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Article

Geolocation Assessment and Optimization for OMPS Nadir Mapper: Methodology

1
Cooperative Institute for Satellite Earth System Studies (CISESS), Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20742, USA
2
NOAA/NESDIS/Center for Satellite Applications and Research, College Park, MD 20740, USA
3
Global Science and Technology, Inc., Greenbelt, MD 20770, USA
4
NOAA/NESDIS/JPSS Program Office, Greenbelt, MD 20771, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Mikhail ZHIZHIN
Remote Sens. 2022, 14(13), 3040; https://doi.org/10.3390/rs14133040
Received: 25 April 2022 / Revised: 8 June 2022 / Accepted: 14 June 2022 / Published: 24 June 2022
(This article belongs to the Special Issue Satellite Observations on Earth’s Atmosphere)
Onboard both the Suomi National Polar-orbiting Partnership and Joint Polar Satellite System (JPSS) series of satellites, the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) is a new generation of a total ozone column sensor and is used to generate total column ozone products. This study presents a method for efficiently assessing OMPS-NM geolocation accuracy using spatially collocated radiance measurements from the Visible Infrared Imaging Radiometer Suite (VIIRS) Moderate Band M1 by taking advantage of its high spatial resolution (750 m at nadir) and accurate geolocation. The basic idea is to find the best collocation position with maximum correlation between VIIRS collocated and real OMPS-NM radiances by perturbing OMPS-NM line-of-sight (LOS) vectors in the cross-track and along-track directions with small steps in the spacecraft coordinate. The perturbation angles at the best collocation position where OMPS-NM and VIIRS are optimally aligned are used to characterize OMPS-NM geolocation accuracy. In addition, the assessment results can be used to optimize the OMPS-NM field view angle lookup table in the Sensor Data Record (SDR) processing software to improve its geolocation accuracy. To demonstrate the methodology, the proposed method is successfully employed to evaluate OMPS-NM geolocation accuracy with different spatial resolutions. The results indicate that, after the view angle table was updated, the geolocation accuracy for both SNPP and NOAA-20 OMPS-NM is on the sub-pixel level (less than ¼ pixel size) along all the scan positions in both cross-track and along-track directions and the performance is very stable with time. The method proposed in this study lays down the framework for assessing the geolocation accuracy of future high-resolution OMPS-NM measurements. View Full-Text
Keywords: geolocation; calibration; Ozone Mapping and Profiler Suite; Visible Infrared Imaging Radiometer Suite; image registration geolocation; calibration; Ozone Mapping and Profiler Suite; Visible Infrared Imaging Radiometer Suite; image registration
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MDPI and ACS Style

Wang, L.; Pan, C.; Yan, B.; Beck, T.; Chen, J.; Zhou, L.; Kalluri, S.; Goldberg, M. Geolocation Assessment and Optimization for OMPS Nadir Mapper: Methodology. Remote Sens. 2022, 14, 3040. https://doi.org/10.3390/rs14133040

AMA Style

Wang L, Pan C, Yan B, Beck T, Chen J, Zhou L, Kalluri S, Goldberg M. Geolocation Assessment and Optimization for OMPS Nadir Mapper: Methodology. Remote Sensing. 2022; 14(13):3040. https://doi.org/10.3390/rs14133040

Chicago/Turabian Style

Wang, Likun, Chunhui Pan, Banghua Yan, Trevor Beck, Junye Chen, Lihang Zhou, Satya Kalluri, and Mitch Goldberg. 2022. "Geolocation Assessment and Optimization for OMPS Nadir Mapper: Methodology" Remote Sensing 14, no. 13: 3040. https://doi.org/10.3390/rs14133040

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