Early Wildfire Detection and Assessment
As early as 3-5 minutes from ignition
Real-time Wildfire Mapping
Improving Firefighting Capabillities
Software and hardware integration and sensor system design for all platforms, big and small.
FUEGO - Fireball's satellite
Fire Urgency Estimation in Geosynchronous Orbit
FUEGO - Wildfire detection, assessment and mapping in real-time
In a world facing unprecedented wildfires, Fireball’s wildfire detection, mapping, and intelligence system offers an unequalled solution. Using satellite and ground-based sensor data combined with deep learning software, Fireball’s system detects fires as early as three minutes after ignition, allowing for rapid, effective fire suppression and safe, orderly evacuation. Not only does our technology detect fires early, it can also evaluate and map their growth and movement in real-time.
The last decade experienced some of the worst fires in history. The bushfires that occurred over the 2019/20 Australian spring and summer were unprecedented in scale, global in impact, and incurred substantial economic, social, and environmental costs. Climate change is causing more extreme weather events resulting in the increase of fire in Australia and globally in coming years, making early fire detection essential for the protection of human life, wildlife, infrastructure, and essential resources. Three of Fireball’s founders have been firefighters. They have experienced firsthand the mental and emotional impact of battling the blazes and their aftermath. More frequent fires spreading over larger areas create a volatile situation for firefighters and our communities. Repeatedly responding to record-breaking wildfires stretches our firefighting resources to their limits, putting the firefighters and our community at increased risk.
Detect Fires early to put them out fast
At the heart of our technology is an advanced deep machine learning software that fuses data from satellites and ground-based sensors to obtain optimal results from complex and dynamic situations. The software automatically analyses the collected data in real-time, disseminating electronic maps that assist emergency responders with intelligence to support tactical, strategic, and life-saving actions by providing detailed information of fire location, flame size, rates of spread, and spotting. Fireball’s FUEGO intelligence system can detect fires automatically within minutes and evaluate their growth in real-time, allowing for rapid, effective fire suppression.
FUEGO-Ground Where there is Smoke, there is Fire
To expand the coverage and sensitivity provided by aerial and space-based assets, the FUEGO system uses ground-based sensor networks such as ALERTWildfire and HPWREN. These sensors capture images that are processed through machine learning. Detecting the characteristic colours and movements of smoke from early fires allows us to alert fire fighters when the fire is still very small. The extensive sensor network on the ground takes advantage of the fact that the smoke is visible even if the fire is behind a hill.
FUEGO-Space Eyes in the sky - Fires down below
FUEGO-Space is feeding satellite data into the FUEGO-Intelligence system. Geosynchronous satellites look for infrared heat signatures indicative of fires. These geosynchronous satellites continually watch-over large areas of the Earth reporting infrared heat signatures, indicative of fires, as fast as once per minute. Fireball plans to launch it’s own satellites by 2022 (LEO) and 2024 (GEO)
It takes a Community to save a Village
We believe that together we are not powerless in the face of wildfires. Our early detection, assessment, and mapping system allows for rapid, effective fire suppression, empowering our firefighters to protect what we love and that which is important to us. Fireball’s approach is a collaborative one. In California for example, we are part of a consortium led by Prof. Neal Driscoll (UC San Diego) that is implementing a state-of-the-art early wildfire detection system based on the ALERTWildfire and HPWREN ground-based sensor networks, satellite data and FUEGO-Intelligence -- a sophisticated Artificial Intelligence/data fusion system developed by Fireball.
Meet the team
Dr Timothy Ball
(Co-Founder, CTO, Chairman of the Board)
- Tim earned a PhD in Bio-Sciences from Stanford in 1988. Tim was a professor in the Biological Science Center at the Desert Research Institute and also in the Biochemistry Department at the University of Nevada, Reno from 1988 to 2000. He left DRI in 2000 to found Fireball Information Technologies, LLC and Fireball International Services, Corp. sister companies that respectively develop and deploy mapping systems for emergency management and highly productive ortho, topo, and 3-D mapping techniques. His passion is to transform his academic and engineering knowledge into actionable systems for wildfire intelligence.
Christopher C.E. Tylor
(Co-Founder/CEO, Member of the Board)
- Christopher has a background in start-up business development and turn-around management. In over two decades at senior management level in international private and publicly listed companies, Christopher developed strong technical skills and business acumen in management, business development as well as in marketing and sales. Christopher completed his MEn and GCJourn in Munich Germany. After a successful career in business, Christopher followed his passion for Astronomy and returned to his studies, completing an MSc in Astronomy and Astrophysics at Swinburne University of Technology, Melbourne. He is also completing his PhD in Astrophysics at the University of Southern Queensland.
(COO, Member of the Board, Company Secretary)
- Gabrielle has experience managing business relations, special projects and staff development, overseeing daily operations of the company, designing and implementing business strategies, and setting comprehensive goals for performance and growth. Gabrielle earned an MBA, a BSC (Hons/Psychology) and is currently working towards her PhD in organisational psychology.
- The main aim of Gabrielle’s research is to provide a deeper understanding of how micro processes associated with identity, motivation, and emotional intelligence within the context of Academic Entrepreneurship (AE) may explain the extent to which individual decisions and AE behaviour unfold over time. She argues that understanding the processes that drive academics’ engagement in entrepreneurship is key for reaping the long-term social as well as economic benefits from new and often disruptive innovations such as Fireball.International.
(VP of Corporate Development)
- Joining Fireball gives Brian a very special opportunity; to work alongside some of the brightest minds to affect positive social/environmental change. He brings over 20 years of international experience introducing best of breed technologies to emerging markets.
- He has a reputation as an independent thinker and negotiator, who can identify opportunities, build relationships and influence C-Level contacts at key customers and partners around the globe. Brian received his B.A. from the University of British Columbia (Canada) and M.B.A. from Durham University (UK).
Science and Research
Prof. Carlton Pennypacker
- Carl is a researcher at the Lawrence Berkeley National Lab located at the University of California Berkeley, and an Adjunct Professor at the University of Southern Queensland. Carl was instrumental in the development of high-gain, low-noise instrument systems utilized in signal detection in the noise cluttered realm of space. His work led him to the discovery that the expansion of the universe is accelerating. This work led to the Nobel Prize in Physics for his Student Saul Perlmutter. Carl's awards include the 2007 Gruber Prize in Cosmology and the 2015 Breakthrough Prize in Fundamental Physics.
Prof. Brad D. Carter
- Brad is a Professor (Physics), Discipline Coordinator (Physical Sciences) and Director of the Centre for Astrophysics at USQ’s (University of Southern Queensland) Institute for Advanced Engineering and Space Science. His research expertise is in astronomical and space sciences and his teaching experience physics, astronomy and science at undergraduate and postgraduate levels as well as extensive research student supervision.
Technology and Engineering
Dr Ruth Luscombe
(Senior Data Scientist)
- Ruth's background is in operations research, machine learning and statistics. She received her PhD in Mathematics from QUT in 2015. Her doctoral thesis focussed on scheduling algorithms for resources in dynamic and unpredictable environments, such as hospital emergency departments. She has worked across multiple industries including resources, defence, sustainable transport and health care using modelling and analysis to deliver critical insight and decision support.
Dr Marek Jakubowski
(Senior Product Designer)
- Marek studied various techniques of signal processing, remote sensing, and GIS before applying his skills to research wildfires in California’s Sierra Nevada. During his PhD studies at University of California, Berkeley, he used AI algorithms with imagery and LiDAR data to estimate forest fuels—critical for wildfire simulations. After leading the early stages of the FUEGO research that resulted in a patent, he focused on data visualization and UX/UI design by making insights more accessible to non-expert audiences through interactive web and books. At some point in the middle of all of this, Marek also caught a serious bug of passion for rock climbing. He now lives in the Eastern Sierra Nevada of California, where he can more easily access the mountains.
(Cloud Data Scientist)
- Paul is an AWS cloud certified professional and spatial integration expert. He studied a Bachelor of Science majoring in Math and Computer Science at UQ. He has extensive experience in spatial analysis, system integration and AWS cloud solutions. He has contributed to the spatial cloud infrastructure for applications that have gone on to win numerous Australian government and tech based awards. Paul likes mechanical things, and enjoys taking a ‘mind-break’ by operating tractors on his land. What he would really like to do is train the tractor with computer vision so it can mow the grass by itself!
Dr Patrick Sansom
- Patrick is an IT professional with a long history of development and technical delivery in a range of technology startups. His PhD in Computer Science from Glasgow University, Scotland was in the implementation of functional programming languages. He then worked as a researcher and lecturer before moving into the commercial world. He has been involved in range of startup deliveries including interactive TV services, video services, content management and SaaS delivery.
Dr Jan Sobus
(ML Software Engineer)
- Jan is a physicist all-rounder who has a wide range of technical and theoretical skills as well as experience with international projects. He completed his PhD in Europe, followed by a postdoctoral position at the University of Queensland (UQ). While at UQ he worked on the development, construction and simulation of the next generation organic electronic devices – lasers, solar cells, LEDs and transistors – turning them into market-ready solutions. He then transitioned to the commercial environment, using his analytical mindset to deliver solutions in the fields of data science, machine learning and AI development.
Fireball.International Pty Ltd
- Peregian Digital Hub, Unit 4
- 253 David Low Way
- Peregian Beach, QLD, 4573 Australia
- 1240 Fairfield Avenue
- Reno, NV 89509
- United States of America
- 304 Stevens Drive
- West Vancouver, BC
- Canada V7S 1C6