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    1. Due_Patient_2650 on

      Hi! I built a dashboard to follow thermal anomalies reported by the NASA FIRMS VIIRS near-real-time satellite data.

      Thermal anomalies can be:

      * Major military strikes: „You could see exactly where the bunker busters were being dropped in Iran months ago from FIRMS data within ~15-20min of the strikes.“
      * Industrial activity: Oil/gas flares, steel production, etc. etc. Many industrial processes emit heat.
      * Wildfires, agricultural fires (which explains most of the dots in the Sahel area I guess), waste fires, and so

      How it works:

      * Satellite data captures thermal anomalies, i.e. areas significantly hotter than surroundings at time of overpass. I filter for data points greater than 1 MW fire radiative power. Refetching every 5 minutes.
      * Data source: NASA FIRMS VIIRS NRT data. It’s in public domain, it can be accessed after obtaining your API key. Free to use with rate limits
      * Tools: Next.js

      There’s a long roadmap ahead of course to integrate OSINT feeds, timeline-based anomaly detection, point news to locations, add details on industrial/agricultural zones, etc. etc.

      Caveats:

      * Not all military strikes can be captured by this – it is related to heat emitted and the satellite overpass time.
      * There is no straightforward way to tie each data point to a root cause – maybe adding additional context on the map will help with that.

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