Evaluation of geostationary lightning mapper navigation performance with the INR Performance Assessment Toolset (IPATS)

Peter J. Isaacson; Evan M. Haas; Frank J. De Luccia; Gabriel Moy; Brian C. Porter; Alan D. Reth; Scott Houchin; Justin M. Graybill; Philip C. Slingerland; Christopher N. Folley

doi:10.1117/12.2324757

23 October 2018 Evaluation of geostationary lightning mapper navigation performance with the INR Performance Assessment Toolset (IPATS)

Peter J. Isaacson, Evan M. Haas, Frank J. De Luccia, Gabriel Moy, Brian C. Porter, Alan D. Reth, Scott Houchin, Justin M. Graybill, Philip C. Slingerland, Christopher N. Folley

Author Affiliations +

Proceedings Volume 10781, Earth Observing Missions and Sensors: Development, Implementation, and Characterization V; 107810S (2018) https://doi.org/10.1117/12.2324757
Event: SPIE Asia-Pacific Remote Sensing, 2018, Honolulu, Hawaii, United States

Abstract

The GOES-R flight project has developed the Image Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) to perform independent INR evaluations of the optical instruments on the GOES-R series spacecraft. In this paper, we document the development of navigation (NAV) evaluation capabilities within IPATS for the Geostationary Lightning Mapper (GLM). We also discuss the post-processing quality filtering developed for GLM NAV, and present example results for several GLM datasets. Initial results suggest that GOES-16 GLM is compliant with navigation requirements.

Citation Download Citation

Peter J. Isaacson, Evan M. Haas, Frank J. De Luccia, Gabriel Moy, Brian C. Porter, Alan D. Reth, Scott Houchin, Justin M. Graybill, Philip C. Slingerland, and Christopher N. Folley "Evaluation of geostationary lightning mapper navigation performance with the INR Performance Assessment Toolset (IPATS)", Proc. SPIE 10781, Earth Observing Missions and Sensors: Development, Implementation, and Characterization V, 107810S (23 October 2018); https://doi.org/10.1117/12.2324757

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