Abr forest wildfire early warning

A risk model for Semnan's Abr forest that blends fuel conditions, weather and ranger reports to trigger early interventions.

Slide 1

Abr forest landscape showing thermal watchtowers and drone confirmation to compress response times.

Slide 2

Thermal PTZ tower view with alert banner and drone routing control.

Slide 3

Operational map overlaying VIIRS hotspots, crew routes and risk tiers for incident command.

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Environmental intelligence

Abr forest wildfire early warning

A risk model for Semnan's Abr forest that blends fuel conditions, weather and ranger reports to trigger early interventions.

StatusOperational

ProvinceSemnan

DomainEnvironmental intelligence

Executive summary

The Abr forest faces rapid shifts in humidity and wind. Our early-warning stack consolidates fuel moisture, forecast data and ranger observations so Semnan's protection unit can mobilise before ignition becomes a large-scale fire.

Challenges addressed

Volatile microclimates that complicate fire risk estimation.
Unstructured incident notes from patrol teams.
The need for coordinated alerts to provincial crisis management.

Delivery approach

Monitor vegetation and fuel indices through remote sensing.
Ingest station data and local sensors for high-frequency updates.
Configure alert levels delivered via dashboards and SMS.

Delivered outcomes

Risk maps segmented by zone and time horizon.
Daily intelligence briefs for crisis managers.
Standard operating procedures for field deployment.

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