Geolocation Assessment and Optimization for OMPS Nadir Mapper: Methodology

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2022-07, Vol.14 (13), p.3040
• Main Authors: Wang, Likun, Pan, Chunhui, Yan, Banghua, Beck, Trevor, Chen, Junye, Zhou, Lihang, Kalluri, Satya, Goldberg, Mitch
• Format: Article
• Language: English
• Subjects: Accuracy; Algorithms; Calibration; Collocation; geolocation; High resolution; image registration; Imaging radiometers; Infrared imaging; Infrared radiometers; Line of sight; Lookup tables; Optimization; Ozone; Ozone Mapping and Profiler Suite; Perturbation; Pixels; Radiometry; Remote sensing; Satellite tracking; Satellites; Sensors; Spacecraft; Spacecraft tracking; Spatial discrimination; Spatial resolution; Stratosphere; Visible Infrared Imaging Radiometer Suite
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14133040

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.