EarthDaily Analytics, which is currently building a constellation of Earth Observation (EO) satellites to image almost all of the planet daily, is buying SkyForest, a cloud-based platform that specializes in wildfire risk assessment and forestry analytics for industry and government.

EarthDaily is planning to start launching ten of these low Earth orbit satellites โ€” which are in the final stage of testing โ€” starting this year. They will be capable of observing the Earth across 22 spectral bands, including visible light, near-infrared, short-wave infrared, and thermal-infrared spectra. The EO information these satellites gather will be analysed using the companyโ€™s AI-driven change detection platform.

โ€œAs wildfires increase in frequency and intensity, the need for precise, real-time risk assessment and forest analytics has never been more critical,โ€ explained Don Osborne, CEO of EarthDaily Analytics. โ€œSkyForest brings industry-leading capabilities in wildfire risk assessment and comprehensive forestry insights, enabling EarthDaily to deliver even more advanced geospatial intelligence to industries that depend on accurate environmental monitoring โ€” such as insurance, utilities, forestry, and government agencies. This acquisition strengthens EarthDailyโ€™s position as a global provider of Earth Observation-driven risk management solutions, ensuring our clients have the best tools available to understand and mitigate both wildfire exposure and broader forest health challenges.โ€

According to Osborne, this acquisition will bolster his companyโ€™s usefulness to its EO clients. โ€œThe integration of SkyForest expands EarthDailyโ€™s ability to deliver high-resolution, real-time insights into both wildfire risk and overall forest health,โ€ he told SpaceQ. โ€œThis is particularly valuable as industries and governments increasingly recognize the far-reaching impacts of wildfire and forest management โ€” affecting not just immediate communities but also critical infrastructure, air quality, insurance risk pools, and biodiversity. By combining SkyForestโ€™s advanced analytics with EarthDailyโ€™s legacy Earth Observation globally, clients will gain access to enhanced monitoring capabilities, enabling them to make more informed decisions, improve sustainability strategies, and proactively mitigate environmental risks.โ€

EarthDaily Analytics.
Credit: EarthDaily Analytics.

EarthDaily is already integrating the SkyForest platform into the services that it already offers EO clients, using space-based imaging from other satellite sources. โ€œThe full potential of this acquisition will be realized with the launch of the EarthDaily Constellation in 2025,โ€ said Osborne. โ€œBy combining EarthDaily imagery and SkyForestโ€™s technology, weโ€™ll enable improved forestry health monitoring, wildfire fuel assessment, and dynamic wildfire risk assessments supporting more effective forest management and wildfire prevention strategies. The combination of SkyForestโ€™s analytics and EarthDailyโ€™s advanced AI-driven platform will create an unparalleled solution for wildfire risk assessment and sustainable forest management.โ€

Osborne added that EarthDailyโ€™s practice of acquiring useful companies will continue into the future, so that the company can continually expand its capabilities to provide the most comprehensive geospatial insights available. โ€œThe successful integration of Descartes Labs and Geosite, and now SkyForest, demonstrates our ability to identify and incorporate transformative technologies that enhance our risk management solutions,โ€ he said. โ€œWhile we are not pursuing acquisitions for the sake of expansion alone, we remain committed to selectively adding best-in-class capabilities that align with our mission โ€” leveraging AI, big data, and cutting-edge Earth Observation technologies to empower clients with actionable intelligence for managing the worldโ€™s most complex environmental challenges.โ€

James Careless is an award-winning satellite communications writer. He has covered the industry since the 1990s.

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