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multi-indicator-analysis

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This MVP demonstrates a multi-indicator, high-reliability wildfire detection framework that surpasses conventional approaches. By combining Earth observation with intelligent vector analytics, it opens pathways to operational-scale environmental monitoring.

  • Updated Aug 1, 2025
  • Jupyter Notebook

The MVP provides automated fire risk assessment by extracting wildfire indicators—such as smoke, flame patterns, and thermal anomalies—from imagery, and presenting them in structured natural language analysis.

  • Updated Jul 28, 2025
  • Jupyter Notebook

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