Abstract
The radiometric calibration for the reflective solar bands (RSB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (SNPP) platform has reached a mature stage after four years since its launch. The characterization of the vignetting effect of the attenuation screens, the bidirectional reflectance factor of the solar diffuser, the degradation performance of the solar diffuser, and the calibration coefficient of the RSB have all been made robust. Additional investigations into the time-dependent out-of-band relative spectral response and the solar diffuser degradation non-uniformity effect have led to newer insights. In particular, it has been demonstrated that the solar diffuser (SD) degradation non-uniformity effect induces long-term bias in the SD-calibration result. A mitigation approach, the so-called Hybrid Method, incorporating lunar-based calibration results, successfully restores the calibration to achieve ~0.2% level accuracy. The successfully calibrated RSB data record significantly impacts the ocean color products, whose stringent requirements are especially sensitive to calibration accuracy, and helps the ocean color products to reach maturity.
Highlights
The Visible Infrared Imaging Radiometer Suite (VIIRS) is one of five instruments housed by theSuomi National Polar-orbiting Partnership (SNPP) satellite launched on 28 October 2011 [1,2]
We review the algorithms of the VIIRS Sensor Data Records (SDR) from Raw Data Records (RDR), the reflective solar bands (RSB)
To distinguish the F-factor derived from the solar diffuser (SD)/solar diffuser stability monitor (SDSM) calibration and the F-factors obtained from the lunar calibration, they will be called as SD F-factors and lunar F-factors in this and later sections, respectively
Summary
The Visible Infrared Imaging Radiometer Suite (VIIRS) is one of five instruments housed by the. We have carefully derived the BRF and the VF [16], improved the accuracy of the SDSM calibration [8], and refined other related algorithms [5] With these improvements, both short-term and long-term stability and high accuracy of the F-factors are obtained [5]. A hybrid approach has been developed to appropriately combine SD-based and lunar-based calibration coefficients to generate a set of hybrid calibration coefficients, leading to overall stable short- and long-term calibrated VIIRS RSB Sensor Data Records (SDR) [14,19]. This is especially important for VIIRS ocean color Environmental Data Records (EDR).
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