Forest fire notification in Central African Republic
On 27/02/2026, a forest fire started in Central African Republic, until 07/03/2026.
AegisWatch Crisis Intelligence Summary
A wildfire has been reported in the Central African Republic, threatening the region's forested areas.
Trajectory: Current weather patterns and wind directions suggest that the fire may spread rapidly, necessitating immediate response measures to contain it and prevent it from reaching populated areas.
Infrastructure Impact: The wildfire poses a significant risk to local infrastructure, including homes, roads, and essential services, potentially leading to evacuations and loss of property.
Event Intelligence Data
- Event
- Forest fire notification in Central African Republic
- Hazard Type
- Wildfire
- Location
- Haute-Kotto, Ködörösêse tî Bêafrîka / République centrafricaine
- Coordinates
- 7.918177, 22.894630
- Risk Score
- 75/100
- Severity
- 1/5
- Status
- active
- Trajectory Prediction
- Current weather patterns and wind directions suggest that the fire may spread rapidly, necessitating immediate response measures to contain it and prevent it from reaching populated areas.
- Infrastructure Impact
- The wildfire poses a significant risk to local infrastructure, including homes, roads, and essential services, potentially leading to evacuations and loss of property.
- Source
- GDACS
- Detected
- 2026-02-27T00:00:00.000Z
- Last Updated
- 2026-03-05T20:02:01.000Z
- Intelligence Provider
- AegisWatch Crisis Intelligence Platform
Geospatial Hazard Visualization
Visual Field IntelGround Truth
No field intel transmitted for this sector yet.
Ground observation sync in progress...
Tactical Warning
This data is provided for situational awareness ONLY.DO NOT USE FOR EMERGENCY EVACUATION OR TACTICAL DECISIONS.
Tactical Escalation Risk
Aegis Intelligence Tool
The atmospheric conditions and proximity to critical transmission lines suggest a 45% increase in operational risk within the next 24 hours.
Intelligence Briefing Locked
Upgrade to PRO to access trajectory modeling and critical infrastructure predictions.