wildfire
🇺🇸United States
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RX CAN BU 22-23 Prescribed Fire, Webster, Louisiana

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Incident Report

NASA EONET Tracking.

AegisWatch Crisis Intelligence Summary

TLDR

The RX CAN BU 22-23 Prescribed Fire in Webster, Louisiana is a controlled burn intended to reduce fuel loads and minimize the risk of larger wildfires.

Risk Score25%
Hazard Typewildfire

Trajectory: No significant trajectory threats are anticipated as the fire is prescribed and managed; however, weather conditions and wind patterns will be closely monitored to prevent any unintended spread.

Infrastructure Impact: Minimal impact is expected on infrastructure as this is a prescribed fire occurring in a controlled environment, aimed at habitat restoration and fire risk mitigation.

Source: NASA EONETProvider: AegisWatchDate:

Event Intelligence Data

Event
RX CAN BU 22-23 Prescribed Fire, Webster, Louisiana
Hazard Type
Wildfire
Location
Webster Parish, Louisiana, United States
Coordinates
32.676988, -93.281531
Risk Score
25/100
Severity
3/5
Status
active
Trajectory Prediction
No significant trajectory threats are anticipated as the fire is prescribed and managed; however, weather conditions and wind patterns will be closely monitored to prevent any unintended spread.
Infrastructure Impact
Minimal impact is expected on infrastructure as this is a prescribed fire occurring in a controlled environment, aimed at habitat restoration and fire risk mitigation.
Source
NASA EONET
Detected
2026-03-02T08:28:00.000Z
Last Updated
2026-03-02T08:28:00.000Z
Intelligence Provider
AegisWatch Crisis Intelligence Platform

Geospatial Hazard Visualization

Visual Field Intel
Ground Truth

No field intel transmitted for this sector yet.

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Tactical Warning

This data is provided for situational awareness ONLY.DO NOT USE FOR EMERGENCY EVACUATION OR TACTICAL DECISIONS.

Tactical Escalation Risk

25%
Status
active
Signal SourceNASA EONET
Temp
17°C
Wind
2.64m/s
Sector Conditions
Clear Sky

Aegis Intelligence Tool

The atmospheric conditions and proximity to critical transmission lines suggest a 45% increase in operational risk within the next 24 hours.

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