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RX Optimus South Prescribed Fire, Stone, Arkansas

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Incident Report

Event tracked by NASA EONET. Category: Wildfires.

AegisWatch Crisis Intelligence Summary

TLDR

The RX Optimus South Prescribed Fire in Stone, Arkansas is a controlled burn intended to manage forest underbrush, but poses risks of unexpected fire spread.

Risk Score45%
Hazard Typewildfire

Trajectory: Current weather patterns and moisture levels indicate a low likelihood of the fire escaping containment, yet continued monitoring is essential to adapt to any changes in wind direction or intensity.

Infrastructure Impact: Minimal expected infrastructure impact as the burn is controlled and planned, but nearby structures could be at risk if conditions change.

Source: NASA EONETProvider: AegisWatchDate:

Event Intelligence Data

Event
RX Optimus South Prescribed Fire, Stone, Arkansas
Hazard Type
Wildfire
Location
Stone County, Arkansas, United States
Coordinates
36.035861, -92.072583
Risk Score
45/100
Severity
3/5
Status
active
Trajectory Prediction
Current weather patterns and moisture levels indicate a low likelihood of the fire escaping containment, yet continued monitoring is essential to adapt to any changes in wind direction or intensity.
Infrastructure Impact
Minimal expected infrastructure impact as the burn is controlled and planned, but nearby structures could be at risk if conditions change.
Source
NASA EONET
Detected
2026-02-24T09:36:00.000Z
Last Updated
2026-02-24T09:36:00.000Z
Intelligence Provider
AegisWatch Crisis Intelligence Platform

Geospatial Hazard Visualization

Visual Field Intel
Ground 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

45%
Status
active
Signal SourceNASA EONET
Temp
13°C
Wind
4.38m/s
Sector Conditions
Partly Cloudy

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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