Assessment of swath-to-swath registration of GOES-R series ABI full disk data

The Advanced Baseline Imagers (ABI) on NOAA’s GOES-R series satellites perform sequential scans to collect swaths of image data that are assembled on the ground to produce Full Disk images of the Earth. The alignment of each swath relative to adjacent swaths is essential for accurate Image Navigation and Registration (INR) of the ABI images. Assessment of Swath-to-Swath Registration (SSR) errors is performed using the INR Performance Assessment Tool Set (IPATS), but the process currently depends on 24-hour special collections of Mesoscale data that typically occur only during the post launch testing phase. Through analysis and modification of an offline copy of the software that generates the fixed grid Level 1b product from the Level 1𝛽 swath data, it is possible to perform SSR performance assessment using Full Disk images during normal operations. The modifications preserve all Level 1b data in the swath overlap regions, whereas the operational ground system necessarily trims the overlap to yield a seamless image. In this paper we present the tool that generates the swath overlap Level 1b data for use with SSR analysis. This tool can be used as an add-on to the current GOES-R ABI Trending and Data Analysis Toolkit (GRATDAT). Additionally, we present the initial IPATS results of this SSR analysis, as well as comparison with previous Mesoscale image based SSR measurements.

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Published
2024-10-03
DOI
https://doi.org/10.1117/12.3028040
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
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article

Assessment of swath-to-swath registration of GOES-R series ABI full disk data

Alan D. Reth, John Dellomo, Bin Tan
Seismic Imaging and Inversion Techniques
article

Assessment of swath-to-swath registration of GOES-R series ABI full disk data

Alan D. Reth, John Dellomo, Bin Tan
article en

Abstract

The Advanced Baseline Imagers (ABI) on NOAA’s GOES-R series satellites perform sequential scans to collect swaths of image data that are assembled on the ground to produce Full Disk images of the Earth. The alignment of each swath relative to adjacent swaths is essential for accurate Image Navigation and Registration (INR) of the ABI images. Assessment of Swath-to-Swath Registration (SSR) errors is performed using the INR Performance Assessment Tool Set (IPATS), but the process currently depends on 24-hour special collections of Mesoscale data that typically occur only during the post launch testing phase. Through analysis and modification of an offline copy of the software that generates the fixed grid Level 1b product from the Level 1𝛽 swath data, it is possible to perform SSR performance assessment using Full Disk images during normal operations. The modifications preserve all Level 1b data in the swath overlap regions, whereas the operational ground system necessarily trims the overlap to yield a seamless image. In this paper we present the tool that generates the swath overlap Level 1b data for use with SSR analysis. This tool can be used as an add-on to the current GOES-R ABI Trending and Data Analysis Toolkit (GRATDAT). Additionally, we present the initial IPATS results of this SSR analysis, as well as comparison with previous Mesoscale image based SSR measurements.

Goddard Space Flight Center (US), Chesapeake College (US), Chesapeake Public Schools (US), Chesapeake Research Group (US), Global Science & Technology (United States) (US), Science Systems and Applications (United States) (US)
Openalex Percentile: Top 83%
Seismic Imaging and Inversion Techniques
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