13 February 2020 Assessment of SNPP VIIRS RSB detector-to-detector differences using deep convective clouds and deserts
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Abstract

An accurate on-orbit characterization of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership satellite is essential to satisfy the requirements from NOAA, NASA, and the general research community for high-quality operational and research products. NASA’s Land Science Investigator-led Processing System (LSIPS) sensor data records (SDRs) are utilized to assess the stability of the calibrated top of atmosphere reflectance over the deep convective clouds (DCCs) and over the Libya-4 desert site. The results from DCCs and desert show detector-to-detector (D2D) reflectance differences in the VIIRS reflective solar bands, 10 moderate-resolution bands (M-bands, M1 to M5, M7 to M11), and three imagery resolution bands (I-bands, I1-I3). More importantly, the D2D differences exhibit an increase in magnitude over time for bands M1 to M5 and I1 to I2, which induces noticeable striping and higher uncertainties in the downstream data products. The largest D2D difference is observed in bands M1 and M2, with magnitudes greater than 1.8% in trends among the 16 detectors and standard deviations less than 0.12% over time. The D2D stability assessment results over DCCs are consistent with those observed over the Libya-4 desert site. To improve the quality of the calibrated SDR reflectance data, NASA’s VIIRS characterization support team has improved the calibration algorithm to incorporate corrections based on these DCC measurements to mitigate the striping (detector differences) observed in the current version of the SDR. These improvements are planned to be included in the next mission reprocessing of the LSIPS land products.

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2020/$28.00 © 2020 SPIE
Qiaozhen Mu, Aisheng Wu, Xiaoxiong Xiong, and Amit Angal "Assessment of SNPP VIIRS RSB detector-to-detector differences using deep convective clouds and deserts," Journal of Applied Remote Sensing 14(1), 018503 (13 February 2020). https://doi.org/10.1117/1.JRS.14.018503
Received: 23 October 2019; Accepted: 28 January 2020; Published: 13 February 2020
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Cited by 5 scholarly publications.
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KEYWORDS
Sensors

Reflectivity

Calibration

Clouds

Short wave infrared radiation

Solids

Bidirectional reflectance transmission function

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