A5011904254- Landslides and related hazards
- Tree Root and Stability Studies
- Cryospheric studies and observations
- Climate change and permafrost
- Anomaly Detection Techniques and Applications
- Geotechnical Engineering and Analysis
- Fire effects on ecosystems
- Mineral Processing and Grinding
- Geological Modeling and Analysis
- Groundwater and Watershed Analysis
- Arctic and Antarctic ice dynamics
- 3D Surveying and Cultural Heritage
- Image Processing and 3D Reconstruction
- Karst Systems and Hydrogeology
- Marine and environmental studies
- Geochemistry and Geologic Mapping
- Robotics and Sensor-Based Localization
Federal Institute for Geosciences and Natural Resources
2021-2025
Abstract. We introduce FACA – Fully Automated Co-Alignment, an open-source software designed to fully automate the workflow for co-aligning point clouds derived from Unmanned Aerial Vehicle (UAV) images using photogrammetry. developed efficiently evaluate fieldwork with Vehicles (UAVs) on landslides and coastal dynamics. The applies any research requiring comparative precise rapid multi-temporal cloud generation UAV imagery. UAVs are essential element in most contemporary applied geosciences...
Deep-seated landslides rockslides and related displacement waves threaten coastal settlements, infrastructure, shipping routes in the Arctic. However, occurrence, dynamics, impact of such under a warming climate are poorly understood owing to scarce observational data. We have investigated two on permafrost coastline Forkastningsfjellet, Svalbard. Along this coastline, which was dormant for at least last 80 years, 175,000 m³ rockslide occurred August 2016, followed by second 750,000...
Well-aligned point cloud time series data generated with Unmanned Aerial Vehicles (UAVs) can be a significant asset to geoscientists.Practitioners benefit from multi-temporal clouds high comparative accuracy, e.g. evaluate landscape changes after landslides and quantify mass wasting.Two approaches are usually applied achieve the accurate alignment of clouds: indirect direct georeferencing.Indirect georeferencing uses well distributed Ground Control Points (GCPs) in study area.While this...
Predicting the likelihood of collapses and landslides on German Baltic Sea coast cliffs requires a wide range geological, hydrological, climate data. Point clouds images from drone surveys constitute significant part data.The predominantly consist Quaternary sediments glacial origin with highly variable properties, often intricately interwoven. The processes that contributed to these sediments' formation, shaping, modification left heterogeneous deposits various glacial-tectonic structures...
Abstract. This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analysis (LSA), it is not limited this issue and applies any other research dealing with supervised spatial binary classification. LSAT PM provides efficient interactive data management supported by handy tools a standardized project framework. The application utilizes...
Abstract A comprehensive sinkhole inventory is crucial for accurately assessing susceptibility. The presented study introduces a semi-automatic approach mapping potential sinkholes through geomorphometric analysis of digital elevation models complemented by statistical analysis. This aims to augment current inventories in quantity and quality. We chose the distinct karst terrain along southwestern edge Harz Mountains Lower Saxony as our focal area. genesis most this area linked subrosion...
The eastern slope of Garmaksla, a flat-topped mountain at the western margin Billefjorden, Svalbard, is affected by mass movements different types. Rotational rock slides, fall and avalanche affecting coastal cliff are shallow surface expressions covering larger instability that bordered to west Balliolbreen Fault. This structural feature part Billefjorden Fault Zone accommodated multi-phase deformation since Devonian time. Based on comprehensive morpho-structural analysis, mapped features...
Coastal areas are dynamic zones where geological, marine, and atmospheric processes interact. The coastal shapes constantly evolve due to both natural factors human activity. Gravitational mass movements, commonly called landslides, prominent indicators of dynamics. With the current climate projections indicating increasing stormy weather extreme water levels, communities face an escalating hazard more frequent severe landslides on steep coastlines. Mecklenburg-Western Pomerania exhibits a...
Geological mapping in dynamic coastal areas is crucial, but traditional methods are laborious and expensive. Employing uncrewed aerial vehicle (UAV) - based for high-resolution imagery, combined with deep learning texture classification segmentation, offers a promising improvement. In the “AI-aided Assessment of Mass Movement Potentials Along Steep Coast Mecklenburg Western Pomerania” project, we explore use geological mapping. We conduct repetitive UAV surveys across...
In the presented study, we investigate possibilities of performing tasks related to landslide susceptibility assessment (LSA) on provided benchmark dataset. The slope unit-based dataset consists aggregated predisposing factors and two label sets. Although initially introduced as a for binary classification tasks, it is also suitable zoning regression analysis in combination with underlying inventory. Zoning ranks units delineate study area zones. analysis, try predict numeric target value...
Abstract. This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analyses (LSA), it is not limited this issue and applies any other research dealing with supervised spatial binary classification. With its standardized project framework, LSAT PM provides efficient interactive data management supported by handy tools. The application...