A5058353143- Landslides and related hazards
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Soil erosion and sediment transport
- Soil Geostatistics and Mapping
- Hydrology and Sediment Transport Processes
- Geotechnical Engineering and Analysis
- Hydrology and Watershed Management Studies
- Soil and Unsaturated Flow
- Climate change and permafrost
- Dam Engineering and Safety
- earthquake and tectonic studies
- Yersinia bacterium, plague, ectoparasites research
- Anomaly Detection Techniques and Applications
- Groundwater and Watershed Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Soil Carbon and Nitrogen Dynamics
- Hydrology and Drought Analysis
- Computational Physics and Python Applications
- Seismology and Earthquake Studies
- Methane Hydrates and Related Phenomena
University of Twente
2018-2025
King Abdullah University of Science and Technology
2016-2024
University of Pavia
2021
Citizen (Japan)
2021
ITT Technical Institute
2020
University of Tübingen
2014-2018
University of Palermo
2013-2016
Terra
2012-2015
A new work-flow is proposed to unify the way community shares Logistic Regression results for landslide susceptibility purposes. Although models and methods have been widely used in geomorphology several decades, no standards presenting a consistent adopted; most papers report parameters with different units interpretations, therefore limiting potential meta-analytic applications. We first summarize major differences geomorphological literature then investigate each one proposing current...
Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties, the environment in many areas. Investigators have for long attempted estimate landslide hazard an effort determine where, when (or how frequently), large destructive) landslides expected be area. This information may prove useful design mitigation strategies, reduce risk societal economic losses. In geomorphology literature, most of attempts at predicting occurrence populations by adopting statistical...
Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory, especially in Northern provinces. A number of studies have been recently undertaken to study this process and predict it over space ultimately, broader national effort, limit its negative effects on local communities. We focused Bastam watershed where 9.3% surface currently affected by gullying. Machine learning algorithms are under magnifying glass across geomorphological community for their high...
Soil erosion can present a major threat to agriculture due loss of soil, nutrients, and organic carbon. Therefore, soil modelling is one the steps used plan suitable protection measures detect hotspots. A bibliometric analysis this topic reveal research patterns characteristics that help identify needed enhance conducted in field. detailed analysis, including investigation collaboration networks citation patterns, should be conducted. The updated version Global Applications Erosion Modelling...
For decades, the distinction between statistical models and machine learning ones has been clear. The former are optimized to produce interpretable results, whereas latter seeks maximize predictive performance of task at hand. This is valid for any scientific field method belonging two categories mentioned above. When attempting predict natural hazards, this difference lead researchers make drastic decisions on which aspect prioritize, a difficult choice make. In fact, one would always seek...
Hydro-morphological processes (HMP, any natural phenomenon contained within the spectrum defined between debris flows and flash floods) are globally occurring hazards which pose great threats to our society, leading fatalities economical losses. For this reason, understanding dynamics behind HMPs is needed aid in hazard risk assessment. In work, we take advantage of an explainable deep learning model extract global local interpretations HMP occurrences across whole Chinese territory. We use...
Abstract. Until now, a full numerical description of the spatio-temporal dynamics landslide could be achieved only via physically based models. The part geoscientific community in developing data-driven models has instead focused on predicting where landslides may occur susceptibility Moreover, they have estimate when that belong to early-warning system or rainfall-threshold classes. In this context, few published research works explored joint model structure. Furthermore, third element...
Abstract This study aims to assess gully erosion susceptibility and delineate erosion‐prone areas in Toroud Watershed, Semnan Province, Iran. Two different methods, namely, logistic regression (LR) evidential belief function (EBF), were evaluated, a new ensemble method was proposed using the combination of both methods. We initially created inventory map resources, including early reports, Google Earth images, Global Positioning System‐aided field surveys. subsequently split this information...
Cultural heritage is the foundation upon which global and historical values are based on. It connects us to legacy left by our ancestors identifies who we as part of modern society. Globally specifically in northeastern Romania, landscape where cultural sites were built on constantly evolving due mass wasting processes. Among these processes, landslide gullies can disrupt gravitational equilibrium directly or around sites, threatening their very existence capacity pass them future...
The standard definition of landslide hazard requires the estimation where, when (or how frequently) and large a given event may be. geoscientific community involved in statistical models has addressed component pertaining to be by introducing concept landslide-event magnitude scale. This scale, which depends on planimetric area population landslides, analogy earthquake magnitude, been expressed with single value per event. As result, geographic or spatially-distributed considered at slope...