wildfire
🇮🇳India
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Forest fire notification in India

Detection System Online
Incident Report

On 10/03/2026, a forest fire started in India, until 15/03/2026.

AegisWatch Crisis Intelligence Summary

TLDR

A significant wildfire has been reported in a green forest area of India, posing immediate risks to the environment and local communities.

Risk Score75%
Hazard Typewildfire

Trajectory: The fire appears to be spreading rapidly due to dry conditions and strong winds, necessitating urgent containment measures to prevent further spread and protect nearby settlements.

Infrastructure Impact: The wildfire could potentially damage local infrastructure such as roads, utility poles, and communication lines, hindering emergency response efforts and evacuation.

Source: GDACSProvider: AegisWatchDate:

Event Intelligence Data

Event
Green forest fire notification in India
Hazard Type
Wildfire
Location
CADC, Lawngtlai, Mizoram, India
Coordinates
22.499428, 92.610580
Risk Score
75/100
Severity
1/5
Status
active
Trajectory Prediction
The fire appears to be spreading rapidly due to dry conditions and strong winds, necessitating urgent containment measures to prevent further spread and protect nearby settlements.
Infrastructure Impact
The wildfire could potentially damage local infrastructure such as roads, utility poles, and communication lines, hindering emergency response efforts and evacuation.
Source
GDACS
Detected
2026-03-10T00:00:00.000Z
Last Updated
2026-03-15T12:01:06.000Z
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
1.17m/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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