13.15, co-sponsored by JpGU
Convener: Antonio Abellan | Co-conveners: Janusz Wasowski, Masahiro Chigira, André Stumpf, Jan Burjanek
| Wed, 10 Apr, 14:00–18:00
Room 1.61
| Attendance Wed, 10 Apr, 10:45–12:30
Hall X3

Attendance time: Wednesday, 10 April 2019, 10:45–12:30 | Hall X3

Chairperson: Antonio Abellan, Masahiro Chigira, Janusz Wasowski, André Stumpf, Jan Burjanek
X3.169 |
Chiara Crippa, Federico Agliardi, Margherita C. Spreafico, Paolo Frattini, Giovanni B. Crosta, and Elena Valbuzzi
X3.170 |
Hans-Balder Havenith, Anne-Sophie Mreyen, Léna Cauchie, Philippe Cerfontaine, and Mihai Micu
X3.173 |
István Bozsó, László Bányai, Csilla Szárnya, Eszter Szűcs, and Viktor Wesztergom
X3.174 |
Erik Kuschel, Saskia Eppinger, Eric Bernard, Florian Tolle, Alexander Prokop, Jean-Michel Friedt, and Christian Zangerl
X3.175 |
Dagan Bakun-Mazor and Eyal Ben-Dor
X3.177 |
Omid Ghorbanzadeh, Daniel Hölbling, Sansar Raj Meena, and Thomas Blaschke
X3.178 |
Marc-Henri Derron and Michel Jaboyedoff
X3.179 |
Yu-Chung Hsieh, Yu-Chang Chan, Mien-Ming Chen, and Li-Yuan Fei
X3.181 |
Chih-Heng Lu, Ray Y. Chuang, Jiun-Yee Yen, and Yu-Ting Kuo
X3.182 |
Ryu Miura, Tatsuya Watanabe, Shintaro Yamasaki, and Shunzo Kawajiri
X3.183 |
Che-Ming Yang, Keng-Hao Kang, Kuo-Wei Li, Hui-Jung Wang, Yin-Tsan Lee, Kuei-Kun Lin, Yii-Wen Pan, and Jyh-Jong Liao
X3.185 |
Sylvain Fiolleau, Laurent Borgniet, Denis Jongmans, Grégory Bièvre, and Guillaume Chambon
X3.186 |
Measurement and FD modelling of local rock-slope micro-deformations and tilts at Alpe di Roscioro, Switzerland
Ivo Oprsal, Jan Burjanek, and Johannes Thun
X3.187 |
William Ries, Garth Archibald, Katie Jones, Chris Massey, and Thomas Glade
X3.188 |
Trine Dahl-Jensen, Kristian Svennevig, John Peter Merryman Boncori, Tine B. Larsen, Anne Munck Solgaard, Peter H. Voss, and Sara Salehi
X3.189 |
Guillaume Thirard, Gilles Grandjean, Benjamin François, Adnand Bitri, Mickael Delatre, Olivier Maquaire, Stéphane Costa, and Yannick Thiery
X3.190 |
Landslide susceptibility assessment of rock slopes base on slope units
(withdrawn after no-show)
Yi-Xiang Su and Chia-Ming Lo
X3.191 |
Anne-Laure Argentin, Günther Prasicek, Jörg Robl, and Daniel Hölbling
X3.192 |
Mihai Niculita, Mihai Ciprian Margarint, Nicusor Necula, Francisca Chiriloaiei, and Valeriu Stoilov-Linu
X3.193 |
Li Fei, Michel Jaboyedoff, José Pullarello, Marc-Henri Derron, Antoine Guerin, and François Noël
X3.194 |
Raphael Spiekermann, Daniel Hölbling, and Harley Betts