Prof. Craig A. Coburn Profile

Prof. Craig A. Coburn

Professor at Univ of Lethbridge

SPIE Involvement:

Editorial Board Member: Journal of Applied Remote Sensing | Author

Publications (8)

Proceedings Article | 7 September 2018 Presentation + Paper

Directional reflectance studies in support of the Radiometric Calibration Test Site (RadCaTS) at Railroad Valley

Jeffrey Czapla-Myers, Craig Coburn, Kurtis Thome, Brian Wenny, Nikolaus Anderson

Proceedings Volume 10764, 107640Z (2018) https://doi.org/10.1117/12.2320756

KEYWORDS: Reflectivity, MODIS, Calibration, Sensors, Cameras, Satellites, Earth observing sensors, Data corrections

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SPIE Journal Paper | 1 March 2018 Open Access

Special Section Guest Editorial: Improved Intercalibration of Earth Observation Data

Craig Coburn, Aaron Gerace

JARS, Vol. 12, Issue 01, 012001, (March 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.012001

KEYWORDS: Calibration, Sensors, Earth's atmosphere, Atmospheric sensing, Atmospheric modeling, Data modeling, Ecosystems, Sensing systems, Sensor calibration, Satellites

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SPIE Journal Paper | 28 September 2017

Temporal dynamics of sand dune bidirectional reflectance characteristics for absolute radiometric calibration of optical remote sensing data

Craig Coburn, Gordon S. Logie

JARS, Vol. 12, Issue 01, 012006, (September 2017) https://doi.org/10.1117/12.10.1117/1.JRS.12.012006

KEYWORDS: Reflectivity, Bidirectional reflectance transmission function, Calibration, Data modeling, Photonic integrated circuits, Sensors, Spectroscopy, Backscatter, MODIS, Remote sensing

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SPIE Journal Paper | 18 September 2017 Open Access

Overview of the 2015 Algodones Sand Dunes field campaign to support sensor intercalibration

Joel McCorkel, Charles Bachmann, Craig Coburn, Aaron Gerace, Larry Leigh, Jeffrey Czapla-Myers, Dennis Helder, Bruce Cook

JARS, Vol. 12, Issue 01, 012003, (September 2017) https://doi.org/10.1117/12.10.1117/1.JRS.12.012003

KEYWORDS: Bidirectional reflectance transmission function, Earth observing sensors, Landsat, Zoom lenses, Sensors, Calibration, Reflectivity, Spectrometers, LIDAR, Data modeling

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Proceedings Article | 19 September 2016 Presentation + Paper

Temporal dynamics of sand dune bidirectional reflectance characteristics for absolute radiometric calibration of optical remote sensing data

Craig Coburn, Gordon Logie, Jason Beaver

Proceedings Volume 9972, 99720J (2016) https://doi.org/10.1117/12.2237069

KEYWORDS: Calibration, Reflectivity, Bidirectional reflectance transmission function, Remote sensing, Photonic integrated circuits, Sensors, Atmospheric modeling, Radio optics, Spectroscopy, Phase modulation

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SPIE Journal Paper | 10 August 2016

Flexible field goniometer system: the Goniometer for Outdoor Portable Hyperspectral Earth Reflectance

Charles Bachmann, Andrei Abelev, Marcos Montes, William Philpot, Deric Gray, Katarina Doctor, Robert Fusina, Gordon Mattis, Wei Chen, Scott Noble, Craig Coburn, Tom Corl, Lawrence Slomer, C. Reid Nichols, Elena van Roggen, Roy Hughes, Stephen Carr, Sergey Kharabash, Andrew Brady, Michael Vermillion

JARS, Vol. 10, Issue 03, 036012, (August 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.036012

KEYWORDS: Spectroscopy, Reflectivity, Scalable video coding, Data modeling, Scattering, Sun, Particles, Bidirectional reflectance transmission function, Global Positioning System, Sensors

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Proceedings Article | 23 October 2010 Paper

Assessment of soil surface BRDF using an imaging spectrometer

Z. Wang, C. Coburn, X. Ren, D. Mazumdar, S. Myshak, A. Mullin, P. Teillet

Proceedings Volume 7830, 783010 (2010) https://doi.org/10.1117/12.865099

KEYWORDS: Bidirectional reflectance transmission function, Reflectivity, Spectroscopy, Surface roughness, Data acquisition, Near infrared, Soil science, Sensors, Hyperspectral imaging, Remote sensing

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Proceedings Article | 29 October 2005 Paper

A canopy reflectance model based topographic normalization approach for forested terrain

Scott Soenen, Derek Peddle, Craig Coburn, Ron Hall

Proceedings Volume 5983, 598301 (2005) https://doi.org/10.1117/12.627688

KEYWORDS: Reflectivity, Image classification, Data modeling, Vegetation, Remote sensing, Multiphoton fluorescence microscopy, Sensors, Forestry, Accuracy assessment, Performance modeling

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Showing 5 of 8 publications

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