Categoria: WG05 Innovations

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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

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:

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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
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
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
WG05 Innovations

WG5 – Recorded presentation on Machine-Learning based landslide hazard mapping

NEWS received from
Manfred Stähli (WSL, Switzerland)

In the meeting of WG5 held on 14 June, 2023, Ann-Kathrin Edrich from RWTH Aachen University presented her work entitled “Time-dependent shallow landslide hazard mapping using an event-based machine learning approach“

The recorded presentation is now available: https://youtu.be/rTFglFOLXiw

The next WG5 meeting is planned for September 2023.

Categorie
News from members WG05 Innovations

WG5 meeting on the role of wind in Hurricane prone regions for landslide early warning

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

On February 3, 2023, a meeting of LandAware WG 5 “Innovations” addressed the role of wind speed and direction for landslide occurrence in Hurricane prone regions.

Guest speaker, Yuri Gorokhovich (Lehman College, City University of New York) illustrated how we are getting closer to predicting landslides in Hurricane prone regions in real-time using wind information.

The recorded presentation is available in the LandAware youtube channel

The next WG 5 meeting – with a completely different topic – will take place in May/June 2023.

Manfred Stähli & Ben Mirus

Categorie
WG05 Innovations

Two presentations on the use of in-situ soil wetness data for LEWS

NEWS received from
Manfred Stähli (WSL, Switzerland)

Last Wednesday, 9 February, 2022, LandAware WG 5 “Innovations” discussed the added value of in-situ soil wetness monitoring for landslide early warning systems.

The two input presentations by Annette Patton, University of Oregon, and Adrian Wicki, Swiss Federal Research Institute WSL, have been recorded and are now available at the LandAware YouTube channel:

Welcome to have a look at it!