Abstract
An image navigation (NAV) and registration (INR) performance assessment tool set (IPATS) was developed to assess the US Geostationary Operational Environmental Satellite R-series (GOES-R) Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) INR performance. IPATS produces five INR metrics for level 1B ABI images: navigation, channel-to-channel registration, frame-to-frame registration, swath-to-swath registration, and within-frame registration. IPATS also produces one INR metric for GLM: navigation of background images. The high-precision INR metrics produced by IPATS are critical to INR performance evaluation and long-term monitoring. IPATS INR metrics also provide feedback to INR engineers for tuning the navigation algorithms and parameters to further refine INR performance. IPATS utilizes a modular algorithm design to allow the user-selectable data processing sequence and configuration parameters. We first describe the algorithmic design and the implementation of IPATS. Next, it describes the investigation of the optimization of the configuration parameters to reduce measurement errors. Finally, sample INR performance is presented, including GOES-16 and GOES-17 ABI NAV performance from postlaunch test to November 2019 and the comparison of example 24-h INR performance against the mission performance requirements. The INR assessment results show that both GOES-R ABIs are in compliance with the mission INR requirements.
Highlights
The Geostationary Operational Environmental Satellite R-series (GOES-R) satellites, including GOES-16 and GOES-17, are the latest generation of GOES series satellites
The image navigation (NAV) and registration (INR) metrics produced by IPATS have been used to help tuning of both Advanced Baseline Imager (ABI) INR systems to achieve excellent INR accuracy performance
The processing sequence and the postprocess screenings are all customizable for each metric
Summary
The Geostationary Operational Environmental Satellite R-series (GOES-R) satellites, including GOES-16 and GOES-17, are the latest generation of GOES series satellites. The MESO image can be acquired at any location and is rectangular and has an extent of 1000 km EW × 1000 km NS.[2] The advanced temporal and spatial resolutions make ABIs a promising data source for imaging Earth’s surface and atmosphere. Accurate geolocation ensures that data from different channels of a sensor or data from different sensors/ sources can be applied together to retrieve high-level biogeophysical information.[4,5] An image navigation (NAV) and registration (INR) performance assessment tool set (IPATS) was designed and developed under the auspices of NASA’s GOES-R Flight Project for independent verification of the ABI INR performance in the postlaunch period for performance evaluation and long-term monitoring. IPATS was developed for analysis of the navigation accuracy of background images produced by the Geostationary Lightning Mapper (GLM) onboard both GOES-R series satellites. We present the latest GOES-16 and GOES-17 ABI performance measured by IPATS and how the in-depth analyses are performed based on IPATS measurement results
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