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Wildfire

Sky N Land offers the first Indian wildfire intelligence solution, including risk assessment, early detection, real-time monitoring, and damage analysis with data from 20+ satellites.

Wildfires

FROM DETECTING THE FIRST BLAZE TO NOTIFYING YOU

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DATA PROCESSING PIPELINE

From raw data to real wildfire intelligence.

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RISK ASSESSMENT

 

 

 

 

 

 

 

 

 

 

 

Fire danger index    
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9-day forecast and mapping of the fire risk in your area.
Weather information
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Including wind speed & direction, temperature, humidity and more.
Lightning strike
•    
Real-time lightning strike data with exact location and time of occurrence.
Vegetation & terrain
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Land cover and fuel maps help analyze the terrain’s condition.
 

 

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EARLY DETECTION

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20+ satellites
•    Ensuring precise 24/7 detection with several updates per hour.
Automatic notifications
•    Get instant email, whatsapp, sms or in-app alerts for any new detections in your monitored areas.
Customer data integration
•    See your own weather stations, cameras, and sensors.
Location & fire size
•    Receive (directly) the coordinates and affected area estimates.
 

 

 

 

REAL-TIME MONITORING

 

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Live fire tracking
•    Near-real time monitoring to track the fire area and development.
Activity feed
•    One overview for monitoring all active fires in your risk areas.
Fire propagation
•    Estimate the possible fire spread based on different information sources.
Incident management
•    Coordinate actions for wildfire management and combat.

 

 

 

DAMAGE ANALYSIS

 

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Fire origin & evolution
•    Detailed analysis from fire start to end.
Burnt area
•    High-resolution mapping of burnt areas and fire severity calculation.
Long-term fire statistics
•    Export historical fire data and analytics.
Fire filtering
•    Analyze events based on automated and manual classifications of type and cause.
 

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1. Aggregation

We ingest data from various satellite data providers and operate an additional satellite ground station (EUMETCast).

2. Harmonization

Data types and formats between data sources are unified which enables common handling of data in future processing steps.

3. Hotspot detection

High temperature sources are detected with multiple different and parallel algorithms.

4. False positive rejection

Hotspots are correlated with environmental data followed by static and dynamic rejection of hotspots.

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