It is becoming more and more important to monitor risk in the context of natural catastrophes. With growing cities and changes in urban developments, risk is changing in complex ways as it is not scaling with population size but depends on changing building stock, resilience measures, and also city structure. Thus, monitoring of exposure and vulnerability indicators is providing the necessary tool to understand the dynamic nature of risk in urban environments. Because of the immense number and variety of buildings, exposure-, and vulnerability-related data, surveying exposure on the building-bybuilding level cannot be compiled by experts only.
We aim at filling this gap by interpreting and visualizing crowd-sourced (OpenStreetMap) and open geographic data. The objective of the Global Dynamic Exposure project is to provide a high-resolution (on the building-by-building level) and dynamic (low-latency) exposure model for the world. It will build upon the Global Exposure Database for the Global Earthquake Model (GED4GEM) and augment it where crowd-sourced and open data exists in high quality. The exposure and vulnerability indicators are derived from geographic data (e. g. building footprint, land use), building properties (e. g. type of building, occupancy), and semantic interpretation (e. g. regional types of architecture, cultural habits).