From Event: SPIE Optical Engineering + Applications, 2016
The GOES-R field campaign (planned for April – June 2017) is focused to support post-launch validation of the Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM). Great emphasis has been placed in the development of methodologies to achieve the ABI GOES-R field campaign primary objective - validation of ABI L1b spectral radiance observations to ensure the SI traceability established pre-launch. An integrated approach using high altitude aircraft, near surface UAS, and satellite reference measurements was developed to achieve the ABI validation objectives of the GOES-R field campaign. The high-altitude aircraft measurements coupled with special ABI collections are planned to provide the primary pathway (direct comparison) to validate ABI SI traceability of all ABI operational detectors. Near surface Unmanned Aircraft Systems (UAS) are planned to provide a secondary pathway to validate ABI SI traceability through coincident near surface measurements of Earth validation targets using the Earth’s surface as a reference (indirect comparison). Satellite reference measurements obtained through special ABI collections and Simultaneous Nadir Overpass (SNO) of reference sensors will also provide a secondary pathway to validate ABI SI traceability. A detailed description of each validation approach, the critical components, and the preliminary expected uncertainties will be presented. The combined collections offer advanced post-launch validation capabilities and foster new perspectives for science teams during the post-launch validation and monitoring of NOAA’s next generation of operational environmental satellites.
Francis Padula, Aaron J. Pearlman, Changyong Cao, and Steve Goodman, "Towards post-launch validation of GOES-R ABI SI traceability with high-altitude aircraft, small near surface UAS, and satellite reference measurements," Proc. SPIE 9972, Earth Observing Systems XXI, 99720V (Presented at SPIE Optical Engineering + Applications: August 31, 2016; Published: 19 September 2016); https://doi.org/10.1117/12.2238181.
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