Informal Settlement Analytics — Cities, Land Administration, Property & Urban Intelligence — Satellize

9.6Subsection · 5 applications

Informal Settlement Analytics

Dense informal housing with corrugated iron roofs seen from above, with narrow pathways between structures — Densely packed urban fabric, seen from above, reveals settlement patterns that satellite analysis transforms into actionable housing policy.

Mapping Informal Settlements from Orbit to Policy

1
Satellite Constellation
Sub-meter optical imagery, repeat daily pass
2
Data Downlink
Raw scenes transmitted to ground stations
3
AI Change Detection
Rooftop counting, density and growth classification
4
Planners & Communities
Interactive maps inform tenure and services

Daily satellite revisits feed AI rooftop analytics, giving city planners current data on informal settlement growth and infrastructure needs.

Other areas in Cities, Land Administration, Property & Urban Intelligence

9.5 · Previous

Municipal Intelligence

Population Intelligence

Subsection 9.6 — Cities, Land Administration, Property & Urban Intelligence

Informal Settlement Analytics

5 applications.

Applications

9.6.1 Slum Mapping & Growth Tracking — Continuously delineating informal settlement boundaries and detecting lateral growth or densification using multispectral and SAR satellite imagery at sub-5m resolution.
9.6.2 Informal Economy Indicators — Using multispectral and very-high-resolution satellite imagery to proxy informal economic activity — market density, rooftop solar adoption, construction churn and night-light intensity — in settlements outside the formal statistical record.
9.6.3 Service Gap Identification — Using multispectral and SAR satellite imagery to locate informal settlements without piped water, grid electricity, paved roads or sanitation infrastructure, at city-wide scale.
9.6.4 In-Situ Upgrading Verification — Using repeat-pass satellite imagery and change detection to independently verify that physical upgrading works in informal settlements are progressing as contracted and funded.
9.6.5 Disaster Vulnerability Mapping — Using multi-modal satellite imagery and elevation data to identify which informal settlements face the greatest exposure to floods, landslides, and seismic hazard.