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19 June 2015 A sensitivity study for the calibration of hyperspectral spectrometer on board the geostationary multipurpose satellite of Korea
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Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 95351U (2015) https://doi.org/10.1117/12.2192534
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus
Abstract
A spectral calibration algorithm for the hyperspectral geostationary environmental monitoring spectrometer (GEMS) onboard GEO-KOMPSAT-2B (GK-2B) planned to launch in 2019 has been developed. Although spectral registration for the CCD detector is done by the optical parameters prepared during the ground test of the instrument, the algorithm is applied for the improved spectral accuracy. The prototype algorithm is based on the best fitting of the measured spectrum to the known high resolution reference spectrum such as the solar irradiance. To characterize the prototype algorithm, a series of sensitivity tests for various spectral parameters, such as squeeze, shift, spectral response function, and reference solar spectrum, has been performed. The prototype algorithm shows a minimal sensitive to the uncertainties associated with several parameters such as squeeze, shift, or spectral band. However, the algorithm performance degrades by an order if the spectral response function including its shape has uncertainty. Thus, it is recommended to measure the spectral response function at the ground test as accurately as possible. Furthermore, the prototype algorithm is also highly sensitive to the used reference solar spectrum, which needs further investigation.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Myoung-Hwan Ahn, Mina Kang, Xiong Liu, and Jhoon Kim "A sensitivity study for the calibration of hyperspectral spectrometer on board the geostationary multipurpose satellite of Korea", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95351U (19 June 2015); https://doi.org/10.1117/12.2192534
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