Refugee Settlement Detection and Population Displacement Tracking

Quantify population displacement and track informal settlement growth across conflict zones. Klarety processes Sentinel-2 optical and night-time lights composites to detect new shelter clusters, estimate settlement population scale, and map migration corridor changes month-over-month. NGOs and UN agencies use reports to direct aid allocation and camp planning.

Displacement intelligence for humanitarian response teams

Klarety AI
Klarety AI chat composer interface

Settlement detection reports from satellite composites

Klarety agents process Sentinel-2 and night-lights data and return monthly settlement growth estimates with population scale proxies.

VIIRS Night-lights
Klarety satellite analysis output

Night-lights and optical shelter cluster detection

Agents detect new built-up signatures in Sentinel-2 and corroborate with VIIRS night-lights to estimate settlement population scale.

GIS Output
Klarety AI map annotation overlay

Settlement layers for UN and NGO response GIS

Export new settlement polygons with population scale estimates for UNHCR camp planning and humanitarian GIS coordination tools.

Sentinel-2 and VIIRS night-lights settlement detection

Klarety agents detect new built-up structures using NDVI-loss and SWIR-increase signatures from Sentinel-2, then cross-validate with VIIRS night-time lights to confirm human habitation. Shelter cluster area is converted to population estimate using a density proxy (mean 4.5 people per shelter, 25m2 per shelter). Output is a monthly settlement polygon GeoJSON with population estimate and growth rate per cluster.

Klarety AIMap displacement and settlements in your region
analysis/refugee_settlement_detector.pyAgent code
output/refugee_settlement_report.mdOutput report

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