GOES-16 Advanced Baseline Imager visible near-infrared channel low-light signal-to-noise ratio

Iacovazzi, Robbie; Wu, Xiangqian

doi:10.1117/1.JRS.14.026502

i

GOES-16 Advanced Baseline Imager visible near-infrared channel low-light signal-to-noise ratio

2020
By Iacovazzi, Robbie ; Wu, Xiangqian

Details

Journal Title:

Journal of Applied Remote Sensing
Personal Author:

Iacovazzi, Robbie ; Wu, Xiangqian
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)
Description:

Quantifying Geostationary Operational Environmental Satellite R-series (GOES-R) Advanced Baseline Imager (ABI) Channel (Ch) 2 low-light signal-to-noise ratio (SNR) is a core ABI postlaunch product test to validate prelaunch performance expectations of this parameter. For GOES-16, an SNR analysis has been performed to accomplish this goal using ABI Mode-3 MESO visible near-infrared (VNIR) channel L1b radiance product images taken every 30 s between 17:00 UTC and 17:15 UTC on May 23, 2017. Scene pixel data used in the analysis are first screened to ensure they meet the low-light criteria and to minimize scene temporal variability associated with meteorological evolution and geolocation uncertainty in highly inhomogeneous scenes. After such screening, image-to-image radiance time difference statistics are compiled and analyzed to estimate instrument SNR. Based on GOES-R ABI vendor prelaunch testing, minimum and mean expected ABI Ch 2 postlaunch SNR performance at 5% albedo was estimated to be 44.2 and 64.5, respectively. Meanwhile, the SNR computed in this analysis is found to be about 57 ± 8. Thus, low-light SNR for ABI Ch 2 is shown to meet minimum user expectations. The analysis for the other five GOES-16 ABI VNIR channels is also shown to contrast the SNR for these channels
Keywords:

Advanced Baseline Imager Calibration GOES-R Radiance Signal-to-noise Ratio Validation Visible Near-infrared
Source:

Journal of Applied Remote Sensing, 14(2)
DOI:

https://doi.org/10.1117/1.JRS.14.026502
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha256:a06f1ae4d892b9e33137e6f41d716ee0c3e08e6ca110bdc150dd60285b0650be
Download URL:

https://repository.library.noaa.gov/view/noaa/30623/noaa_30623_DS1.pdf
File Type:

[PDF - 1.77 MB ]

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