Sage Lulc Population Mapper

Geospatial AI for land use/land cover change detection correlated with population dynamics using WorldPop COGs, satellite imagery segmentation, and Next.js visualization

Architecture

SAGE Data Lake (1.78B rows)     Processing Layer              Application Layer
+-------------------------+    +----------------------+    +-------------------+
| ERA5 Climate (362M)     |    | Feature Engineering  |    | REST API          |
| WHO Health (290M)       |--->| Model Training/Infer |--->| Real-time Stream  |
| IHME GBD (47M)          |    | Knowledge Graph      |    | Dashboard UI      |
| 268M Vector Embeddings  |    | Agent Orchestration  |    | Alert System      |
| 33M Causal KG Triples   |    | Evaluation Pipeline  |    | Report Generator  |
+-------------------------+    +----------------------+    +-------------------+

Data Sources (SAGE Lake)

Source	Records	Domain	Usage
WHO GHO	190M+	Health	Disease indicators across 194 countries
ERA5 CCD	362M+	Climate	Daily climate reanalysis (temperature, precipitation)
IHME GBD	47M+	Health	Global burden of disease estimates
World Bank WDI	24M+	Economics	Socioeconomic covariates
UNICEF	8.8M+	Child Health	Immunization, nutrition, WASH indicators
OpenDengue	5.7M+	Epidemiology	Dengue case counts across 129 countries
OECD Pharma	19.6M+	Pharmaceutical	Drug consumption, pricing, expenditure
CARD AMR	271K	Genomics	Antimicrobial resistance genomes
WorldPop COGs	200K+	Geospatial	Population density rasters at 100m/1km

Quick Start

# Backend
pip install -r requirements.txt
python -m src.main

# Frontend (if applicable)
cd frontend && npm install && npm run dev

License

MIT License -- Kaushik Sarkar 2025