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Take an in-depth look behind the scenes and read all about the wildfire-solving journey, our company culture and team accomplishments.
Fire Spread 2.0: Smarter Simulations for Better Decisions
Discover Fire Spread 2.0: advanced, customizable wildfire simulations with enhanced flexibility and sharing options, tailored to your unique needs. Fine-tune weather parameters, run multiple scenarios, and collaborate effortlessly with exportable results.
Why Earth Observation is the Future of Fire Detection
Fire detection technology is rapidly evolving. What was once the job of men in watchtowers is now handled by technology solutions. With fires becoming larger and more frequent, its time to explore fire detection technology’s history and current state, and see what can be done to combat future fires – and to see why orbital solutions are the future of fire detection.
A Matter of Scale: How 不良研究所官方’s Wildfire Solution Protects Suzano Forests
Suzano is one of our oldest and closest customers. As the leading sustainable cellulose manufacturer in South America, our orbital wildfire detection helps to protect their managed forests.
Elevating Fire Management with 不良研究所官方鈥檚 Fire Spread: ARAUCO鈥檚 Experience
Our Fire Spread product was tested on the field. This blog explores how our customers ARAUCO from Chile utilize Fire Spread in real-life scenarios to combat wildfires on the ground, and what future enhancements are needed.
Unlocking 不良研究所官方鈥檚 Land Surface Temperature Product: From Urban Heat Islands to Modern Irrigation Management
Our Land Surface Temperature (LST) Product provides data, applicable to many different facets, including irrigation management & water management, silviculture & forestry, and city planning & urban temperature assessment.
Enhancing Fire Response: Introducing Fire Spread Product for Real-Time Wildfire Predictions
This article explores the technology behind 不良研究所官方’s Fire Spread Product, that provides real-time predictions, enabling frontline responders to plan routes and deploy resources effectively.
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