[OC] Weltweiter Monitor für thermische Anomalien für Militärangriffe, Öl-/Gasförderung, Industrieaktivitäten, Waldbrände, Brände in der Landwirtschaft und vieles mehr
[OC] Weltweiter Monitor für thermische Anomalien für Militärangriffe, Öl-/Gasförderung, Industrieaktivitäten, Waldbrände, Brände in der Landwirtschaft und vieles mehr
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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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.