Increasing the Accuracy of Prediction

Traditionally, wildfire prediction largely relies on historical data, satellite imagery, and weather forecasts. While effective, these methods often suffer from limitations in real-time responsiveness and granularity, making it challenging to accurately predict sudden changes in fire conditions.

By continuously monitoring, we can detect early changes in fire intensity such as crossover points. This real-time data enhances predictive models, allowing for quicker, more accurate assessments of fire behavior.

Current Metrics

Extended Metrics

Data Fields

• Historical Data

• Satellite Imagery

• Weather Forecasts

• Topology

• Current Developed Fires

Data Fields

• Carbon Oxides

• Nitrogen Oxides

• Canopy Temperatures

• Forest Humidity

• Pressure

• VOC's

• Methane ppm

• Undeveloped Fire Locations

• Localized Elevation

Optimizing Response and Mitigating Waste

Data provided by sensors is the exact measurement at that place in time to reduce the largely generalized measurements taken from space or weather stations.

1. Enhancing Resource Efficiency

2. Additional Resource Savings

3. Further Protecting Frontline Workers

4. Advancing Research and Policies

Extend resources by enabling targeted deployment, ensuring proper allocation and conservation of valuable resources, thus maximizing efficiency and effectiveness in wildfire management.

Accurate wildfire predictions ensure optimal personnel deployment, conserving financial resources and minimizing risks, while reducing false alarms and operational costs for a more sustainable practice.

Sudden changes in wildfire behavior pose significant risks, including the potential for rapidly shifting fire fronts that can trap or endanger personnel. Predictive modeling capabilities allow for timely alerts and detailed forecasts of fire movements, ensuring that emergency services can proactively adjust their strategies.

Support long-term environmental research and policy development by providing comprehensive data that aids in future predictions, improving firefighting techniques, and developing strategies to mitigate future wildfire risks.

More Data, More Prediction

We can deliver the real-time, accurate data essential for top-tier predictive modeling in the exact location you need. Our state-of-the-art sensors and advanced algorithms provide precise, instant information, empowering you to predict both trajectory and growth of wildfires. With our refined data, you can make informed decisions that protect communities and optimize resource management.

PUTTING POWER IN YOUR HANDS

Greener Forests

Protecting and Preserving Ecosystems with Precision

1. Advanced Detection

Monitor decay using air quality and concentrations indicating declining patterns and abnormalities

2. Minimized Human Impact

Reduce human contamination and disruptions of environments using remote sensing

3. Untainted Results

Strengthen research results and insights of natural process by limiting terrain damage and infliction

Understanding Data Trends

Understanding and tracking environmental trends is crucial for effective forest management and conservation efforts. Accurate trend analysis facilitates observations of key indicators such as ecosystem health, climate patterns, and pollutant concentrations, enabling the identification of ecological challenges. This understanding informs the development of proactive policies aimed at ensuring the long-term sustainability and resilience of our forest ecosystems.

Climate Patterns

Ecosystem Health

Pollutant Levels

Temperature, Humidity, and pressure

Oxygen, Volatile Organic Compounds, Particulate Matter

Carbon dioxide, Nitrous Oxide, Methane, Hydrogen Sulfide