Paper
7 September 2018 Validation of GOES-16 ABI reflective solar band calibration through reanalysis and comparison with field campaign data
Author Affiliations +
Abstract
The Advanced Baseline Imager (ABI) is a critical instrument onboard GOES-16 which provides high quality Reflective Solar Bands (RSB) data though radiometric calibration using onboard solar diffuser. Intensive field campaign for post-launch validation of the ABI L1B spectral radiance observations was carried out during March-May, 2017 to ensure the SI traceability of ABI. In this paper, radiometric calibrations of the five RSBs of ABI are evaluated with the measurements by Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) onboard the high-altitude aircraft ER2. The ABI MESO data processed by the vendor with ray-matching to AVIRIS-NG during the field campaign was compared with the AVIRIS-NG measurements for radiometric bias evaluation. Furthermore, there were several implementations and updates in the solar calibration of ABI RSBs which resulted in different versions of detector gains and nonlinear calibration factors. These calibrations included the calibration by the operational ground processing system, by vendor and the calibration with updated nonlinear calibration factor table for striping mitigation and accounting for the integration time difference between solar calibration and Earth view. The North-South Scan (NSS) field campaign data of ABI were re-processed with these calibration coefficients to quantitatively evaluate the detector uniformity change. The detector uniformity difference are traced back to the difference in the implementation of the solar calibration.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xi Shao, Xiangqian Wu, Changyong Cao, Sirish Uprety, Fangfang Yu, Haifeng Qian, Frank Padula, Aaron Pearlman, Taeyoung Choi, Brent Bartlett, and Jason Casey "Validation of GOES-16 ABI reflective solar band calibration through reanalysis and comparison with field campaign data", Proc. SPIE 10764, Earth Observing Systems XXIII, 107640I (7 September 2018); https://doi.org/10.1117/12.2323024
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Calibration

Data conversion

Detection and tracking algorithms

Reflectivity

Diffusers

Data modeling

Back to Top