Fire urgency estimator in geosynchronous orbit

Fire Urgency Estimator in Geosynchronous Orbit (FUEGO) is a proposed method for early detection and evaluation of wildfires using a system of drones and satellites in geosynchronous orbit equipped with infrared sensors.[1] Use of drones has been described as a potential problem due to Federal Aviation Administration's policy concerning use of airspace during fires.[2] In 2021, the project received $1.5 million USD from the Gordon and Betty Moore Foundation to develop a preliminary system of infra-red cameras aboard 'spotter' planes[3], to provide a proof of concept.

The concept was published in the journal Remote Sensing.[4] The research is led by Carlton Pennypacker who is an astrophysicist at UC Berkeley.

References

  1. ^ "Fighting Forest Fires Before They Get Big—With Drones". WIRED. 9 June 2015. Retrieved 27 December 2015.
  2. ^ Staff, Tianyi Dong | (6 July 2015). "Berkeley researchers develop satellite, drones system for wildfire detection". The Daily Californian. Retrieved 27 December 2015.
  3. ^ "$1.5 million grant will improve wildfire spotting from the air and space | Research UC Berkeley". vcresearch.berkeley.edu. Retrieved 10 March 2026.
  4. ^ Pennypacker, Carlton R.; Jakubowski, Marek K.; Kelly, Maggi; Lampton, Michael; Schmidt, Christopher; Stephens, Scott; Tripp, Robert (17 October 2013). "FUEGO – Fire Urgency Estimator in Geosynchronous Orbit – A Proposed Early-Warning Fire Detection System". Remote Sensing. 5 (10): 5173–5192. Bibcode:2013RemS....5.5173P. doi:10.3390/rs5105173.
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