• DocumentCode
    2692244
  • Title

    NASA Science Serving Society: Improving Capabilities for Fire Characterization to Effect Reduction in Disaster Losses

  • Author

    Ambrosia, Vincent G. ; Hinkley, Everett

  • Author_Institution
    Monterey Bay / NASA-Ames Res. Center, California State Univ., Monterey, CA
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In 2007, the United States experienced one of the most severe fire seasons on record with 110,237 fires (wildfires, prescribed, and management fires) burning 12,899,948 acres of land [1]. The suppression and damage costs of those fires exceeded one-billion dollars (US). Fires have wide ranging implications for ecological composition, climatic impacts, soil stability, economic and personal loss. U.S. wildfire management agencies are tasked with coordinating and fighting these conflagrations from the ground and air, at great risk to those crews and personnel on the front lines. The National Aeronautics and Space Administration (NASA) and the U.S. Department of Agriculture-Forest Service (USFS) have teamed to explore innovative capabilities for observations of fire events, with the goal to improve the temporal resolution and information content of remotely sensed information to effect a more rapid disaster decision process. New technologies, derived from NASA science capabilities, have been developed, demonstrated and are currently being implemented in the national fire management system. In 2007, the partnership demonstrated new airborne thermal and multispectral sensor systems, innovative Unmanned Airborne Vehicle (UAV) platform operations, and a real-time decision support system and integrated data elements to facilitate a rapid fire collaborative decision environment to be used by national managers, Incident Command Centers, and field personnel. These capabilities were demonstrated during the western US fire season in summer 2007, and further integrated into the wildfire management structure during the devastating southern California firestorms of late October, 2007. This paper details the wildfire multi-agency (NASA, USDA-FS, and NIFC) partnership, technology development, demonstration, real-life application, and capabilities infusion plan that occurred in 2007 during major wildfire events in the US. The capabilities for delivering real-time disaster- related info- - rmation, and sharing such, unencumbered, among a distributed community, will and can have a significant impact in reducing the severity of both natural and man-made disasters, thereby reducing the potential for loss of ecosystems, resources, property, life and reducing management and suppression costs.
  • Keywords
    data acquisition; data assimilation; decision support systems; disasters; fires; geophysical techniques; geophysics computing; remote sensing; AD 2007 10; Incident Command Center; NASA science serving society; NIFC; National Aeronautics and Space Administration; U.S.Department of Agriculture-Forest Service; UAV platform operation; US wildfire management agency; USDA-FS; USFS; United States; climatic impact; data acquisition; data assimilation; disaster decision process; ecological composition; economic loss; fire devastating; fire reduction effect; innovative Unmanned Airborne Vehicle; integrated data element; man-made disaster; multispectral sensor systems; natural disaster; personal loss; rapid fire collaborative decision environment; real-time decision support system; remote sensing; soil stability; southern California firestorm; temporal resolution; wild fire characterization; wildfire management structure; wildfire multi-agency; Costs; Disaster management; Fires; NASA; Personnel; Soil; Space technology; Technology management; Thermal management; Unmanned aerial vehicles; AMS-Wildfire; Collaborative Decision Environment (CDE); Fire; Ikhana; WRAP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779800
  • Filename
    4779800