Monitor wildfire spots, deforestation, and ice melting in real-time.
Let's TrackOur project monitors and detects environmental changes such as wildfires, deforestation, and ice melting in real-time using satellite imagery and AI-based analytics.
We integrate machine learning models trained on vast environmental datasets to recognize abnormal patterns and provide early alerts.
By using automated satellite image analysis, we aim to reduce human errors and increase disaster prediction accuracy.
Select a video to see examples of the environmental changes we monitor:
Understanding the causes, impacts, and prevention of wildfires globally.
Wildfires are uncontrolled fires that spread rapidly in vegetation areas. They pose significant threats to lives, properties, and ecosystems. Factors like extreme heat, drought, and human negligence often contribute to the ignition and spread of these fires.
Through accurate predictions and real-time insights, we aim to protect nature and prevent ecological damage.
Tracking and analyzing deforestation patterns worldwide.
Deforestation refers to the large-scale removal of forests, primarily due to human activities like agriculture, logging, and urban expansion. This environmental issue leads to biodiversity loss, climate change, and disruption of water cycles.
Our monitoring system helps track deforestation in real-time, enabling better conservation efforts.
Monitoring the alarming rate of ice melting in polar regions.
Global warming has accelerated the melting of glaciers and polar ice caps at unprecedented rates. This leads to rising sea levels, habitat loss for Arctic species, and disruption of global climate patterns.
Our technology provides precise measurements of ice retreat, helping scientists understand and predict future changes.
Understanding the historical patterns and impacts of wildfires globally.
Wildfires have been a natural part of many ecosystems for millions of years. However, recent decades have seen an increase in frequency and intensity due to climate change and human activities.
Our analysis of historical wildfire data helps identify trends and patterns that can improve future predictions and prevention strategies.
Key findings from our research:
