wildfire
🇮🇳India
Tactical Overlay Active

Forest fire notification in India, Myanmar

Detection System Online
Incident Report

On 12/03/2026, a forest fire started in India, Myanmar, until 17/03/2026.

AegisWatch Crisis Intelligence Summary

TLDR

A significant wildfire event has been reported in green forest regions of India and Myanmar, posing threats to both natural resources and local communities.

Risk Score75%
Hazard Typewildfire

Trajectory: Current wind patterns and dry conditions suggest the wildfire could rapidly spread towards populated areas, intensifying the urgency for containment efforts.

Infrastructure Impact: The wildfire threatens nearby infrastructure including homes, roads, and critical services, potentially leading to evacuations and long-term disruptions.

Source: GDACSProvider: AegisWatchDate:

Event Intelligence Data

Event
Green forest fire notification in India, Myanmar
Hazard Type
Wildfire
Location
Lawngtlai, Mizoram, 796891, India
Coordinates
22.148268, 92.791646
Risk Score
75/100
Severity
1/5
Status
active
Trajectory Prediction
Current wind patterns and dry conditions suggest the wildfire could rapidly spread towards populated areas, intensifying the urgency for containment efforts.
Infrastructure Impact
The wildfire threatens nearby infrastructure including homes, roads, and critical services, potentially leading to evacuations and long-term disruptions.
Source
GDACS
Detected
2026-03-12T00:00:00.000Z
Last Updated
2026-03-17T12:02:07.000Z
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

75%
Status
active
Signal SourceGDACS
Temp
22°C
Wind
1.3m/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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