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Improved Band-to-Band Registration Characterization for VIIRS Reflective Solar Bands Based on Lunar ObservationsSpectral bands of the Visible Infrared Imaging Radiometer Suite (VIIRS) instrumentaboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite are spatially co-registered.The accuracy of the band-to-band registration (BBR) is one of the key spatial parameters that must becharacterized. Unlike its predecessor, the Moderate Resolution Imaging Spectroradiometer (MODIS), VIIRS has no on-board calibrator specifically designed to perform on-orbit BBR characterization.To circumvent this problem, a BBR characterization method for VIIRS reflective solar bands (RSB) based on regularly-acquired lunar images has been developed. While its results can satisfactorily demonstrate that the long-term stability of the BBR is well within +/- 0.1 moderate resolution bandpixels, undesired seasonal oscillations have been observed in the trending. The oscillations are most obvious between the visiblenear-infrared bands and short-middle wave infrared bands. This paper investigates the oscillations and identifies their cause as the band spectral dependence of the centroid position and the seasonal rotation of the lunar images over calibration events. Accordingly, an improved algorithm is proposed to quantify the rotation and compensate for its impact. After the correction, the seasonal oscillation in the resulting BBR is reduced from up to 0.05 moderate resolution band pixels to around 0.01 moderate resolution band pixels. After removing this spurious seasonal oscillation, the BBR, as well as its long-term drift are well determined.
Document ID
20170003536
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Wang, Zhipeng
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Xiong, Xiaoxiong
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Li, Yonghong
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Date Acquired
April 17, 2017
Publication Date
December 31, 2015
Publication Information
Publication: Remote Sensing
Publisher: mdpi
Volume: 8
Issue: 1
ISSN: 2072-4292
e-ISSN: 2072-4292
Subject Category
Numerical Analysis
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN41676
Distribution Limits
Public
Copyright
Other

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