PyroScan is an AI-driven wildfire risk mapping system that fuses satellite imagery, thermal data, vegetation indices, terrain, weather, and human proximity to predict forest fire risk. It processes geospatial data into tiled zones and generates color-coded maps (green to red) for proactive monitoring, planning, and early warning.
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Refactor tile value calculation and predictor handling
2798ccaView on GitHubRefactor load_models and add refresh_models function
9df8566View on GitHubRefactor fire risk prediction handler for model fallback
e9de09dView on GitHub