Search Results - "Steger, Stefan"
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Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps
Published in Geomorphology (Amsterdam, Netherlands) (01-06-2016)“…Empirical models are frequently applied to produce landslide susceptibility maps for large areas. Subsequent quantitative validation results are routinely used…”
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Storm characteristics dictate sediment dynamics and geomorphic changes in mountain channels: A case study in the Italian Alps
Published in Geomorphology (Amsterdam, Netherlands) (15-04-2022)“…In mountain environments, the coupling of hillslopes processes with the channel network during extreme events is of great importance for rivers dynamics, as…”
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Areas simultaneously susceptible and (dis-)connected to debris flows in the Dolomites (Italy): regional-scale application of a novel data-driven approach
Published in Journal of maps (31-12-2024)“…ABSTRACTIn mountain regions, the impact of areas on the sediment conveyance can not only be described by their susceptibility to debris flow release, but also…”
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A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2021)“…High-resolution (HR) snow cover maps derived by remotely sensed images are an asset for data assimilation in hydrological models. However, the current…”
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Climate change and human health in Alpine environments: an interdisciplinary impact chain approach understanding today's risks to address tomorrow's challenges
Published in BMJ global health (23-10-2024)“…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…”
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Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques
Published in Remote sensing (Basel, Switzerland) (01-11-2021)“…Geological disasters are responsible for the loss of human lives and for significant economic and financial damage every year. Considering that these disasters…”
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Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage
Published in Geo-spatial information science (03-05-2024)“…Remote sensing, particularly satellite-based, can play a valuable role in monitoring areas prone to geohazards. The high spatial and temporal coverage provided…”
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Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change
Published in Earth's future (01-09-2023)“…At first glance, assessing future landslide‐exposed population appears to be a straightforward task if landslide hazard estimates, climate change, and…”
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Counteracting flawed landslide data in statistically based landslide susceptibility modelling for very large areas: a national-scale assessment for Austria
Published in Landslides (01-11-2021)“…The reliability of input data to be used within statistically based landslide susceptibility models usually determines the quality of the resulting maps. For…”
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The influence of forest cover on landslide occurrence explored with spatio-temporal information
Published in Geomorphology (Amsterdam, Netherlands) (01-08-2017)“…Multi-temporal landslide inventories in widely forested landscapes are scarce and further studies are required to face the challenges of producing reliable…”
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The (f)utility to account for pre-failure topography in data-driven landslide susceptibility modelling
Published in Geomorphology (Amsterdam, Netherlands) (01-04-2020)“…The aim of most data-driven landslide susceptibility assessments is to generate a map that depicts zones that are prone to future landsliding. The underlying…”
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Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects
Published in The Science of the total environment (01-07-2021)“…Data-driven landslide susceptibility models formally integrate spatial landslide information with explanatory environmental variables that describe…”
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Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change
Published in The Science of the total environment (01-12-2022)“…Climate change can alter the frequency and intensity of extreme rainfall across the globe, leading to changes in hazards posed by rainfall-induced landslides…”
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Data‐driven modelling of joint debris flow release susceptibility and connectivity
Published in Earth surface processes and landforms (15-09-2022)“…In mountain basins, sediment supply to the fluvial system occurs mainly through episodic geomorphic processes—such as debris flows and other landslide…”
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Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design
Published in Geomorphology (Amsterdam, Netherlands) (01-06-2023)“…Data-driven landslide susceptibility models (LSM) have been widely used to spatially predict areas likely affected by landslides. Even though such approaches…”
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Corrigendum to “Synthesis of substituted 3-(3-chloro-1H-pyrazol-5-yl) quinoxalin-2(1H)ones” [Tetrahedron 70 (38) (2014) 6763–6768]
Published in Tetrahedron (15-12-2016)Get full text
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Modeling the area of co-seismic landslides via data-driven models: The Kaikōura example
Published in Engineering geology (01-07-2023)“…•We spatially estimate the area of landslides through a data-driven model.•The model is expressed at the Slope-Unit scale.•The model is valid for the…”
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Synthesis of substituted 3-(3-chloro-1H-pyrazol-5-yl)quinoxalin-2(1H)ones
Published in Tetrahedron (23-09-2014)“…Synthetic strategies to gain access to all four isomers of 3-(3-chloro-1H-pyrazol-5-yl)quinoxalin-2(1H)ones with monosubstituted benzo core (i.e., compounds…”
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Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy
Published in The Science of the total environment (20-02-2024)“…Shallow landslides represent potentially damaging processes in mountain areas worldwide. These geomorphic processes are usually caused by an interplay of…”
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The propagation of inventory-based positional errors into statistical landslide susceptibility models
Published in Natural hazards and earth system sciences (16-12-2016)“…There is unanimous agreement that a precise spatial representation of past landslide occurrences is a prerequisite to produce high quality statistical…”
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