Categorie
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

Agenda

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.

Categorie
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:
    https://www.youtube.com/watch?v=FWaA_V0ZLi4&t=70s

    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 luca.piciullo@ngi.no

  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”  
    https://link.springer.com/article/10.1007/s11069-022-05524-3

    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.
Categorie
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

Categorie
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!

Categorie
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. https://doi.org/10.1016/j.ijdrr.2022.103089 

The tool: https://landslide-aidr.qcri.org/service.php

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

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

WG8 – Workshop #2: Real-time monitoring strategies as landslide risk management: 3 case studies

NEWS received from
Luca Piciullo (NGI Norway)

—–

Second Workshop on Real-time monitoring strategies as landslide risk management for the IoT-based methods and analyses Working group

September 8 – 16:00 – 17:30 CET time

Agenda

16:00 – 16:15 – Dr. Luca Piciullo – Timeline and planned activities

16:15 – 16:30 – Prof. Emanuele Intrieri – Design of slope-scale LEWSs: from theory to practice  

16:30 – 16:45 – Armin Dachauer – Comprehensive soil wetness monitoring for landslide hazard assessment in the Napf region (Emmental, Switzerland)

16:45 – 17:00 – Prof. Claudia Meisina – Hydrological monitoring for LEWS: the case of Oltrepo Pavese (Northern Italy)

17:00 – 17:30 – Discussion

Prof. Emanuele Intrieri  is an Assisting Professor at the Earth Sciences Department at the University of Florence. His research is mainly devoted to landslides monitoring and forecasting, with particular reference to slope stability threatening cultural heritage and the characterization of historical and heritage stone buildings affected by detachments. He is author or co-author of more than 50 scientific publications in international journals and of a number of conference proceedings and book chapters. He took part in several national and international research projects and to civil protection emergencies as team member of the Centre of Competence of the Italian Civil Protection Department and of the UNESCO Chair on Prevention and sustainable management of geo-hydrological hazards.

Armin Dachauer  received his master degree in Atmospheric and Climate Science at ETH Zurich. He is currently working as research assistant at the Swiss Federal Research Institute WSL (Birmensdorf, Switzerland), where he is responsible for soil wetness stations in Central Switzerland.

Prof. Claudia Meisina  received her PhD in Earth Sciences from the University of Pavia (Italy). Currently is associate professor in Engineering Geology at the Department of Earth and Environmental Sciences of University of Pavia, where she leads the Laboratory of Engineering Geology and she is member of the PhD School of Earth and Environmental Sciences.  She has been a post-doc at the BRGM in France. She received fellowships through Italian Foreign Affairs Ministry and Centre International pour la Formation et les Echange Géologiques. She is actually involved in Liquefact Horizon 2020 Project and in several projects about the role of land use in shallow landslide triggering.

__________________________

Categorie
LandAware network News from members

New media resources on LEWS

NEWS received from
Mirianna Budimir (Practical Action, SHEAR)

We are pleased to share some collaborative resources on landslide early warning systems co-produced by the Science for Humanitarian Emergencies and Resilience (SHEAR) programme and LandAware:

We hope you find these resources useful and encourage you to use them and share them with your networks.

As a reminder, these resources have been produced to complement existing SHEAR publications:

Related information and resources that are relevant from SHEAR can be found below:

For any questions, please contact mirianna.budimir@practicalaction.org.uk

Categorie
LandAware network News from members WG02 Communication-Networking

New publication on landslide forecasting

NEWS received from
Mirianna Budimir (Practical Action, SHEAR)

A new publication on landslide forecasting was developed by one of the Impact and Influence projects under the FCDO and UKRI-NERC funded SHEAR programme. The title of the work is “Framework for implementation of a landslide early warning forecast model in developing countries: Challenges and lessons from SHEAR.

Forecasting rainfall-induced landslides is a difficult yet important task that can provide time to take action to save lives, reduce economic losses and help to mitigate the impacts of landslides. The type, quality and accessibility of data directly constrain the choice of approach used for the landslide forecasting and its skill. However, in many landslide-prone countries, limited resources, and lack of investment lead to limited data availability and/or insufficient quality data for informed forecasts.
This paper collates understanding from SHEAR consortium members on key considerations for developing territorial (‘regional-scale’) landslide forecasts, particularly in developing country contexts.
The paper has been led by members from Consiglio Nazionale delle Ricerche, the British Geological Survey, the UK Met Office, and Practical Action Consulting International from the LANDSLIP project. The content of this publication has been greatly informed by discussions within LANDSLIP reflecting on project experiences through workshops within
the consortium and across the SHEAR programme.

Categorie
LandAware network News from members

PhD position at the University of Salerno

NEWS received from
Michele Calvello (University of Salerno, Italy)

A PhD position in “Innovative monitoring and warning strategies for weather-induced landslides using IoT and Machine Learning” is offered at the University of Salerno, Italy. The deadline for applications is 14 July 2022.

The PhD research will be conducted as part of a recently funded Horizon Europe project, coordinated by Prof. Michele Calvello, called “The HuT (Human-Tech nexus): Building a safe haven for coping with climate extremes.” The project includes 26 EU Partners and 10 demonstrators across Europe. The HuT will employ innovative DRR solutions, accounting for the potential variations induced by climate change, and will deal with weather-induced events tackled with trans-disciplinary risk management tools and approaches.

Deadline to apply for the PhD fellowship: 14 July 2022

Call:
https://web.unisa.it/en/teaching/phd-programmes
Annex:
https://web.unisa.it/uploads/rescue/151/6605/risk-and-sustainability-in-civil-architectural-and-environmental-engineering-systems.pdf

Categorie
News from members WG08 IoT-based methods and analyses

WG8 – #1 Workshop on Seismic noise and Geophysical monitoring

NEWS received from
Luca Piciullo (NGI Norway)

—–

First Workshop on Seismic noise and Geophysical monitoring for the IoT-based methods and analyses Working group

July 5, 2022 — 16:00 – 17:30 CET

Agenda

———-          

Dr. Eric Larose is a CNRS Director of Research at Joseph Fourier University in Grenoble, France. Eric is the Director of LABCOM, a joint industry-academia research partnership focused on developing innovative technologies and methodologies to monitor and predict natural and artificial instabilities. Eric has a history of transdisciplinary work related to natural hazard monitoring. His expertise lies in geophysics and seismology. 

Dr. Jim Whiteleyis a geophysicist, with expertise in integrating seismic investigation methods with well-established electrical resistivity tomography monitoring methods. His research focuses on the application of these methods to monitor landslides, with an emphasis on establishing hydrogeological and geomechanical precursors to slope failure. He is currently employed at the British Geological Survey.

Dr. Malgorzata Chmiel is Postdoc at Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). She is a geophysicist, with expertise in seismic data (ground vibrations) generated by mass movements and ambient noise sources. Her research focuses the application of machine learning to natural hazards (e.g., debris flow detection with machine learning and seismic data).