"We live in a cosmic shooting gallery that's hit by a hundred tons of meteorites every day." — Chris Hadfield
Aesteria is a machine learning project that predicts how suitable any geographic location on Earth is for a human to find and retrieve a meteorite.
Built by Anish, Luke, and Rohit.
How suitable is a location to retrieve a meteorite?
Not all terrain is equally searchable. Climate, temperature extremes, and seismic instability all affect whether a meteorite that lands in a given region will ever be discovered by a human. Aesteria quantifies this suitability at a global scale.
| Source | Description |
|---|---|
| NASA Open Data | Known meteorite landing records with precise geographic coordinates |
| WorldClim | High spatial resolution global climate data (precipitation, temperature) |
| Global Seismic Hazard Map (GEM) | Probabilistic seismic hazard data from national and regional institutions |
