22 August 2005 Sampling and uncertainty issues in trending reflectance-based vicarious calibration results
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Abstract
The Remote Sensing Group at the University of Arizona has successfully used various vicarious calibration methods for the absolute radiometric calibration of over 14 separate sensors since 2000. The results of this work implies that the absolute radiometric accuracy of the reflectance-based approach has absolute uncertainties of less than 3% in the visible and near infrared. The precision of the method also appears to have similar uncertainties. This work better quantifies these uncertainties through sensitivity analysis of typical inputs for the Ivanpah and Railroad Valley test sites and comparisons of results from the ALI, ASTER, and ETM+ sensors. The number of data sets collected for these sensors also allows for attempts to determine trends in the radiometric calibration of these sensors. The current work examines the difficulties in trending of reflectance-based results due to temporal sampling issues, site-to-site variability, and accuracy of the method. The results indicate that monthly results over a one-year period at the current accuracy levels may not be sufficient for determining trends in radiometric calibration even though the method provides an accurate absolute radiometric calibration.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Thome, K. Thome, } "Sampling and uncertainty issues in trending reflectance-based vicarious calibration results", Proc. SPIE 5882, Earth Observing Systems X, 588216 (22 August 2005); doi: 10.1117/12.618178; https://doi.org/10.1117/12.618178
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