Humanitarian coordinators operating across large or dispersed refugee settlements routinely work blind. Ground surveys are slow, expensive and dangerous; the result is that clinics, water points, latrines and schools are plotted on maps that are months out of date before the ink dries. Service gaps persist not because resources are absent but because no one can see, in near-real time, which parts of a settlement fall outside a catchment radius.
A small constellation of multispectral microsatellites, combined with SAR passes for cloud-persistent coverage, changes that calculus entirely. Optical imagery at 3–5 m resolution resolves individual structures; change-detection algorithms flag new shelters, demolished latrines or relocated health posts within days of the event. Overlaying known facility coordinates against population-density grids derived from the same imagery produces a continuous service-coverage surface — showing, in metres, how far each household sits from the nearest clean water or primary health point.
The operational payoff is concrete: cluster leads can redirect mobile health units, WASH teams can prioritise borehole siting, and protection actors can identify areas with no visible service footprint — which correlate strongly with vulnerability. A sovereign nation hosting a major refugee population gains something further: an independent, unimpeachable evidence base for negotiations with donors, an audit trail for its own accountability commitments, and the ability to act without waiting for a UN agency to commission and release a commercial imagery task.