Vince Ambrosia is a Senior Research Scientist and Adjunct Faculty Member at California State University – Monterey Bay who is affiliated with NASA-Ames Research Center. He is the NASA Applied Science Associate Program Manager for Wildfire at NASA HQ, responsible for management of a portfolio of projects related to wildfire applications and remote sensing.
He was a recipient of the 2009 NASA Outstanding Public Service Medal for efforts focused on emergency wildfire observations with unmanned vehicle systems / sensors in 2006-2009. His research team at Ames received the 2009 Federal Laboratory Consortium for Technology Transfer, Interagency Partnership Award for efforts focused on improving national wildfire observations. He has authored or co-authored over 140 papers, journal articles, and book chapters. He holds a BS in Geography from Carroll University and the MS from the University of Tennessee (1980), and has been at NASA-Ames in various positions since 1980.
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Ambrosia, V., and T. Zajkowski (2014), Selection of Appropriate Class UAS/Sensors to Support Fire Monitoring, Real-Life Experiences in the US, Handbook of Unmanned Aerial Vehicles, edited by K. P. Valavanis and G. J. Vachtsevanos. New York: Springer Verlag; ISBN 978-9048197064.
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Ambrosia, V., et al. (2013), The Ikhana unmanned airborne system (UAS) western states, Geocarto International Journal, 26, 85-101, doi:10.1080/10106049.2010.539302.
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Ambrosia, V., and M. Hutt (2011), K. Lulla.. UAS for Remote Sensing, UAS for Remote Sensing. Geocarto International Journal, 26, 69-70, doi:10.1080/10106049.2011.553507.
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Ambrosia, V., et al. (2011), The Ikhana UAS Western States Fire Imaging Missions: From Concept to Reality (2006-2010), Geocarto International Journal, 26, 85-101.
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Ambrosia, V., et al. (2009), Lessons Learned: Experiences in UAS Sensor Operations Supporting Disaster Scenarios (Wildfires) in the United States. Proceedings of 33rd International Symposium on, Remote Sensing of Environment, Stresa, 1-4.
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Ambrosia, V. (2009), NASA's Airborne Fire Monitoring Efforts, 2007-2008 UAS Experiences. Proceedings of the Aerial Firefighting Conference, Feb., Anaheim, 19-20.
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Ambrosia, V., et al. (2003), Demonstrating UAV-acquired real-time thermal data over fires, Photogrammetric Engineering and Remote Sensing, 69, 391-402.
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Reynolds, K.W., et al. (2015), Repurposing Surplus Unmanned Aircraft Systems Into UAS Platforms For Science Missions, Auvsi.
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Hinkley, E., et al. (2014), Unmanned Aircraft Systems in Environmental Monitoring Applications, Chap. 8, in Autonomous Technologies: Applications that Matter, edited by W. Messner. Warrendale, PA: SAE International, 138-156.
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Schroeder, W., et al. (2014), Integrated Active Fire Retrievals and Biomass Burning Emissions Using Complementary Near-Coincident Ground, Airborne, and Spaceborne Sensor data, Remote Sensing of Environment, 140, 719-730.
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Peterson, D., et al. (2013), A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 Algorithm development and initial assessment, Remote Sensing of Environment, 129, 262-279, doi:10.1016/j.rse.2012.10.036.
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Watts, A., et al. (2012), Unmanned Aircraft Systems in Remote Sensing and Scientific Research, Classification and Considerations of Use. Remote Sensing, 4, 1671-1692.
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Hinkley, E., et al. (2009), NASA Partners with Forest Service on Fire Mission, Technology Innovation, 15, 28-30.
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Zhou, G., et al. (2009), Guest Editorial: Forward to the Special Issue on Unmanned Airborne Vehicle (UAV) Sensing Systems for Earth Observations, IEEE Trans. Geosci. Remote Sens., 47, 687-689.
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Brass, J.A., et al. (1996), Consequences of fire on aquatic nitrate and phosphate dynamics in Yellowstone National Park, International Association of Wildland Fire (IAWF)., 53-57.
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Richardson, L.L., et al. (1994), The Detection of Algal Photosynthetic Accessory Pigments Using Airborne Visible-Infrared Imaging Spectromter (AVIRIS) Spectral Data, Journal of Marine Technology Society, 28.3, 10-21.
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Cofer, W.R., et al. (1989), Trace Gas Emissions from Chaparral and Boreal Forest Fires, J. Geophys. Res., 94, 2255.