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Remote Sens. 2013, 5(12), 6958-6975; doi:10.3390/rs5126958

The Application of Deep Convective Clouds in the Calibration and Response Monitoring of the Reflective Solar Bands of FY-3A/MERSI (Medium Resolution Spectral Imager)

1,2,* , 1,2
,
1,2
and
1,2
1
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration (LRCVES/CMA), No. 46 Zhongguancun Nandajie Rd., Beijing 10081, China
2
National Satellite Meteorology Center, China Meteorological Administration (NSMC/CMA), Beijing 100081, China
*
Author to whom correspondence should be addressed.
Received: 7 October 2013 / Revised: 14 November 2013 / Accepted: 18 November 2013 / Published: 12 December 2013
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Abstract

Based on simulated reflectance, deep convective clouds (DCC) can be used as an invariant target to monitor the radiometric response degradation of the FY-3A/MERSI (Medium Resolution Spectral Imager) reflective solar bands (RSBs). The long-term response of the MERSI RSBs can easily be predicted using a quadratic fit of the monthly DCC mean reflectance, except for bands 6 and 7, which suffer from instrument anomalies. DCC-based degradations show that the blue bands (λ < 500 nm) and water-vapor bands have degraded significantly, whereas for near-infrared bands, the total degradations in four years are within 3% (excluding bands 3 and 20). For most bands, the degradation rates are greatest during the first year in orbit and decrease over time. The FY-3A/MERSI degradation results derived from DCC are consistent within 2.5%, except for bands, 11, 18 and 19, when compared with Aqua/MODIS(Moderate Resolution Imaging Sepetroradiometer) inter-calibration, multi-site invariant earth target calibration and the CRCS(Chinese Radiometric Calibration Site) Dunhuang desert vicarious calibration methods. Overall, the 2σ/mean degradation uncertainty for most MERSI bands was within 3%, validating the temporal stability of the DCC monthly mean reflectances. The DCC method has reduced the degradation uncertainties for MERSI water vapor bands over other methods. This is a significant advantage of the DCC calibration method. The saturation of some MERSI bands may hinder the effectiveness of the DCC calibration approach.
Keywords: deep convective cloud; radiometric calibration; response degradation; MERSI; reflective solar bands deep convective cloud; radiometric calibration; response degradation; MERSI; reflective solar bands
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Chen, L.; Hu, X.; Xu, N.; Zhang, P. The Application of Deep Convective Clouds in the Calibration and Response Monitoring of the Reflective Solar Bands of FY-3A/MERSI (Medium Resolution Spectral Imager). Remote Sens. 2013, 5, 6958-6975.

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