SHNF COMP 102 RX Prescribed Fire, San Jacinto, Texas
NASA EONET Tracking.
AegisWatch Crisis Intelligence Summary
The SHNF COMP 102 RX Prescribed Fire in San Jacinto, Texas, indicates an ongoing wildfire mitigation effort aimed at reducing fuel loads and minimizing future wildfire risks.
Trajectory: If conditions remain favorable and weather patterns are closely monitored, the prescribed fire is expected to follow a controlled trajectory, minimizing the risk of it spreading beyond designated areas.
Infrastructure Impact: Limited infrastructure impact is anticipated as prescribed burns are managed; however, surrounding areas might see temporary disruptions and air quality issues.
Event Intelligence Data
- Event
- SHNF COMP 102 RX Prescribed Fire, San Jacinto, Texas
- Hazard Type
- Wildfire
- Location
- San Jacinto County, Texas, United States
- Coordinates
- 30.487333, -95.147617
- Risk Score
- 65/100
- Severity
- 3/5
- Status
- active
- Trajectory Prediction
- If conditions remain favorable and weather patterns are closely monitored, the prescribed fire is expected to follow a controlled trajectory, minimizing the risk of it spreading beyond designated areas.
- Infrastructure Impact
- Limited infrastructure impact is anticipated as prescribed burns are managed; however, surrounding areas might see temporary disruptions and air quality issues.
- Source
- NASA EONET
- Detected
- 2026-03-13T09:15:00.000Z
- Last Updated
- 2026-03-13T09:15:00.000Z
- 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.