Suggested by: Johannes Scholz, Daniel Hölbling and Manuel Strohmaier (Joanneum Research Life)
Keywords: Risk Assessment, BEAM Methodology, Geospatial Data Generation
Objective:
- Extend the Basic European Assets Map (BEAM)
methodology, which estimates asset values in €/m², to additional European
countries using publicly available data sources such as OpenStreetMap,
CORINE Land Cover, Urban Atlas, and Eurostat.
- Develop a consistent, Europe-wide dataset to
support improved and comparable assessments of potential damages from
natural hazards, enabling more robust risk analyses at the continental
scale.
- Compare and evaluate the resulting dataset
against a dataset developed by JOANNEUM RESEARCH, and explore enhancements
through the integration of geographically localized building data.
Short Description:
Natural hazards pose
varying levels of risk across Europe, and consistent, spatially resolved asset
data are essential for effective risk assessment. The Basic European Assets Map
(BEAM) provides monetary asset values per unit area (€/m²) and has already been
implemented and validated for Germany (Copernicus Emergency Management 2020).
This thesis aims to generalize and apply the BEAM methodology to other European
countries using harmonized, openly available data sources. The result will be a
comprehensive and standardized dataset for estimating damage potentials across
Europe. To ensure reliability and usability, the new dataset will be compared
to a reference dataset developed by JOANNEUM RESEARCH and further improved by
incorporating detailed, geographically referenced building information. This
work contributes to the foundation for large-scale, comparative risk
assessments in the context of natural hazards.
Start: ASAP
Copernicus Emergency
Management Service Risk and Recovery Mapping 2024: https://mapping.emergency.copernicus.eu/download/EMSN076/EMSN076_Final-Report_v1_20082025.pdf
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