Population & Infrastructure Risk Exposure
How many people and which assets are exposed to a given hazard, before any event — a baseline for preparedness and planning.
Context
Local decision-makers need up-to-date estimates of exposure to natural hazards: how many children are exposed to recurrent heatwaves, which cities are most prone to cyclones, which airports sit in tsunami-risk zones. The INFORM methodology is the main reference, but its subnational coverage and resolution don’t always fit local needs — so this use case makes the underlying data available with notebooks to compute exposure flexibly, at the resolution and thresholds a user chooses.
Post-disaster Impact Estimation
Who and what fall within the observed extent of an actual disaster, using Copernicus remote-sensing products, in the hours and days after it strikes.
Context
In a response’s first phase, a reliable estimate of the affected zone — from remote sensing, before ground surveys arrive — speeds prioritisation. Products from CEMS, the Disaster Charter and others exist, but local responders often want to go more granular and flexible: their own subdivisions, their own disaggregation, their own extra data. This use case makes CEMS the main source and adds custom post-processing.
Operational Response Prioritisation
Which affected areas to prioritise — combining exposure, impact, Montandon’s disaster history and operational data — and feeding that prioritisation back to the International Charter.
Context
In the first hours and days, National Societies and IFRC face a triage problem: with limited teams, relief items and DREF funds, where do they act first? Exposure (UC1) says who was at risk; impact (UC2) says where it hit — but neither, alone, weighs observed severity against pre-existing vulnerability, the history of disasters and response, and the operational reality of who is already there. This use case synthesises the outputs of the first two into a transparent, adjustable prioritisation.
The output is published as a Montandon STAC collection (response-prioritisation) — one item per ranked area, tied to the event by monty:corr_id, with a derived_from link to the EO response product. A single API call returns the ranked areas with their humanitarian context, ready for the Charter Mapper or a Charter chatbot.