Forest fire notification in Central African Republic
On 25/02/2026, a forest fire started in Central African Republic, until 03/03/2026.
AegisWatch Crisis Intelligence Summary
A wildfire has been reported in a green forest area of the Central African Republic, posing significant environmental and safety concerns.
Trajectory: Current weather patterns and wind directions indicate that the fire could spread rapidly, affecting nearby communities and increasing the risk of further environmental degradation.
Infrastructure Impact: The wildfire threatens local infrastructure, including homes and transportation routes, potentially leading to evacuations and significant economic losses.
Event Intelligence Data
- Event
- Forest fire notification in Central African Republic
- Hazard Type
- Wildfire
- Location
- Nana-Grébizi, Ködörösêse tî Bêafrîka / République centrafricaine
- Coordinates
- 6.691852, 19.200116
- Risk Score
- 72/100
- Severity
- 1/5
- Status
- active
- Trajectory Prediction
- Current weather patterns and wind directions indicate that the fire could spread rapidly, affecting nearby communities and increasing the risk of further environmental degradation.
- Infrastructure Impact
- The wildfire threatens local infrastructure, including homes and transportation routes, potentially leading to evacuations and significant economic losses.
- Source
- GDACS
- Detected
- 2026-02-25T00:00:00.000Z
- Last Updated
- 2026-03-01T12:01:25.000Z
- 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.