Craig A. Coburn

According to our database, Craig A. Coburn authored at least 13 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Landsat 8 and 9 Underfly International Surface Reflectance Validation Collaboration.

Joshua Mann, Emily Maddox, Mahesh Shrestha, Jeffrey Irwin, Jeffrey Czapla-Myers, Aaron Gerace, Rehman S. Eon, Nina G. Raqueno, Craig A. Coburn, Guy Byrne, Mark Broomhall, Andrew J. Walsh

Remote. Sens., May, 2024

2019

Reduced Prediction Saturation and View Effects for Estimating the Leaf Area Index of Winter Wheat.

Li He, Craig A. Coburn, Zhi-Jie Wang, Wei Feng, Tian-Cai Guo

IEEE Trans. Geosci. Remote. Sens., 2019

Multi-Spectral Lidar: Radiometric Calibration, Canopy Spectral Reflectance, and Vegetation Vertical SVI Profiles.

Maxim Okhrimenko, Craig A. Coburn, Chris Hopkinson

Remote. Sens., 2019

2018

Investigating Multi-Spectral Lidar Radiometry: An Overview of the Experimental Framework.

Maxim Okhrimenko, Craig A. Coburn, Chris Hopkinson

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

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

Jeffrey S. Czapla-Myers, Craig A. Coburn, Kurtis J. Thome, Brian N. Wenny, Nikolaus J. Anderson

Proceedings of the Earth Observing Systems XXIII, 2018

2016

ULGS II: A High-Performance Field and Laboratory Spectrogoniometer for Measuring Hyperspectral Bidirectional Reflectance Characteristics.

Craig A. Coburn, Scott D. Noble

IEEE Trans. Geosci. Remote. Sens., 2016

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

Craig A. Coburn, Gordon Logie, Jason Beaver

Proceedings of the Earth Observing Systems XXI, SPIE Optical Engineering + Applications, San Diego, California, USA, 28 August, 2016

2014

Z-Score distance: A spectral matching technique for automatic class labelling in unsupervised classification.

Ilia Parshakov, Craig A. Coburn, Karl Staenz

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Using existing large-area land-cover maps to classify spatially high resolution images.

Peter Kennedy, Jinkai Zhang, Karl Staenz, Craig A. Coburn

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Method to speed up LUT-based crop canopy parameter mapping.

Yingying Dong, Jinkai Zhang, Zhijie Wang, Karl Staenz, Craig A. Coburn, Wei Xu, Xiaodong Yang, Jihua Wang

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Estimation of leaf area index by using multi-angular hyperspectral imaging data based on The two-layer canopy reflectance model.

Qinhong Liao, Chunjiang Zhao, Guijun Yang, Craig A. Coburn, Jihua Wang, Dongyan Zhang, Zhijie Wang

Intell. Autom. Soft Comput., 2013

2006

Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture.

Peter R. Eddy, Anne M. Smith, Bernard D. Hill, Derek R. Peddle, Craig A. Coburn, Robert E. Blackshaw

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005

SCS+C: A Modified Sun-Canopy-Sensor Topographic Correction in Forested Terrain.

Scott A. Soenen, Derek R. Peddle, Craig A. Coburn

IEEE Trans. Geosci. Remote. Sens., 2005