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 the Central African Republic, threatening local ecosystems and communities.
Trajectory: The wildfire is moving rapidly due to dry conditions and strong winds, following a trajectory towards populated areas, necessitating immediate monitoring and firefighting efforts.
Infrastructure Impact: The wildfire poses a significant threat to nearby infrastructure, including roads and residential areas, potentially leading to evacuations and property damage.
Event Intelligence Data
- Event
- Forest fire notification in Central African Republic
- Hazard Type
- Wildfire
- Location
- Haute-Kotto, Ködörösêse tî Bêafrîka / République centrafricaine
- Coordinates
- 7.662772, 23.695402
- Risk Score
- 75/100
- Severity
- 1/5
- Status
- active
- Trajectory Prediction
- The wildfire is moving rapidly due to dry conditions and strong winds, following a trajectory towards populated areas, necessitating immediate monitoring and firefighting efforts.
- Infrastructure Impact
- The wildfire poses a significant threat to nearby infrastructure, including roads and residential areas, potentially leading to evacuations and property damage.
- Source
- GDACS
- Detected
- 2026-02-25T00:00:00.000Z
- Last Updated
- 2026-03-01T00:01:40.000Z
- 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.