LandAware network News from members

Call for abstracts for WLF6, Florence (Italy), is open

NEWS received from
Manfred Stähli (WSL, Switzerland)

We would like to draw your attention to the session 2.12. “LANDSLIDE EARLY WARNING SYSTEMS: INNOVATIONS AND APPLICATIONS” which is scheduled in the program of the 6th World Landslide Forum (Florence, Italy, 14-17 November 2023).

The session is open to contributions from researchers, agencies, decision-makers and practitioners and intends to cover every topic connected with LEWS, at every scale: methodological innovations, technical advances, operational implementations, reliability evaluation, documentation of case studies, communication strategies, social perception of warnings and management of uncertainties.

You can read the complete description of the session here, and submit your abstract at Please take note that the abstract submission deadline is set to 28 February 2023.

We wait for your contribution and we hope to see many LandAware colleagues in Florence next year!

Samuele Segoni, Manfred Stähli, Neelima Satyam, Annette Patton, Luca Piciullo and Graziella Devoli

LandAware network News from members WG08 IoT-based methods and analyses

Recording and material of WG8 – Workshop #3

NEWS received from
Luca Piciullo (NGI Norway)


If you have missed the WG8 Workshop #3 On the use of IoT data you can find the recording here 

and the material (ppt, references, other) here.

LandAware network WG02 Communication-Networking

Summary report of the LandAware Workshop 2022

The summary report of the LandAware Workshop 2022 is now available on the page:

The recordings of the Workshop are available on our youtube channel:

LandAware network News from members WG08 IoT-based methods and analyses

WG8 – Workshop #3: How to use IoT data in landslide modelling

NEWS received from
Luca Piciullo (NGI Norway)


Third Workshop on How to use IoT data in landslide modelling for the IoT-based methods and analyses Working group

December 1 – 16:00 – 17:30 CET time


16:00-16:15     Dylan Mikesell (NGI, Norway) – Timeline and planned activities

16:15-16:30     Ben Mirus (USGS, USA) – Overview of USGS monitoring, modeling, and other research strategies for real-time situational awareness and landside warning

16:30-16:45     Luca Piciullo (NGI, Norway) – A first step towards a IoT-based local early warning system for an unsaturated slope in Norway

16:45-17:00     Roberto Greco (University of Campania, Italy) – Identification of Hydrological Controls for Improvement of Shallow Landslide Prediction in Pyroclastic Slopes of Campania

17:00                Discussion      

Ben Mirus is a Research Geologist with the U.S. Geological Survey’s Landslide Hazards Program in Golden, Colorado. Ben applies his background in geology, hillslope hydrology, and numerical modeling towards developing new tools for landslide hazard assessment and loss reduction.

Luca Piciullo PhD at the University of Salerno, Italy, in Geotechnical engineering. Currently employed at the Norwegian Geotechnical Institute (NGI), Oslo, Natural Hazards division, in the section Slope stability and risk assessment. The technical and scientific work focuses on slope stability analysis, monitoring and risk mitigation with early warning systems, risk assessment of building damages due to deep excavations and tailings dams stability analysis.

Roberto Greco, Ph.D. in Hydraulic Engineering at Università di Napoli “Federico II” in 1997, professor of Hydrology and Hydraulic Infrastructures at Università della Campania “L. Vanvitelli”, teaching in the M.Sc. courses in Civil and Environmental Engineering. Since 2016, member of the Editorial Board of Hydrology and Earth System Sciences. The research activity deals with monitoring and modelling of water in natural and artificial systems, with specific focus on hillslope hydrology and landslides; preferential flows in unsaturated soils; environmental impact of sewer systems; management of water supply networks.

LandAware network News from members WG08 IoT-based methods and analyses

News from WG8

NEWS received from
Luca Piciullo (NGI, Norway)

  1. The recording of WG8 Workshop #2 of IoT-based monitoring, modelling and slope stability is available here:

    Workshop #2 was about real-time monitoring strategies for risk management. Three different case studies were presented by Emanuele Intrieri (University of Florence), Armin Dachauer (WSL), Claudia Meisina (University of Pavia).  

If you are interested to have access to the past workshops material (presentations, recordings, flyers) please send an email to

  1. New paper published on Natural Hazards journal on real-time monitoring and modelling: “A first step towards a IoT-based local early warning system for an unsaturated slope in Norway”

    The paper describes a framework for a IoT-based local landslide early warning system (Lo-LEWS). Monitoring, modelling, forecasting and warning represent the main phases of the proposed framework. In this study, the first two phases have been applied to capture the hydrological behaviour of a natural unsaturated slope located adjacent to a railway track in Eastern Norway.
LandAware network News from members

Session on LEWS at EGU2023

NEWS received from
Stefano Luigi Gariano (CNR IRPI, Italy)

The call-for-abstracts of EGU General Assembly 2023 is open!
#EGU23 will be an in-person/hybrid event in Vienna, Austria, on 23-28 April 2023.

The abstract submission deadline is 10 January 2023, 13:00 CET.

If you want to apply for financial support, submit an abstract by 1 December 2022, 13:00 CET.

The session entitled “Towards reliable Landslide Early Warning Systems” is now open to receive contributions.

The session focuses on LEWSs at all scale (from local to regional) and stages of maturity (i.e., from prototype to active and dismissed ones).
Test cases describing operational application of consolidated approaches are welcome, as well as works dealing with promising recent innovations, even if still at an experimental stage. The session is not focused only on technical scientific aspects, and submissions concerning practical and social aspects are also welcome.

Contributions addressing the following topics will be considered positively:
– conventional and innovative slope-scale monitoring systems for early warning purposes
– conventional and innovative regional prediction tools for warning purposes
innovative on-site instruments and/or remote sensing devices implemented in LEWS
warning models for warning/alert issuing
operational applications and performance analyses of LEWS
communication strategies
emergency phase management

LandAware network WG02 Communication-Networking

Recordings of the LandAware Workshop 2022

The recordings of the LandAware Workshop 2022, held in Zürich/Birmensdorf, Switzerland, on 3-5 October 2022, are now available on our youtube channel.

Manfred Stähli (WSL, Swizterland) and Michele Calvello (University of Salerno, Italy) presenting the workshop and the LandAware network.
Graziella Devoli from NVE, Norway presents “How we deal with summer convective rainfall and big storms
Nikhil Vasu from BGS, UK: Assessment of rainfall-induced landslide hazard at a regional scale. BGS experience through the Natural Hazards Partnership.
Richard Carter, BGC Consulting, Canada: Development of data-driven LEW thresholds for slow moving landslides in western Canada.
Silvia Peruccacci, CNR IRPI, Italy presents “An Italian experience of landslide forecasting along the national railway infrastructure”
Felipe Mandarino, from the City of Rio de Janeiro, Brazil, presents “LHASA Rio – A local LEWS based on NASAs global landslide hazard assessment model
Hiroaki Nakaya, NILIM – Japan: “Landslide Early Warning Systems. Some technical remarks from Japan
Andy Subiyantoro Regional and Local Landslide Early Warning System for Indonesia
Invited lecture by Lisa Luna (University of Potsdam, Germany) “Incomplete landslide inventory data: When is it a problem and what can we do with it?
Panel discussion on the topic “Warnings for natural hazards” moderated by Stefano Luigi Gariano (CNR IRPI, Italy). With Carina Fearnley (UCL Warning Research Center, UK), Rainer Kaltenberger (MeteoAlarm), Yano Atsuhisa (Japan Meteorological Agency).
LandAware network News from members

New HORIZON-project The HuT kicks off

NEWS received from
Manfred Stähli (Swiss Federal Research Institute WSL)

Today, the recently funded HORIZON-project The Hut (The Human-Tech Nexus – Building a Safe Haven to cope with Climate Extremes) kicks off at Sorrento (Italy) to leverage best practices and successful experiences to deal with the warning of various natural hazards. Ten demonstrators distributed across Europe will for the next four years constitute a muli-hazard arena wherein innovative risk-management tools will be tested and further developed. Several of these demonstrators (in Iceland, Spain, Italy and UK) will include the forecasting, warning and management of landslide events. LandAware is part of the Legacy advisory panel with the aim of linking to our network and forwarding specific information and good practices that are of specific relevance to the LandAware community. We will keep you updated!

LandAware network

LandAware Workshop 2022 done!

Three days of interesting talks, discussions, exchanges, excursions and fun!

Many thanks to all the participants and the WSL organizers!

LandAware network News from members

New real time Global Landslide Detector tool

NEWS received from
Catherine Pennington (British Geological Survey)

The British Geological Survey, the European-Mediterranean Seismological Centre and the Qatar Computing Research Institute have built a new Global Landslide Detector tool. 

This machine learning tool extracts data automatically in 32 languages from social media in real-time, identifying landslides in photographs and placing them on the global map. 

The tool is not intended to be used in isolation during a disaster scenario but could complement existing disaster workflows and provide new and timely data, taking into consideration the limitations described in the paper and data biases.  It could also bring efficiency savings for data acquisition for landslide databases.

This first iteration of the tool involves more extensive model training experiments and a larger dataset than previous research. 

Request for feedback:

The authors are asking the LandAware community to engage with the tool and feedback is requested on several elements including:

  • Expanding and refining the landslide keywords used to extract tweets
  • General feedback about the tool using the feedback form
  • Collaboration and engagement for future interations and applications

The paper: Pennington, C.V.L., Bossu, R., Ofli, F., Imran, M., Qazi, U.W., Roch, J. and Banks, V. (2022) A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence.  International Journal of Disaster Risk Reduction, v 77, 103089, 14 pp. 

The tool:

For any enquiries, please contact Catherine Pennington at the British Geological Survey