Prevent wildfires before they start.
A grid of tree-mounted sensors reads soil moisture, air humidity, and temperature across the forest canopy, so hazardous conditions are visible while there is still time to act — before ignition, not after.
How Simorgh works
Three steps between a tree in the forest and an alert on a ranger's phone.
Sense
Tree-mounted nodes read soil moisture, air humidity, and temperature at the forest floor, and relay it over a LoRa mesh.
Assess
Readings combine with satellite vegetation data to score hazard conditions region by region, before any fire starts.
Alert
Rangers, firefighters, and nearby communities see rising risk early enough to patrol, clear brush, or evacuate.
Built for the people protecting the forest
Founder
Hardware Lead
Software Lead
Field Operations
See the risk map
Public visitors see a regional risk overview. Rangers and firefighters who verify their organization ID see exact node locations, live sensor readings, and history for every node.
Open the mapThe preview below is illustrative; the button opens the live map.
About us
Simorgh is built by a team of engineers and environmental scientists working on wildfire prevention.
Frequently asked questions
How accurate is the risk map?
Readings are combined with satellite vegetation data and updated continuously as nodes report in, giving a region-by-region hazard score rather than a single static number.
Who can see exact sensor locations?
Only verified rangers and firefighters. The public map shows a regional overview so precise node positions stay protected.
Does the site work without JavaScript?
Yes — the core forms and pages are built to keep working on slow connections and older devices, since much of this is used in the field.
Contact us
Questions about the project, the hardware, or partnering with us? Get in touch.