Evaluation of Geostationary Lightning Mapper (GLM) Navigation Performance with the INR Performance Assessment Toolset (IPATS)

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

关键词: EARTH OBSERVATIONS (FROM SPACE);    GOES 17;    IMAGE PROCESSING;    NAVIGATION INSTRUMENTS;    OPTICAL EQUIPMENT;    DATA BASES;    DATA PROCESSING;    IMAGE ANALYSIS;    PATTERN REGISTRATION;    TEMPORAL RESOLUTION;   

RP-ID  :  Paper # 10781-29,GSFC-E-DAA-TN59592

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

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 presentation, 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 background image datasets. Initial results suggest that GOES-16 GLM is compliant with navigation requirements.