Craig A. Coburn

According to our database1, Craig A. Coburn authored at least 12 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Reduced Prediction Saturation and View Effects for Estimating the Leaf Area Index of Winter Wheat.
IEEE Trans. Geosci. Remote. Sens., 2019

Multi-Spectral Lidar: Radiometric Calibration, Canopy Spectral Reflectance, and Vegetation Vertical SVI Profiles.
Remote. Sens., 2019

2018
Investigating Multi-Spectral Lidar Radiometry: An Overview of the Experimental Framework.
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.
Proceedings of the Earth Observing Systems XXIII, 2018

2016
ULGS II: A High-Performance Field and Laboratory Spectrogoniometer for Measuring Hyperspectral Bidirectional Reflectance Characteristics.
IEEE Trans. Geosci. Remote. Sens., 2016

Temporal dynamics of sand dune bidirectional reflectance characteristics for absolute radiometric calibration of optical remote sensing data.
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.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Using existing large-area land-cover maps to classify spatially high resolution images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Method to speed up LUT-based crop canopy parameter mapping.
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.
Intelligent Automation & Soft Computing, 2013

2006
Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005
SCS+C: A Modified Sun-Canopy-Sensor Topographic Correction in Forested Terrain.
IEEE Trans. Geosci. Remote. Sens., 2005


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