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Wildfire-Severity-Hobart

Geoneon Wildfire Severity Index

Understanding and Predicting Wildfire Severity with AI and High-Resolution Satellite Imagery
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Wildfire Severity Predictions

High-Resolution Wildfire Severity Index for Long-Term Preparedness

Wildfires are a growing threat to communities, ecosystems, and infrastructures worldwide. Understanding the potential severity of a wildfire before it occurs is crucial for effective risk management and disaster preparedness.

Geoneon's Wildfire Severity Index leverages advanced AI algorithms and high-resolution satellite imagery to predict fire severity across landscapes. This product provides detailed layers that show the expected severity if a wildfire were to occur, empowering stakeholders to make informed decisions for resource allocation, mitigation planning, and environmental protection.

Our model considers key parameters including:

  • Vegetation type and density to assess fuel availability.
  • Topography to understand how the landscape influences fire severity.
  • Climate data to factor in long-term precipitation paterns.
Precise
High Accuracy
Our AI-driven models, trained with extensive wildfire data, deliver accurate predictions of fire severity at a granular level, helping you identify high-risk areas with confidence.
Global
Scalable and Global

A scalable dataset with transparent pricing, eliminating geographical limitations and minimising the dependency on traditional field measurements or airborne surveys.
Timely
Quick Turnaround

AI-powered processing not only accelerates the initial mapping process but also allows for fast and consistent updates.
Integration
Seamless Integration

Designed for easy integration into any GIS workflow without the need for complex system changes or specialised training.
TOUCH
Precise HIGH ACCURACY
HIGH ACCURACY
Leveraging AI algorithms, validated through terrestrial and aerial reference data, Geoneon's Vegetation Mapping at 30cm-resolution delivers unparalleled accuracy.
TOUCH
Global SCALABLE AND GLOBAL
SCALABLE AND GLOBAL

A scalable dataset with transparent pricing, eliminating geographical limitations and minimising the dependency on traditional field measurements or airborne surveys.

TOUCH
Timely QUICK TURNAROUND
QUICK TURNAROUND

AI-powered processing not only accelerates the initial mapping process but also allows for fast and consistent updates.

TOUCH
Integration SEAMLESS INTEGRATION
SEAMLESS INTEGRATION

Designed for easy integration into any GIS workflow without the need for complex system changes or specialised training.

Predictive Insights

Empowering Decision-Makers to Act with Confidence

The ability to predict fire severity before it happens is invaluable for governments, emergency planners, and environmental managers. Geoneon's Wildfire Severity Index offers a powerful solution for visualising potential wildfire severity across any landscape. This data helps you prioritise resources and develop targeted mitigation strategies.

This global and high-resolution data, alleviates the necessity for physical site visits and manual or airborne surveys, enhancing the understanding and management of vegetation without geographical constraints. Whether you are managing a small community or a large national park, our high-resolution severity maps provide the insights needed to protect lives, property, and natural resources.
Satellite Imagery
Severity Index
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Wildfire-Severity-Hobart_with-Satellite-1

World Imagery Sources: Esri, DigitalGlobe, GeoEye, i-cubed, USDA FSA, USGS, AEX, Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community

Methodology and Technology

Calibrated with Real-World Fire Data

Our Wildfire Severity predictions are powered by sophisticated AI models that have been calibrated using historical wildfire data, remote sensing inputs, vegetation, topography, and climate data. By integrating these diverse data sources, our models can predict the severity of potential wildfires across various landscapes.

This robust methodology ensures that you receive precise and actionable data, enabling the efficient scanning of large areas to identify and prioritise locations for further assessments and mitigations without the need for extensive initial on-the-ground assessments. 
Dunalley-Severity-dNBR
01delta Normalized Burn Ratio (dNBR)
Dunalley-Severity-Gn
02Geoneon Wildfire Severity Index
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03Prediction Evaluation

In January 2013, bushfires devastated Dunalley, Tasmania, destroying 30% of the town. We compared the dNBR with GeoNeon’s Wildfire Severity Index, and our model demonstrated strong predictive accuracy. These case studies highlight our model's effectiveness in forecasting wildfire severity and its potential to improve long-term preparedness and reduce risks in future events.

Vegetation Monitoring

Continuous Insight Through Time

In the dynamic world of vegetation management, the ability to monitor changes over time is indispensable. Geoneon's Vegetation Mapping provides an unparalleled solution, offering detailed insights into the evolution of both tree and low-lying vegetation across any landscape. By harnessing high-resolution satellite imagery at both 30cm and 10m scales, our technology captures the intricate details of vegetation growth, health, and changes from year to year, offering flexibility in resolution to suit various monitoring needs.

Our solution delivers a detailed, consistent mapping of vegetation changes over time, empowering stakeholders in forestry, agriculture, urban planning, and environmental conservation with the insights needed for informed decision-making.  This efficiency in mapping ensures time and resource conservation, aids strategic planning, risk assessment, and compliance monitoring, all while fostering environmental sustainability, enhancing operational efficiency, and improving safety measures.
Sample-2017_1x1
2017
Sample-2018_1x1
2018
Sample-2019_1x1
2019
Sample-2020_1x1
2020
Sample-2021_1x1
2021
Sample-2022_1x1
2022

This sequence of images, spanning from 2017 to 2022, illustrates the power of Geoneon's Vegetation Mapping in monitoring vegetation changes over time. Each panel captures the annual state of vegetation, showcasing the detailed progression of tree and low vegetation development at 30 cm resolution across six years.

Vegetation-Sample
“It was fantastic to work with the team at Geoneon on this project to delve more deeply into canopy cover across the City of Hobart- we now have the knowledge to be more targeted in our approach to urban greening.”
Photo-Karen-Abey
Karen AbeyActing Director City Life, City of Hobart
Strategic Outcomes

Outcomes from Geoneon Wildfire Severity Index

  • Enhanced Preparedness: Predict wildfire severity to better prepare communities and infrastructure, reducing potential damage and enhancing safety.
  • Targeted Mitigation Efforts: Focus resources on high-risk areas identified by the index, ensuring that mitigation efforts are both effective and efficient.
  • Optimised Resource Allocation: Streamline the deployment of mitigation measures, enabling better planning and resource allocation.
  • Cost Efficiency: Reduce the financial burden of wildfire management by targeting interventions where they are most needed, avoiding unnecessary expenses.
  • Informed Strategic Planning: Utilise detailed severity predictions to guide  long-term planning, policy-making, and land management strategies.
Wildfire Severity Monitoring

Current Data for Informed Decisions

In the ever-changing landscape of wildfire management, relying on outdated models can lead to missed opportunities and increased risks. Geoneon’s Wildfire Severity Index ensures that you have access to the most current and accurate data, reflecting the latest conditions on the ground. By incorporating up-to-date vegetation data and other environmental factors, our model provides fast, reliable updates that are crucial for proactive risk management.

Accurate and timely updates empower stakeholders to make informed decisions when they matter most, whether it is planning, implementing, or monitoring mitigation strategies. In a field where conditions can change rapidly, having a model that evolves with those changes is essential for safeguarding lives, property, and natural resources.
Sample-Image-Kingborough

Source: Airbus, USGS, NGA, NASA, CGlAR, NLS, OS, NMA, Geodatastyrelsen, GSA, GSl and the GIS User Community, Map data @ OpenStreetMap contributors, Microsoft, Facebook, Google, Esri Community Maps contributors, Map layer by Esri, Maxar

The Wildfire Severity Index provides critical insights into the potential exposure of  buildings and communities to wildfire hazard. When used in conjunction with other datasets, this information supports more effective risk assessment and targeted protective measures for at-risk areas.

 

Pricing Overview

Choose Your Resolution

Choose from a range of pricing options to match your project's scope and requirements. Whether you need high-resolution data for critical areas or broader coverage for regional planning, Geoneon offers flexible pricing plans to suit your needs.
  • Standard: 10m resolution mapping, perfect for baseline severity predictions for large areas.
  • High-Res: 50cm resolution mapping offers detailed severity mapping for critical regions.
  • Combined: A tailored solutions that combine both 10m and 50cm resolutions for comprehensive, multi-scale project insights.

Standard

AU$3/km2
Datasets Included
Wildfire Severity Index

Wildfire-Severity-Hobart_Standard-1-Square

Product Description

Provides essential 10 m resolution mapping for broad areas.

Minimum order of 10,000 km2.
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High-Res

AU$300/km2
Datasets Included
Wildfire Severity Index

Wildfire-Severity-Hobart-High-Res-1-Square

Product Description

Delivers detailed 50cm resolution mapping critical for applications in urban and infrastructure settings.

Minimum order of 100 km2.
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Combined

Contact us for pricing
Datasets Included
Wildfire Severity Index

Wildfire-Severity-Hobart-Combined-Square-1

Product Description

Combines 10m and 50cm resolution mapping for versatile urban and rural projects.

Minimum order of 5,000 km2.
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Additional Services

  • Advanced data analysis and reporting tailored to specific client needs. (Contact for pricing)
  • Assistance with integrating Geoneon data into existing systems or workflows. (Contact for pricing)

Notes

  • Bulk discounts may apply for large-area contracts.
  • Custom coverage areas and additional resolutions may be available upon request.
Wildfire-Severity-Hobart

Get a glimpse of the wildfire severity index.

Experience the power of high-resolution wildfire severity mapping to enhance your environmental and infrastructure projects. 

Download a Sample
Frequently Asked Questions

Your Questions, Answered

What is the Wildfire Severity Index?

The Wildfire Severity Index is a tool that predicts how severe a wildfire could be if it were to occur in a specific area. Geoneon's Wildfire Severity Index uses advanced satellites and AI (Artificial Intelligence) to create detailed maps showing the expected severity of wildfires across different landscapes.

What sets Geoneon apart is how we combine cutting-edge satellite technology with intelligent computer algorithms that learn from data. This method allows us to provide accurate, timely predictions over large areas, making it an invaluable resource for emergency planners, environmental managers, and anyone involved in risk assessment and disaster preparedness.
What resolutions are available?

Geoneon offers two main types of wildfire severity mapping: one with a 10-metre (Standard) resolution and another with a 50-centimetre (High-Res) resolution.

  • The 10m Standard option provides a broader view, ideal for assessing large regions and identifying general areas of risk. It is perfect for large-scale projects that require an overall assessment of wildfire severity across extensive landscapes.

  • The 50cm High-Res option offers detailed insights, allowing you to focus on specific areas, such as urban environments or critical infrastructure. This resolution is ideal for projects requiring high precision, like urban planning, infrastructure protection, or localized risk assessments.

Choosing the right resolution depends on your project’s scope. The 50cm High-Res is best for detailed, smaller areas, while the 10m Standard is suited for broader, regional overviews.
Does it integrate into existing GIS workflows?

Yes, Geoneon’s Wildfire Severity Index data integrates seamlessly into your existing GIS workflow. Since our wildfire severity data is provided as a raster—a common format used in GIS systems—integration is straightforward.

Here’s how you can integrate it:

  1. Download the Raster File: After purchasing or accessing Geoneon’s data, you will receive a data package.
  2. Open Your GIS Software: Use any standard GIS software you are already familiar with.
  3. Import the Raster: Within your GIS software, use the "Add Data" or "Import Layer" option to load the Geoneon raster file.
  4. Analyse and Use: With the data now in your GIS system, you can start analysing and incorporating it into your wildfire management projects.
How often is the data updated?

The Wildfire Severity Index can be updated at a maximum frequency of every 10 days for the 10m Standard resolution and daily for the 50cm High-Res resolution. However, it is important to note that each update is priced individually, meaning that the cost covers a single iteration of the data.

If you are interested in frequent updates, we can work with you to determine the best schedule based on your project needs and budget. The frequency of updates may also be influenced by factors such as satellite orbit and environmental conditions, like cloud cover, which can occasionally cause delays in acquiring new imagery.

Please contact us for more details on pricing and to discuss how we can tailor the update schedule to your specific requirements.
Is historical data available?

Yes, Geoneon can provides access to historical wildfire severity data.

For both our 10m Standard and 50cm High-Res mapping, you can access data that goes back to 2015. This allows you to analyse how wildfire risks have evolved over time.

However, please note that the availability of historical data may be limited by factors such as the satellite's operational schedule, environmental conditions (e.g., cloud cover), and targeted areas at the time of data collection. These factors can lead to gaps in the historical data for some regions, but overall, a significant amount of past data is available for analysis.
How can I get a sample?

Yes, you can get a sample of our Wildfire Severity Index data to evaluate its quality and determine if it meets your project needs before purchasing. Simply visit this link to download the sample dataset.
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Ready to revolutionise your approach to wildfire severity mapping?

Click the button below to connect with our sales team today. Start your journey toward smarter, more proactive wildfire risk management now.
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