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NASA NTRS · 20240010558

OCI Geolocation Evaluation and Refinement Using Landsat Control Points

Frederick S Patt·Alexandr V Semenov·Gwyn F Fireman·Thomas J Owens·Corrine Rojas·John G Wilding
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Abstract

The Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission is NASA’s next investment in ocean biology, clouds, and aerosol data records. A key feature of PACE is the inclusion of an advanced satellite radiometer, Ocean Color Instrument (OCI), a global mapping radiometer that combines multispectral and hyperspectral remote sensing. The geolocation processing is performed for OCI using spacecraft navigation data and an instrument geometry model. To evaluate the geolocation accuracy for OCI and develop refinements to the processing methods, control point matching using Landsat data has been implemented as a step in the operational processing of OCI data at the Science Data Segment. This processing provides between 200 and 300 high-quality matchups per day with good global and geometric distribution, allowing rapid evaluation of the OCI geolocation accuracy. The results provided an early indication of the overall quality of the geolocation processing and of specific aspects needing improvement. A standard set of granules was identified to support rapid implementation and testing of geolocation refinements, and this approach has been highly successful in improving the geolocation processing accuracy to meet the science requirements. The evaluation will continue throughout the mission to ensure the ongoing accuracy of geolocation. This paper describes the control point matching methodology, the approach to development of the geolocation processing refinements, and the recent results.

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Frederick S Patt, Alexandr V Semenov, Gwyn F Fireman, Thomas J Owens, Corrine Rojas, John G Wilding. OCI Geolocation Evaluation and Refinement Using Landsat Control Points. https://ntrs.nasa.gov/citations/20240010558

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