Stefan Steger
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View article: Impact-based early warning of mass movements – A dynamic spatial modelling approach for the Alpine region
Impact-based early warning of mass movements – A dynamic spatial modelling approach for the Alpine region Open
Early warning systems play a crucial role in mitigating the impacts of severe weather events and related hazards. Traditional systems typically focus on meteorological forecasts and often do not account for the potential consequences that …
View article: Optimizing rock glacier activity classification in South Tyrol (northeastern Italy): integrating multisource data with statistical modelling
Optimizing rock glacier activity classification in South Tyrol (northeastern Italy): integrating multisource data with statistical modelling Open
As a consequence of atmospheric warming, high-altitude periglacial and glacial environments exhibit clear signs of cryosphere degradation, and the Alps serve as a natural laboratory for studying the primary effects on permafrost-related fe…
View article: Space-time data-driven modeling of wildfire initiation in the mountainous region of Trentino–South Tyrol, Italy
Space-time data-driven modeling of wildfire initiation in the mountainous region of Trentino–South Tyrol, Italy Open
Wildfires are complex hazards occurring worldwide, leading to substantial economic losses, fatalities, and carbon emissions. The interplay of climate change, land use alterations, and socioeconomic pressures is expected to further increase…
View article: Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping Open
Effectively communicating uncertainties inherent to statistical models is a challenging yet crucial aspect of the modelling process. This is particularly important in applied research, where output is used and interpreted by scientists and…
View article: Functional Regression for Space‐Time Prediction of Precipitation‐Induced Shallow Landslides in South Tyrol, Italy
Functional Regression for Space‐Time Prediction of Precipitation‐Induced Shallow Landslides in South Tyrol, Italy Open
Landslides are geomorphic hazards in mountainous terrains across the globe, driven by a complex interplay of static and dynamic controls. Data‐driven approaches have been employed to assess landslide occurrence at regional scales by analyz…
View article: Pan‐European Landslide Risk Assessment: From Theory to Practice
Pan‐European Landslide Risk Assessment: From Theory to Practice Open
Assessing landslide risk is a fundamental requirement to plan suitable prevention actions. To date, most risk studies focus on individual slopes or catchments. Whereas regional, national or continental scale assessments are hardly availabl…
View article: Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps
Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps Open
Statistical landslide susceptibility modelling is commonly used for identifying areas with an increased likelihood of landslide occurrence, given evidence of historic events and a potentially arbitrary number of explanatory features. Despi…
View article: Comprehensive multi-hazard risk assessment in data-scarce regions. A study focused on Burundi
Comprehensive multi-hazard risk assessment in data-scarce regions. A study focused on Burundi Open
The increased occurrence of multiple cascading and compounding hazards underlines the importance of integrated- and multi-hazard-based assessment approaches for the development of thorough strategies towards disaster resilience. To this pu…
View article: Functional regression for space-time prediction of precipitation-induced shallow landslides in South Tyrol, Italy
Functional regression for space-time prediction of precipitation-induced shallow landslides in South Tyrol, Italy Open
Shallow landslides are geomorphic hazards in mountainous terrains across the globe. Their occurrence can be attributed to the interplay of static and dynamic landslide controls. In previous studies, data-driven approaches have been employe…
View article: Brief communication: Visualizing uncertainties in landslide susceptibility modeling using bivariate mapping
Brief communication: Visualizing uncertainties in landslide susceptibility modeling using bivariate mapping Open
Effectively communicating uncertainties inherent to statistical models is a challenging yet crucial aspect of the modeling process. This is particularly important in applied research, where output is used and interpreted by scientists and …
View article: Climate change and human health in Alpine environments: an interdisciplinary impact chain approach understanding today's risks to address tomorrow's challenges
Climate change and human health in Alpine environments: an interdisciplinary impact chain approach understanding today's risks to address tomorrow's challenges Open
The European Alps, home to a blend of permanent residents and millions of annual tourists, are found to be particularly sensitive to climate change. This article employs the impact chain concept to explore the interplay between climate cha…
View article: A benchmark dataset and workflow for landslide susceptibility zonation
A benchmark dataset and workflow for landslide susceptibility zonation Open
[EN] Landslide susceptibility shows the spatial likelihood of landslide occurrence in a specific geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As such, it is the subject of countless scientific…
View article: Optimizing rock glaciers activity classification in South Tyrol (North-East Italy): integrating multisource data with statistical modelling
Optimizing rock glaciers activity classification in South Tyrol (North-East Italy): integrating multisource data with statistical modelling Open
As a consequence of climate warming, high-altitude periglacial and glacial environments exhibit the clearest signs of cryosphere degradation, and the Alps serve as a natural laboratory for studying the primary effects on permafrost-related…
View article: Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds
Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds Open
View article: Application of beta regression for the prediction of landslide areal density in South Tyrol, Italy 
Application of beta regression for the prediction of landslide areal density in South Tyrol, Italy  Open
The concept of landslide hazard entails evaluating landslide occurrence in space (i.e., where landslides may occur), in time (i.e., when or how often landslides may occur), and their intensity (i.e., how destructive landslides may be). At …
View article: Incorporating climate change projections into operational debris flow hazard mapping: Initial insights from the Toverino River Basin in South Tyrol (Eastern Italian Alps).
Incorporating climate change projections into operational debris flow hazard mapping: Initial insights from the Toverino River Basin in South Tyrol (Eastern Italian Alps). Open
Debris flows represent a typical hazard of Alpine mountainous areas, which can generate serious impacts on natural and socio-economic systems of affected territories. In the recent years, intense precipitation events caused numerous damage…
View article: Compound precipitation and wind extremes in the Eastern Italian Alps: a comparison of observations and reanalyses 
Compound precipitation and wind extremes in the Eastern Italian Alps: a comparison of observations and reanalyses  Open
In recent decades, the Alpine regions have experienced several heavy precipitation events, occasionally accompanied by high wind speeds, causing forest damage and triggering various natural hazards including landslides. These events showed…
View article: Integration of DInSAR, climatic, and morphometric data through data-driven models for regional-scale activity classification of rock glaciers in South Tyrol (Italy)
Integration of DInSAR, climatic, and morphometric data through data-driven models for regional-scale activity classification of rock glaciers in South Tyrol (Italy) Open
High-altitude regions serve as crucial indicators of climate change, with the Alps acting as a natural laboratory for studying glacial and periglacial processes. In situ and remote sensing techniques reveal permafrost degradation, coincidi…
View article: Assessing landslide risk on a Pan-European scale
Assessing landslide risk on a Pan-European scale Open
Assessing landslide risk is a fundamental step in planning prevention and mitigation actions in mountainous landscapes. To date, most landslide risk analyses address this topic at the scale of a slope or catchment. Whenever the scale invol…
View article: Development of a data-driven space-time model to predict precipitation-induced geomorphic impact events at the Alpine Scale
Development of a data-driven space-time model to predict precipitation-induced geomorphic impact events at the Alpine Scale Open
Extreme hydro-meteorological impact events are difficult to predict in space and time as they frequently result from localised, high-intensity convective precipitation events. Societal impacts can occur when extreme precipitation events in…
View article: Areas simultaneously susceptible and (dis-)connected to debris flows in the Dolomites (Italy): regional-scale application of a novel data-driven approach
Areas simultaneously susceptible and (dis-)connected to debris flows in the Dolomites (Italy): regional-scale application of a novel data-driven approach Open
In mountain regions, the impact of areas on the sediment conveyance can not only be described by their susceptibility to debris flow release, but also by their structural connectivity to the rivers. This generates the need to combine susce…
View article: Spatial transferability of the physically based model TRIGRS using parameter ensembles
Spatial transferability of the physically based model TRIGRS using parameter ensembles Open
The development of better, more reliable and more efficient susceptibility assessments for shallow landslides is becoming increasingly important. Physically based models are well‐suited for this, due to their high predictive capability. Ho…
View article: Comprehensive Multi-Hazard Risk Assessment in Data-Scarce Regions. A Study Focused on Burundi
Comprehensive Multi-Hazard Risk Assessment in Data-Scarce Regions. A Study Focused on Burundi Open
View article: Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy
Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy Open
Shallow landslides represent potentially damaging processes in mountain areas worldwide. These geomorphic processes are usually caused by an interplay of predisposing, preparatory, and triggering environmental factors. At regional scales, …
View article: Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy
Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy Open
Shallow landslides represent potentially damaging processes in mountain areas worldwide. These geomorphic processes are usually caused by a combination of predisposing, preparatory, and triggering environmental factors. At regional scales,…
View article: Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change
Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Open
At first glance, assessing future landslide‐exposed population appears to be a straightforward task if landslide hazard estimates, climate change, and population projections are available. However, the intersection of landslide hazard with…
View article: Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage
Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage Open
Remote sensing, particularly satellite-based, can play a valuable role in monitoring areas prone to geohazards. The high spatial and temporal coverage provided by satellite data can be used to reconstruct past events and continuously monit…
View article: Assessment of variability and trends of heavy precipitation in Trentino – South Tyrol (north-eastern Italian Alps) based on rain-gauge records (1956-2020)
Assessment of variability and trends of heavy precipitation in Trentino – South Tyrol (north-eastern Italian Alps) based on rain-gauge records (1956-2020) Open
In recent decades, the Alpine regions have been affected by several heavy precipitation events occasionally associated with storms causing landslides, debris flows, forest damage or flooding with cascading impacts to socio-economic systems…
View article: Sequential impact chains - a tool to explore compound and cascading impacts of weather extremes in the Alpine regions in the framework of the X-RISK-CC project
Sequential impact chains - a tool to explore compound and cascading impacts of weather extremes in the Alpine regions in the framework of the X-RISK-CC project Open
The assessment of risks related to weather and climate extremes in a specific area requires the understanding of the complex cause-effect chains that include all relevant factors and processes contributing to risk. In recent years, the Alp…
View article: Modeling the area of co-seismic landslides via data-driven models: The Kaikōura example
Modeling the area of co-seismic landslides via data-driven models: The Kaikōura example Open
The last three decades have witnessed substantial developments in data-driven models for landslide prediction. However, this improvement has been mostly devoted to models that estimate locations where landslides may occur, i.e., landslide …