Donald McKeown

REFEREED JOURNAL ARTICLES

van Aardt, J.A.; McKeown, D.; Faulring, J.W.; Raqueno, N.G.; Casterline, M.V.; Renschler, C.; Eguchi, R.; Messinger, D.W.; Krzaczek, R.S.; Cavillia, S.; Antalovich, J.; Philips, N.; Bartlett, B.D.; Salvaggio, C.; Ontiveros, E.M.; Gill, S., Geospatial disaster response during the Haiti earthquake: A case study spanning airborne deployment, data collection, transfer, processing, and dissemination, Photogrammetric Engineering and Remote Sensing, 77, 9, pp. 943-952 (2011)

Kremens, R.L.; Cockburn, J.; Faulring, J.W.; Hammond, P.; McKeown, D.; Morse, D.; Rhody, H.E., Multi-processing as a model for high throughput data acquisition, Cary Press (2005)

CONFERENCE PROCEEDINGS

Sah, S.; van Aardt, J.A.; McKeown, D.; Messinger, D.W., A multi-temporal analysis approach for land cover mapping in support of nuclear incident response, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, SPIE, SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 8390, Baltimore, MD, USA, pp. 1-7, April (2012)

McKay, T.R.; Salvaggio, C.; Faulring, J.W.; Salvaggio, P.S.; McKeown, D.; Garrett, A.J.; Coleman, D.H.; Koffman, L.D., Passive detection of vehicle loading, Proceedings of SPIE, Electronic Imaging 2012, Visual Information Processing and Communication III, 8305, San Francisco, California, United States, February (2012)

Messinger, D.W.; McKeown, D.; Raqueno, N.G.; Cavilia, S.; DeAngelis, C.; Maitra, S.; Sun, W., Production of imagery-derived maps to aid the Japanese earthquake / tsunami relief effort, Imaging Spectrometry XVI, Optics & Photonics, Imaging Spectrometry XVI, 8158, San Diego, California, United States, August (2011)

Faulring, J.W.; McKeown, D.; van Aardt, J.A.; Casterline, M.V.; Bartlett, B.D.; Raqueno, N.G., Supporting Relief Efforts of the 2010 Haitian Earthquake using an Airborne Multi-Modal Remote Sensing Platform, SPIE, SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, Orlando, FL, USA, April (2011)

McKeown, D.; Faulring, J.W.; Krzaczek, R.S.; Cavillia, S.; van Aardt, J.A., Demonstration of delivery of ortho imagery in realtime for local emergency response, SPIE, SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, Orlando, FL, USA, April (2011)

Messinger, D.W.; van Aardt, J.A.; McKeown, D.; Casterline, M.V.; Faulring, J.W.; Raqueno, N.G.; Basener, B.; Velez-Reyes, M., High Resolution and LIDAR Imaging Support to the Haiti Earthquake Relief Effort, Imaging Spectrometry XV, Optics & Photonics, Imaging Spectrometry XV, 7812, San Diego, California, United States, August (2010)

CONFERENCE PRESENTATION (NO PROCEEDINGS)

van Aardt, J.A.; McKeown, D.; Vodacek, A.; Duvvuri, S.; Pillai, A.; Renschler, C.; Faulring, J.W.; Bischoff, H.; Collins, H.; Boyd, D., Information Products Laboratory for Emergency Response: Rapid Turnaround Geospatial Disaster Management Products with Fire and Earthquake Response as Case Studies, • American Society for Photogrammetric Engineering and Remote Sensing (ASPRS), ASPRS 2010 Annual Conference, San Diego, CA, USA, April (2010)

van Aardt, J.A.; Arthur, M.; Carmean, G.; Kremens, R.L.; Faulring, J.W.; McKeown, D., A Sampling Approach to Forest Fuel Load Assessment Across Different Fire Regimes in Eastern Deciduous Forests using Small-footprint Discrete Return Lidar, • American Society for Photogrammetric Engineering and Remote Sensing (ASPRS), ASPRS 2010 Annual Conference, San Diego, CA, USA, April (2010)

Kremens, R.L.; Cockburn, J.; Faulring, J.W.; Hammond, P.; McKeown, D.; Morse, D.; Rhody, H.E.; Richardson, Multi-processing as a model for high throughput data acquisition, Rochester Institute of Technology, Conference on Computing and Information Science, Rochester, New York, United States, January (2005)

McKeown, D.; Cockburn, J.; Faulring, J.W.; Kremens, R.L.; Morse, D.; Rhody, H.E.; Richmond, M., Wildfire airborne sensor program (WASP): A new wildland fire detection and mapping system, US Forest Service, Remote Sensing Applications Conference, Salt Lake City, Utah, United States, April (2004)