Applications
- 13.6.1 Asset-Based Wealth Mapping — Using satellite imagery and machine-learning to infer household and community wealth from observable physical assets — rooftop materials, road access, vehicle density, agricultural holdings.
- 13.6.2 Welfare Targeting Indicators — Deriving objective, near-real-time proxy indicators of household welfare — nightlight intensity, roof material, crop stress, flood exposure — from multispectral and SAR satellite imagery to guide social protection targeting.
- 13.6.3 Subnational Poverty Indices — Constructing district- and village-level poverty indices by fusing satellite-derived proxies — nightlight intensity, built-environment density, crop yield, land cover — with ground survey data.
- 13.6.4 Cash Transfer Programme Targeting — Using multi-source satellite imagery and derived socioeconomic proxies to identify and verify eligible households for national cash transfer programmes at scale.
- 13.6.5 Service Access Inequality Mapping — Quantifying geographic disparities in access to health, education, water and financial services by fusing satellite-derived settlement and infrastructure data with ground truth.