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Forest background

Forests Speak.
Vandyam Listens.

Forest Protection

Every rustling leaf, shifting breeze, and sudden heat tells a story. Vandyam’s smart sensors decode these signals—tracking wildfires, air quality, and environmental changes to help protect forests and the future they hold.

Forest monitoring dashboard

Challenges We Address

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Wildfire
30 to 40 billion U.S dollars damage due to Los Angeles wildfire.
6.8 billion USD damage in 2018 worldwide.
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Wildlife Poaching
1-2 trillion USD loss due to illegal logging, fishing and wildlife trade.
Illegal wildlife trading worth 7-23 billion USD per year.
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Damage & theft of forest assets
Camera traps are costly to maintain and replace, offer limited coverage, and need manual effort to review footage.
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Forest Health Monitoring
10% of global greenhouse gas emissions, global warming and weather extremes due to forest degradation.

Our Solutions in Action

Forest Fire Detection & Early Warning

Deploying AI-enhanced cameras, satellites, infrared sensors, and IoT networks enables rapid detection of smoke, heat anomalies, and gas emissions—often before a fire becomes visible—and triggers instant alerts to facilitate early intervention and reduce wildfire damage.

Forest monitoring sensors

Wildlife Movement Tracking & Poaching Prevention

GPS or radio collars continuously transmit animal locations, enabling rangers to monitor movements, detect suspicious inactivity or intrusion in real time, and respond swiftly—resulting in up to 50% reduction in poaching incidents in some protected areas .

Forest monitoring dashboard

Rainfall & Microclimate Monitoring

Dense networks of soil moisture, temperature, humidity, and rainfall sensors measure local microclimatic conditions in real time, supporting ecosystem health assessments, fire-risk modeling, agricultural planning, and water resource management.

Thermal imaging for forest monitoring

Deforestation & Illegal Logging Detection

Machine vision, satellite imagery, drone surveillance, and ground sensors detect tree cover loss and human activity patterns—allowing forest managers to identify illegal logging events, delineate affected areas, and alert authorities for rapid enforcement action.

AI detection system for forests

Forest Border Intrusion Detection

Wireless sensor networks—using motion detectors, acoustic sensors, and camera systems—along forest perimeters detect human movement or breaches, generating immediate alerts to forest patrols and preventing unauthorized entry or encroachment.

Mobile forest monitoring command center