Categorie
LandAware network

LEWS session at EGU25

News received from
Luca Piciullo (NGI, Norway), Stefano Luigi Gariano (CNR, Italy), Samuele Segoni (University of Florence, Italy)

The call-for-abstracts of EGU General Assembly 2025 is open!
EGU25 will be held in Vienna, Austria, and online on 27 April–2 May 2025.
Don’t miss the chance to submit an abstract to our session, “The use of monitoring, modelling, and forecasting in Landslide Early Warning Systems“.

This session focuses on LEWS at all scales and stages of maturity, 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.
Contributions addressing the following topics are welcome:
– real-time monitoring systems (IoT)
– prediction tools for warning purposes
– in-situ monitoring instruments and/or remote sensing devices
– warning models for issuing warning
– operational applications and performance analyses
– machine learning techniques applied for early warning purposes

The abstract submission deadline is 15 January 2025, 13:00 CET.

On-site participants who wish to apply for Roland Schlich travel support must be the contact author and the first and presenting author of their contribution. They must submit an abstract by 2 December 2024, 13:00 CET.

More info at: https://meetingorganizer.copernicus.org/EGU25/session/52290

Conveners:
Luca Piciullo, Tina Peternel, Stefano Luigi Gariano, Neelima Satyam, Samuele Segoni

Categorie
LandAware network

New landslide session at EGU25: NH3.16

NEWS received from
Lisa Luna (USGS, USA)

Dear colleagues, 
we’re introducing a NEW landslides session at EGU25: NH3.16 Linking weather-related landslide activity with hydro-meteorological drivers.  Join us to explore how hydro-meteorological drivers at scales from soil pores to weather systems affect landslide activity and to discuss how we can leverage this knowledge to improve landslide situational awareness and early warning.  We seek a wide range of perspectives from geomorphology, hydrology, meteorology, remote sensing, data science and beyond.  Please spread the word and keep our session in mind as you prepare your EGU contributions.

We look forward to learning about your research in Vienna!
Best wishes from the organizers, 
Lisa Luna, Corey Froese, Luca Piciullo, Yaser Peiro, Luca Ciabatta

Session description

NH3.16 Linking weather-related landslide activity with hydro-meteorological drivers

The growing availability of multi-temporal landslide inventories, for example from multi-epoch LiDAR, InSAR, and monitoring, has precipitated a shift from static landslide susceptibility evaluations to a better understanding of both spatial and temporal variations in landslide activity. In parallel, the development of regional to global hydroclimatic models, re-analysis products, next generation remote sensing products, and compilations of in-situ observations (such as ERA5, SMAP-L4, and GSDR) is allowing researchers to obtain a broader understanding of the hydro-meteorological conditions that affect landslide activity: for example soil moisture, snow melt, precipitation, and meso and synoptic scale weather systems. Currently, researchers and practitioners are exploring how linkages between historical landslide activity and hydro-meteorological drivers can be integrated to improve data driven models for landslide situational awareness and early warning systems. This session seeks to bring together a wide range of perspectives from geomorphology, hydrology, meteorology, remote sensing, data science and beyond to share experiences and to spur future research advances and operational application development. 

Subtopics may include:
• Constructing multi-temporal landslide activity data sets utilizing remote sensing data and/or point source terrestrial data
• Linking regional landslide activity trends and variability to hydro-meteorological, geological, morphological, or other conditions.
• Evaluating the suitability of different hydroclimatic models, re-analysis datasets, remote sensing products, and in-situ observations to different landslide and terrain types or research objectives
• Approaches to quantifying linkages between hydro-meteorological drivers and landslide activity
• Development and testing of new algorithms and infrastructure, including machine and deep learning approaches, to support weather-related landslide situational awareness and warning

Categorie
WG05 Innovations

Recordings of the WG5 webinar on Soil moisture-based thresholds for the assessment of landslide hazard

The recordings of the WG5 webinar by Luca Ciabatta on “Soil moisture-based thresholds for the assessment of landslide hazard”, held on 20 September 2024, are available on the LandAware YouTube channel:

Categorie
WG05 Innovations

WG5 meeting: Soil moisture-based thresholds for the assessment of landslide hazard

LandAware WG5 meeting 20 September 2024, 3 p.m. CEST

Luca Ciabatta from the Research Institute of Geo-Hydrological Protection (IRPI) of the National Research Council (CNR), Perugia, will present his recent work on

Soil moisture-based thresholds for the assessment of landslide hazard.

Summary: The Civil Protection Service of Umbria Region, central Italy, developed a landslide early warning system based on soil moisture conditions and rainfall over the regional territory. By identifying the degree of saturation before and after the rainfall event (obtained through a hydrological model), it has been observed that most of the activations occurred when the soil reached saturation. In this way, an alert can be issued when the amount of rainfall needed by the soil to reach saturation is observed. The proposed method is able to identify correctly most of the proposed events with a very limited amount of false alarms.

People can join the meeting with the following link:

https://wsl.zoom.us/j/61197474609?pwd=A6zFW8a5ZKA6Mk5cqMqcuw6zzvutC4.1&from=addon

Categorie
News from members

AGU24 session: Landslide Life Cycle: From Hazard Analysis to Risk Assessment

NEWS received from
Ben Mirus (USGS, USA)

Dear colleagues (and apologies for any cross-posting),

We encourage you to submit an abstract to the technical session NH030: “Landslide Life Cycle: From Hazard Analysis to Risk Assessment” for the upcoming AGU Fall Meeting taking place 9-12 December 2024. This session has been running several years in a row and is the only broad session focusing specifically on landslides within the Natural Hazards section. We seek contributions that span the landslide life cycle, from understanding landslide hazards to communicating landslide science to reduce risk.

We have two invited speakers this year with unique and contrasting careers and perspectives on landslide hazards:

Professor Roy Sidle, University of Central Asia

and

Dr. Shelby Ahrendt, U.S. Geological Survey

This year’s meeting will be held both in-person in Washington, D.C., USA for those able to attend, and online with options for interactive participation.  Please share this message with anyone that you might know that would be interested in submitting to this session.  Session information follows, please note abstracts are due by 31 July 2024 at 23:59 Eastern U.S. Daylight Time (EDT). 

Submit your abstract here.

We hope to see you there – either in person or online.  
Warmest wishes,
Conveners
Ben Mirus (U.S. Geological Survey – Geologic Hazards Science Center)
Thom Bogaard (Delft University of Technology)
Luca Piciullo (Norwegian Geotechnical Institute)
Lisa Luna (U.S. Geological Survey – Geologic Hazards Science Center)

———————————

NH030: “Landslide Life Cycle: From Hazard Analysis to Risk Assessment”

Landslide events have adverse and global consequences for human health and safety, infrastructure, economic activity, and natural resources. These hazards can accompany storms, earthquakes, volcanic eruptions, and wildfires, and may shift with climate and land-use change. Landslides can also cause their own cascading consequences like tsunami or river dams. New technologies and enhanced data analysis approaches have accelerated landslide mapping, monitoring, modeling, and outreach efforts, enabling improved characterization and communication of landslide processes and their societal impacts. This session brings together contributions that span the landslide life cycle, from understanding landslide hazards to communicating landslide science to reduce risk. We welcome a wide range of contributions on topics such as characterizing, mapping, and modeling recent or historical landslide events; susceptibility and risk modeling and communication; studies of individual hillslopes or regional scale efforts; rock and soil characterization; quantifying seismic, hydroclimatic, or other triggering mechanisms; and ground-based and remote monitoring.

Categorie
WG08 IoT-based methods and analyses

Recordings of the WG8 workshop #6

The recordings of the TheHuT–WG8 joint workshop on “Real-time Monitoring Using IoT Technology“, held on May 7 2024, are online on the LandAware YouTube Channel.

Categorie
WG05 Innovations

WG5 webinar “Landslide susceptibility and road-network connectivity with Machine Learning”

Recording of the WG5 meeting of 25 June 2024

Topic: Landslide susceptibility and road-network connectivity by means of Machine Learning

Joshua Dimasaka (Cambridge University, Centre for Risk in the Built Environment) presented his work on how landslide susceptibility and the associated road-network connectivity can be calculated with Machine Learning. And he showed a very illustrative application of his methods to the case of Norway.

The recorded presentation is available on our YouTube channel:

Categorie
LandAware network News from members

Landslide session in MedGU24

NEWS received from
Ugur Öztürk (Universtiy of Potsdam, Germany)

Dear colleagues,

this year, there is an exciting conference in Barcelona—the Mediterranean Geosciences Union (MedGU) annual meeting—between 25 and 28 November. It is the largest meeting dedicated to exchanging ideas on addressing critical societal and environmental challenges in the Mediterranean Region from the geoscience perspective.

Among several engaging sessions, we (Tolga Görüm, Olivier Dewitte, Anika Braun. Ugur Öztürk) suggested one dedicated to the landslide theme (Landslides: Processes, Hazard, Vulnerability, and Risk). Among these broad themes, we want to particularly emphasize landslide prediction and early warning. Hence we invite you to submit an abstract to this special session or any other at MedGU24.

Abstract submission deadline is 30th June 2024

Landslide-session-MEDGU-24_Download
Categorie
WG05 Innovations

WG5 online meeting on 25 June 2024

NEWS received from
Manfred Stähli (WSL, Switzerland)

In the next LandAware WG 5 online meeting on 25 June, 2024, 3:00-4:00 pm CEST, Joshua Dimasaka, from the Cambridge University Centre for Risk in the Built Environment, will present his work related to the real-time assessment of the exposure and physical vulnerability dynamics of settlements using Machine Learning.

Further items of the meeting will be:

  1. Pop-ups from the working group members (be prepared to contribute with your info to the group!)
  2. Info about recent and upcoming LandAware events and activities
  3. Outlook WG5

Welcome to join the meeting with the following link:
https://wsl.zoom.us/j/66934801469?pwd=sb9zb3QpV0XySrwb7dZk0gRV43DVS2.1

Categorie
LandAware network News from members

New LEWS article in open discussion

NEWS received from
Ben Mirus (USGS, USA)

We would like to draw your attention to a new NHESS Invited Perspectives, which is now posted online. The paper focuses on lessons learned from our collective experiences with integrating hydrologic information into landslide forecasting models in different parts of the world, as well as ideas for future research needs and opportunities. 

As with all EGUsphere articles, the paper is fully open access and free to read. We hope you will find it interesting and perhaps it can facilitate further discussions within the LandAware community. The preprint is open for discussion through June 24, and we would value your input whether formally or informally. 

Link: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1219/