Techniques, logistics, and algorithms required to reduce data, derive results, and estimate uncertainties. Explores the process required to produce science quality results.
Session Chair: David Pollock, University of Alabama-Huntsville
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2012 | ||
Monday, August 27th | ||
3:30 PM |
A Numerical Simulator for Noise Calibration Studies Paul Racette, NASA Goddard Space Flight Center 3:30 PM |
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3:50 PM |
Diffraction Effects on Broadband Radiation in Multi-staged Systems Eric L. Shirley, National Institute of Standards and Technology (NIST), Sensor Science Division 3:50 PM |
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4:10 PM |
Uncertainty Requirements in Contract SOW for GOES-R and Implementation of GUM and VIM3 Raghu Kacker, National Institute of Standards and Technology (NIST) 4:10 PM |
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4:50 PM |
Combining Imaging Statistics and Side Slither Imagery to Estimate Relative Detector Gains Cody Anderson, RapidEye 4:50 PM |
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5:10 PM |
Xi Shao, NOAA/NESDIS/STAR 5:10 PM |
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5:30 PM |
Dave Pogorzala, Integrity Applications Incorporated 5:30 PM |