IOF Technology Framework - One Amazon

Project Overview

The Internet of Forests (IoF) is a comprehensive geospatial data framework designed to monitor, report, and verify (MRV) environmental conditions across forest ecosystems. The project integrates multiple satellite data sources with blockchain-based provenance for EUDR compliance and carbon credit verification.

Working with One Amazon Foundation and AECOM, I developed the complete data ingestion pipeline architecture, processing 200+ geospatial layers from multiple sources and standardizing outputs to a hectare-grid model with uncertainty quantification.

Key Metrics

Technical Approach

Data Integration Pipeline

• WHISP (FAO/OpenForis) integration for 200+ geospatial variables via Google Earth Engine
• CHIRPS precipitation data processing with zonal statistics calculation
• WaPOR evapotranspiration and water productivity analysis
• ESRI Land Cover time series for change detection (2017-2024)
• Landsat NDVI deforestation detection with structural break analysis

KPI Framework

• Forest & Land Cover: 9 indicators (extent, loss rate, fragmentation)
• Pastures & Agriculture: 5 indicators (expansion, interface analysis)
• Fire & Temperature: 6 indicators (hotspots, burned area, LST)
• Water Resources: 5 indicators (precipitation, drought index)
• Soil & Carbon: 3 indicators (SOC, biomass, total stock)
• Biodiversity: Intactness index calculations

Blockchain Integration

Implemented provenance-by-design architecture using IPFS for storage and Ethereum smart contracts for immutable proof anchoring, ensuring EUDR compliance and carbon credit integrity.

Technologies Used

Deliverables

• Automated data ingestion pipelines for 5 satellite data sources
• Standardized hectare-grid outputs with uncertainty quantification
• KPI calculation modules for 29 environmental indicators
• Technical documentation and architecture specifications
• Smart contract design for data provenance anchoring