wildfire
🇮🇳India
Tactical Overlay Active

Forest fire notification in India

Detection System Online
Incident Report

On 02/03/2026, a forest fire started in India, until 07/03/2026.

AegisWatch Crisis Intelligence Summary

TLDR

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

Risk Score85%
Hazard Typewildfire

Trajectory: The wildfire's trajectory shows rapid spread due to dry conditions and wind patterns, indicating a high likelihood of expansion towards populated areas if not contained promptly.

Infrastructure Impact: The wildfire threatens critical infrastructure, including nearby homes, roads, and power lines, potentially leading to evacuations and service interruptions.

Source: GDACSProvider: AegisWatchDate:

Event Intelligence Data

Event
Forest fire notification in India
Hazard Type
Wildfire
Location
Dornala, Prakasam, Andhra Pradesh, 523331, India
Coordinates
15.791179, 79.027002
Risk Score
85/100
Severity
1/5
Status
active
Trajectory Prediction
The wildfire's trajectory shows rapid spread due to dry conditions and wind patterns, indicating a high likelihood of expansion towards populated areas if not contained promptly.
Infrastructure Impact
The wildfire threatens critical infrastructure, including nearby homes, roads, and power lines, potentially leading to evacuations and service interruptions.
Source
GDACS
Detected
2026-03-02T00:00:00.000Z
Last Updated
2026-03-07T20:00:45.000Z
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

85%
Status
active
Signal SourceGDACS
Temp
18°C
Wind
1m/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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