Earth observation, vegetation monitoring, early-warning and yield systems for East Africa.
Showing 4 of 4 projects.
Satellite-based crop health monitoring and decision support for farms.
Users define farm areas on an interactive map, analyze crop health using satellite-derived vegetation indices from Google Earth Engine, and receive AI-powered recommendations for yield optimization, irrigation, and sustainable practices. Vegetation indices are computed from public satellite composites; farm boundaries and demo outputs are sample data.
Crop yield and soil moisture monitoring with automated alerts.
Flask prototype combining DEM, rainfall and watershed outputs with yield and soil-moisture views. Alert channels are demonstrated in the repo workflows.
Remote sensing plus ML for maize yield outlooks and food-security risk mapping.
Vegetation-index time series plus agro-climatic features feed statistical and ML yield models, with outlook maps served in a WebGIS dashboard. Repo documents the modelling notebooks and data inputs.
Prototype web GIS for checking structures against aerodrome obstacle limitation surfaces in Kenya.
Personal prototype, not an official KCAA system. Models ICAO Annex 14 Vol I (8th ed.) surfaces — approach, inner approach, transitional, balked-landing, take-off-climb, inner horizontal, conical, outer horizontal — modelled on KCAA advisory circulars AC-AGA005C (June 2024) and AC-AGA032A (Feb 2026). Certificates are demonstration outputs.
Data sources are public inputs only (OpenStreetMap basemap, public aerodrome lists and published ICAO/KCAA surface definitions). Surface geometry follows the ICAO Annex 14 parameters in code and is a demonstration model, not a certified survey.