BEAM: Extending the European Assets Map methodology

Suggested by: Johannes Scholz, Daniel Hölbling and Manuel Strohmaier (Joanneum Research Life)

Keywords: Risk Assessment, BEAM Methodology, Geospatial Data Generation

Objective:

1. 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.
2. 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.
3. 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