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9 September 2019 Inverse solution to the electronic crosstalk correction of bands 27-30 in Terra MODIS
Truman Wilson, Xiaoxiong Xiong
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Proceedings Volume 11127, Earth Observing Systems XXIV; 1112726 (2019) https://doi.org/10.1117/12.2528143
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States
Abstract
In the Terra MODIS Collection 6.1 (C6.1) Level-1B (L1B) product, an electronic crosstalk correction is implemented for bands 27 − 30 using a linear algorithm. In this algorithm, the measured (contaminated) signal from the detectors in the bands was used as a reference signal for deriving the correction coefficients from lunar images and for applying the correction to the calibration and L1B data. As the mission progressed, the level of contamination steadily increased in each detector, with an additional large increase associated with the Terra MODIS safe-mode anomaly in February of 2016. In this work, we developed a modified algorithm for deriving the crosstalk coefficients and applying the correction which uses the inverse crosstalk coefficient matrix in order to remove the contamination from the reference signal. We apply the coefficients using this modified algorithm to calibration and Earth-view data in order to assess the difference with the data in C6.1. We also perform calculations using simulated contamination to show the difference in the recovery of the corrected signal between the C6.1 algorithm and the modified algorithm. We will show, that although the current levels of contamination are much higher than early in the mission, the overall impact of having contamination on the reference signal for the correction is small. However, this impact is non-linear as a function of the magnitude of the contamination level, so it should be monitored as the mission continues.
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Truman Wilson and Xiaoxiong Xiong "Inverse solution to the electronic crosstalk correction of bands 27-30 in Terra MODIS", Proc. SPIE 11127, Earth Observing Systems XXIV, 1112726 (9 September 2019); https://doi.org/10.1117/12.2528143
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KEYWORDS
Sensors
Contamination
MODIS
Calibration
Data corrections
Algorithm development
Computer simulations
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