CopernicusLAC Panama Centre

Exposure Theme

Exposure Theme

The exposure services provide detailed spatial information on people, assets, and natural capital that may be affected by hazardous events. One service estimates the economic value of exposed artificial assets and four categories of ecosystem services using dasymetric techniques and country‑level or local-level aggregated economic statistics. Another service uses AI together with multiple open-data layers to assess the population potentially exposed to disasters, drawing on DLR’s WSF Tracker, WSF Imperviousness, and WSF 3D products to capture settlement presence, land sealing, and vertical structure. Together, these services offer high‑resolution exposure mapping that supports disaster management by providing a clear picture of the elements at risk.

The project portfolio includes pre-operational applications, or use cases, of the developed services in selected areas throughout the LAC region for the purpose of demonstrating and testing their capabilities and potential.

 

Use Case 11: Population Distribution

 

Area of application: urban areas in Peru, Ecuador, Chile, Brazil, and Panama

Use Case 11 focuses on the systematic production of geospatial information describing the urban environment, including population density, building height, built-up area expansion and surface sealing. In addition, the applied service allows users to recalculate population distribution on demand by incorporating user-provided density information, enabling flexible adaptation to local scenarios.

 

Use Case 12: Economic Value Mapping

 

Area of application: Dominican Republic and LAC

Use Case 12 focuses on mapping the economic value of territories by quantifying both physical assets and ecosystem services. Two complementary services estimate the economic value of built assets, such as buildings, infrastructure and production systems, and key ecosystem services, including carbon storage and nutrient and sediment retention. Based on open geospatial data, official statistics and reliable economic datasets, the resulting layers can be combined with hazard and vulnerability information to support disaster‑risk and impact assessments.