Tag: 2025

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News from members

LARAM School 2025: Doctoral school on “Landslide Risk Assessment and Mitigation”

LARAM is an International School on “LAndslide Risk Assessment and Mitigation” of the University of Salerno. The School is held annually and is aimed at 40 PhD students and 10 young doctors selected every year from those working in the field of Civil Engineering, Environmental Engineering, Engineering Geology or with a similar Engineering background.

The LARAM School 2025 will be held in Salerno (Italy) from Monday 8 to Friday 19 September in person.

CANDIDATE PARTICIPANTS

The LARAM class will be composed of:

  • 40 selected PhD students
  • Up to 10 young doctors (PhD defended not before 2020)

Participants pay their own travel and accommodation expenses, as well as a registration fee of Euro 300 (PhD students) or 450 (young doctors).

Deadline for PhD applications and young doctor registrations: May 25, 2024

SCHOOL PROGRAMME

The programme of the school will consist of 6-hour daily lectures and tutorials from Monday to Friday (details on the website). On Saturday, September 13, a field trip will be organized.

The programme is structured in the following sessions:

  • S1, Introduction to landslides
  • S2, Landslide risk theory
  • S3, Landslide modelling
  • S4, Landslide risk analysis and zoning
  • S5, Landslide monitoring and mitigation
  • S6, Landslide risk management and risk governance
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LandAware network

EGU25 LandAware get-together in Vienna: Thursday, 1 May 2025

Just like the last years, we would like to take advantage of the fact that some LandAware members will be in Vienna at #EGU25 in April/May… to get together for one evening, to meet and talk in person.

We chose Thursday, 1 May, 2025, because that’s the day the session on landslides early warning systems (NH3.7 The use of monitoring, modelling, and forecasting in Landslide Early Warning Systems) is scheduled, thus we are assuming that if you will attend EGU25, you will most likely be in Vienna on that evening.

The get-together will be an informal dinner with good Austrian beer, self-funded by the participants (unfortunately LandAware doesn’t have any funding to manage), in a restaurant/brewery: Salm Brau.
We suggest we meet there at 7:30 PM.

If you are in Vienna on that day, and you like the idea, we ask you to FILL THIS FORM as we need to know in advance the number of people participating (a reservation is necessary in that place).

Looking forward to seeing you in Vienna!

Categorie
News from members

UNDRR questionnaire on how landslide data is collected in your country

NEWS received from
Cees van Westen (University of Twente, The Netherlands)

As part of the process to strengthen national capabilities in tracking disaster losses and damages, the United Nations Office for Disaster Risk Reduction (UNDRR) and its partners encourage the development of data standards and methodological frameworks. These frameworks will enable national actors to coherently record hazardous events and their impacts. This, in turn, will improve the understanding of disaster impacts and support multiple data applications, such as early warning, early action, and risk reduction efforts.

In this regard, the Faculty of Geoinformation Science and Earth Observation of the University of Twente (UT-ITC) will take the lead in conducting a study aimed at improving the cataloguing and impact recording of landslides. This study will provide valuable insights for national organizations responsible for collecting information on hazardous events. The aim is to develop an efficient and feasible reporting framework that can be used to characterize and evaluate landslide databases coherently and consistently across countries.

Ultimately, the findings will be published in a peer-reviewed journal, offering recommendations to enhance the processes and methods used in recording landslide events and their impacts.

We seek support from landslide experts from different countries and would like to ask you to contribute by filling out this questionnaire.

Thank you for your assistance!
Cees van Westen, Luigi Lombardo, Hakan Tanyas, Ashok Dahal and David Urueña Ramirez

Categorie
News from members

e-ITALICA, an enhanced catalogue of rainfall-induced landslide in Italy

NEWS received from
Maria Teresa Brunetti, Stefano Luigi Gariano, Massimo Melillo, Mauro Rossi, Silvia Peruccacci (CNR, Italy)

The availability of accurate data on landslide occurrence and the rigorous reconstruction of the rainfall conditions that trigger them are essential to improve landslide forecasting, particularly given the growing usage of data-driven landslide prediction models, also based on artificial intelligence.

In this context, we published e-ITALICA, an improved rainfall-induced landslide catalogue, as a result of meticulous data collection and analysis. e-ITALICA includes accurate spatial and temporal information on thousands of rainfall-induced landslides that occurred in Italy between 1996 and 2021 (which were already included in the ITALICA catalogue, previously published in 2023), the triggering rainfall conditions for these landslides, in terms of cumulative event rainfall E (mm) and rainfall duration D (h), and the topographic and land cover information. The triggering conditions were calculated using hourly rainfall measurements from 4000+ rain gauges and applying the CTRL-T software.

e-ITALICA can be accessed and downloaded free of charge from Zenodo: https://doi.org/10.5281/zenodo.14204473

The open-access data descriptor paper is published in Nature Scientific Data: https://doi.org/10.1038/s41597-025-04551-6

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LandAware network

Pre-registration for the LandAware Workshop 2025 is now open!

The next workshop of the LandAware network is scheduled for 17-19 September 2025 in Ljubljana, hosted by the Geological Survey of Slovenia. More info here: https://www.landaware.org/landaware-workshop-2025/

If you would like to pre-register to attend the workshop, please fill in the form below:

PRE-Registration FORM

All pre-registered participants will be invited to make a binding registration between April and May.

See you in Ljubljana!

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LandAware network WG05 Innovations

Recordings of the WG5 webinar “Using Big Data for Postfire Debris Flow Situational Awareness” by Fancis Rengers, USGS

The recordings of the WG5 webinar “Using Big Data for Postfire Debris Flow Situational Awareness” by Francis Rengers (U.S. Geological Survey) , held on 9 January 2025, are available on the LandAware YouTube channel:

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News from members WG05 Innovations

WG5 meeting with a webinar on “Using Big Data for Postfire Debris Flow Situational Awareness”

News received from
Ben Mirus (USGS, USA) and Manfred Stähli (WSL, Switzerland)

On Thursday, 9 January, 2025, 3:00 – 4:00 pm CET, within the next WG5 meeting, Francis Rengers from the U.S. Geological Survey, St. Golden, will present his work on “Using Big Data for Postfire Debris Flow Situational Awareness”

Teaser: In semi-arid regions of the United States rainfall intensity thresholds are used to estimate when postfire debris flows may occur. Prior research has shown that postfire debris flows are highly correlated with short-duration rainfall intensity, and that short duration rainfall thresholds (e.g., 15-minute rainfall intensity) can be estimated based on wildfire and terrain attributes. Consequently, it is possible to determine possible debris flow activity in recent burn areas in the western U.S.A. by tracking rainfall rates using publicly available rainfall data. We have developed a software (FlowAlert) and an accompanying map dashboard that monitors when and where rain gages near burn areas cross rainfall intensity thresholds. The software runs continuously on a Linux server, processing more than 2500 rain gages every two hours.

In addition to this presentation (with Q&A) the WG meeting will include the following items:

  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

Zoom link to join the meeting: https://wsl.zoom.us/j/65437390123?pwd=uoRJFKWwi3PnF8Wo83PSRc9oEoYKvQ.1