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leekwanele-byte/fiip-africa-land-intelligence

Domaine:

geospatialagriculture

Type de record:

project
Créateur:
lee
Hôte:
Conservation-first land intelligence platform for Africa using satellite data, AI, and mobile data collection (FIIP). Fountains Farm Integrated Investment Program (FIIP) Conservation-First Land Intelligence Platform for Africa Satellite → Data → Field → Community → Value --- Overview Africa does not lack resources — it lacks accessible intelligence to manage them sustainably. The Fountains Farm Integrated Investment Program (FIIP) is a real-world, field-tested system built in Zimbabwe that combines satellite data, machine learning, and mobile tools to transform land into a multi-income, conservation-driven asset. This system integrates: - Gold exploration (reef + alluvial targeting) - Vegetation monitoring and restoration - Soil intelligence and productivity mapping - Tree inventory and controlled clearing - Grass and acacia-based silage systems - Mobile data collection for real-time decision-making All outputs are usable directly in the field via smartphone. --- Real-World Validation (Shangani, Zimbabwe) - 200-hectare farm analysed and digitised - NW–SE structural trend identified (reef orientation) - Multiple high-priority gold zones mapped - Gold recovered from a satellite-predicted zone - Vegetation and biomass systems integrated - Field workers actively using mobile tools --- Why This Matters Across Africa, land is often: - under-measured - under-managed - and historically exploited without local benefit FIIP addresses this by: - Bringing satellite intelligence to ground level - Enabling community participation through mobile tools - Creating multiple aligned income streams - Supporting conservation alongside productivity --- Core Capabilities Gold Prospectivity Mapping - Iron oxide detection (gossans) - Clay alteration mapping - Vegetation stress indicators (NDVI decline) - Structural lineament extraction - Machine learning refinement --- Vegetation & Land Management - NDVI (vegetation health) - Moisture detection (MNDWI) - Vegetation decline tracking - Tree inventory and culling prioritisation --- Soil Intelligence - Organic carbon estimation - So …

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