Paper
22 August 2005 Monitoring GOES Imager visible-channel responsivities using empirical distribution functions of Earth data
David Crosby, Jeanette Baucom, I-Lok Chang, Charles Dean, Dejiang Han, Larry McMillin, Michael Weinreb, Xiangqian Wu
Author Affiliations +
Abstract
Although the visible channel of the Imagers carried by NOAA's operational Geostationary Operational Environmental Satellites (GOES) has no onboard calibration device, the decrease in the responsivity of this channel over time must be known if we are to make the data in this channel useful for detecting trends in the signals from the Earth. Therefore, some external method is required to provide this information. In this paper, we examine an external technique for monitoring responsivity changes based on empirical distribution functions (EDFs) of observations of the Earth's full disk. A time series of instrument outputs (in digital counts) at fixed levels at the tops of the EDFs is produced. A nonlinear least squares technique is then employed to adjust the time series for solar and seasonal effects and to fit it with an exponential, whose argument provides the rate of degradation of the responsivity. This technique assumes that the probabilistic structure of the signal from the earth does not change over time. The resulting time series and estimated responsivity degradation rates for the visible channels of GOES-8 and -10 Imagers will be presented. These results are similar to those obtained earlier with a star-based technique, thus increasing our confidence in the results of both techniques. The EDF technique and the star-based technique are synergistic, as they use very different approaches and data sets. Also, the star based technique works at the low end of the Imager's output signal range, whereas the EDF technique works at the high end.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Crosby, Jeanette Baucom, I-Lok Chang, Charles Dean, Dejiang Han, Larry McMillin, Michael Weinreb, and Xiangqian Wu "Monitoring GOES Imager visible-channel responsivities using empirical distribution functions of Earth data", Proc. SPIE 5882, Earth Observing Systems X, 58820O (22 August 2005); https://doi.org/10.1117/12.616933
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Cited by 3 scholarly publications.
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KEYWORDS
Imaging systems

Stars

Data modeling

Calibration

Satellites

Statistical modeling

Satellite imaging

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