Tag: news from members

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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

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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.

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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/

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LandAware network News from members

New article on regional early warning for slushflows

News received from
Monica Sund (NVE, Norway)

A new article entitled “A regional early warning for slushflow hazard” was recently published in the Natural Hazards and Earth System Sciences Journal.

Slushflows are rapid mass movements of water-saturated snow. They release in gently sloping locations (<30°) and are hence not restricted to steep slopes. Slushflows are observed worldwide in areas with seasonal snow cover and pose a significant natural hazard in Norway. Hazard prediction and early warning are therefore crucial to prevent casualties and damage to infrastructure.

A regional early warning for slushflow hazard was established in Norway in 2013–2014 as the first of its kind in the world. It has been operational since then. Four main variables are central in the methodology used: ground conditions, snow properties, air temperature, and water supply to snow. Gridded forecasting model simulations in the decision-making tool Varsom Xgeo, real-time data from automatic stations, and field observations from the field are assessed. Based on data from historical slushflows, a water supply–snow depth by snow type ratio has been developed as an assessment tool. This approach can be implemented in other areas with slushflow hazard where the necessary input data are available.

Reference: Sund, M., Grønsten, H. A., and Seljesæter, S. Å.: A regional early warning for slushflow hazard, Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, 2024.

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LandAware network WG07 Operational LEWS

New webinar by NASA and Pacific Disaster Center on Landslide Hazard Awareness

The webinar “Landslide Hazard Awareness – NASA and Pacific Disaster Center cooperation to support decision-making” is scheduled for April 11, 2024 in the following time slots:

1:00 p.m-2:30 p.m. (EST)
11:00 a.m. 12:30 p.m. (Centro América)
7:00 p.m.-8:30 p.m. (CEST)

To join the webinar use the following link

Link

Key objectives:
Present Research Findings and showcase the partnership between NASA and the Pacific Disaster Center (PDC) in leveraging advanced technologies and data to improve landslide hazard assessment and decision-making processes. Introduce participants to the various tools, platforms, and resources developed through the collaboration between NASA and the PDC, such as landslide risk maps, and decision support tools.

Expected outcomes:
At the end of the webinar, it is expected that participants will have gained a better understanding of the actions and strategies implemented by the organizations involved in the region and that concrete opportunities for future collaboration will have been identified. In addition, it seeks to foster a renewed commitment to risk reduction and resilience in Central America.

Expected audience:
The webinar is open to all LandAware associates in particular those from the LatinAmerica region or working with landslide early warning systems in the region. The webinar is aimed in particular at the network on landslides in Central America made up of experts from official institutions in Central American countries, such as INSIVUMEH of Guatemala, INETER of Nicaragua, SGR of Costa Rica, SINAPROC of Panama, COPECO of Honduras, and MARN of El Salvador.

Next steps – After the webinar:
A monitoring process will be carried out that will include preparing a report with the conclusions and recommendations that emerged during the event. In addition, the possibilities of establishing working groups or joint projects will be explored to advance risk reduction in the region.

Organizers:
Ricardo Quiroga: NASA Disasters Coordinator
Graziella Devoli: LandAware EC member/Norwegian Water Resources and Energy Directorate (NVE)

Presenters:
Thomas Stanley LinkedIn
Greg Hampe LinkedIn
Robert Emberson LinkedIn

Duration: 90 minutes

Agenda:

  1. Introduction. 10 min. Robert Emberson and Graziella Devoli
  2. LHASA Model features and evolution. 15 min. Thomas Stanley
  3. PDC Disaster Aware. 45 min. Greg Hampe
  4. Q&A. 20 min
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News from members WG04 eLearning

A new addition to the “LEWS fact sheets” project: Alerta Rio

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

The “LEWS fact sheets” is an ongoing project of the eLearning Working Group, aiming to highlight, in a single page, the main characteristics of operational landslide early warning systems. Go to the dedicated web page (https://www.landaware.org/lews-fact-sheets/) to see the fact sheets produced and published so far.

The latest fact sheet produced and uploaded deals with “Alerta Rio” the municipal system operating in Rio de Janeiro (Brazil), which has been operational since 1996. Enjoy learning how it works.

Note: Are you a LEWS manager wanting your system to gain visibility by means of “our” fact sheets? Are you a LandAware member wanting to help us in creating new fact sheets? Do not hesitate to contact Michele Calvello or Anne Felsberg.


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News from members

New article on LEWS and new special issue on landslide research

NEWS received from
Davide Tiranti (Regional Agency for Environmental
Protection of Piemonte, Italy)

A new article entitled “Climate Change Impacts on Shallow Landslide Events and on the Performance of the Regional Shallow Landslide Early Warning System of Piemonte (Northwestern Italy)” was recently published in the GeoHazards journal.

Shallow landslides are responsible for more than 50% of causalities due to landslides in northwestern Italy in the last century. The aim of the research study presented here is focused on understanding if and how climate change influences the occurrence and behavior of this landslide type. A total of 120 widespread shallow landslide events have been analyzed from 1960 to 2019, taking into account the spatial and time distribution in association with related rainfall historical data elaborated by the Optimal Interpolation (OI) model. Results underline that shallow landslide events’ number (aggregated per five-year intervals) is characterized by a weak trend consisting of a slight increase in the Alps and a more pronounced decrease in the hilly and Apennines environments. In addition, the trend of the annual accumulated rainfall average shows a weak drop in the winter season of about 9 mm in ten years. Moreover, the rainy days have generally decreased over the hills and Apennines, while in the Alps, only in the summer season, with a decreasing rate of about 1.5 days every ten years. The rainfall trends are in accordance with those of shallow landslide events, pointing out the close and direct dependence of the shallow landslide events on the rainfall regime variations. The results obtained were also used to validate the robustness of the performance of the Regional Shallow Landslide Early Warning System adopted in Piemonte over the investigated period, confirming the effectiveness of the trigger thresholds used for the entire historical series and for different geographical areas.

Reference: Tiranti D., Ronchi C. (2023) Climate Change Impacts on Shallow Landslide Events and on the Performance of the Regional Shallow Landslide Early Warning System of Piemonte (Northwestern Italy). GeoHazards 2023, 4(4), 475-496;
https://doi.org/10.3390/geohazards4040027

A new Special Issue entitled “Landslide Research: State of the Art and Innovations” in the GeoHazards journal is currently open for contributions. The Special Issue is guest-edited by Davide Tiranti.
https://www.mdpi.com/journal/geohazards/special_issues/U728W8F9ZX
The purpose of this Special Issue is to collect and group together quality scientific papers on these research fields and derived practical/operational applications.
The topics related to the Special Issue therefore concern the innovative methodologies to achieve landslides identification, classification, characterization and hazard/risk evaluation through geomorphological field surveys and studies, remote sensing applications, GIS data mapping, processing and representation, the analysis of predisposing and triggering factors, landslide early warning systems implementation and the impact of current and future climate change scenarios on the evolution of these
phenomena.

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News from members WG08 IoT-based methods and analyses

Lecture: “A fully operational IoT-based real-time slope stability analysis for unsaturated slope”

NEWS received from
Luca Piciullo (NGI, Norway)

The next International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE) – TC220 Field Monitoring in Geomechanics series of international lectures will take place on Friday 26th of January 2024 at 11:00 CET. It will be given by Dr. Luca Piciullo, with a lecture on “A fully operational IoT-based real-time slope stability analysis for an unsaturated slope in Norway”. This is the fifth in this very successful series of lectures.

The lecture will be introduced by Dr. Neelima Satyam.

To join the lecture, please use the following link: https://lnkd.in/g8Cn_W2D or scan the QR code.

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LandAware network News from members

EGU24 session on LEWS Call-for-abstracts

NEWS received from
Luca Piciullo (NGI, Norway)

The call-for-abstracts of EGU General Assembly 2024 is open!
#EGU24 will be held in Vienna, Austria, and online on 14-19 April 2024.
Don’t miss the chance to submit an abstract to our session entitled Towards innovative Landslide monitoring, modelling, and Early Warning Systems!

Contributions addressing the following topics are welcome:
– 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

The abstract submission deadline is 10 January 2024, 13:00 CET.

More info at: https://meetingorganizer.copernicus.org/EGU24/session/48551

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