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Initial design and performance of the near surface unmanned aircraft system sensor suite in support of the GOES-R field campaign.

, , , , and . Earth Observing Systems, volume 9972 of SPIE Proceedings, page 99720U. SPIE, (2016)

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Characterizing the GOES-R (GOES-16) Geostationary Lightning Mapper (GLM) on-orbit performance., , , , , , and . IGARSS, page 279-282. IEEE, (2017)GOES-R Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) calibration/validation from a field campaign perspective., , , and . IGARSS, page 301-304. IEEE, (2017)Towards post-launch validation of GOES-R ABI SI traceability with high-altitude aircraft, small near surface UAS, and satellite reference measurements., , , and . Earth Observing Systems, volume 9972 of SPIE Proceedings, page 99720V. SPIE, (2016)Initial design and performance of the near surface unmanned aircraft system sensor suite in support of the GOES-R field campaign., , , , and . Earth Observing Systems, volume 9972 of SPIE Proceedings, page 99720U. SPIE, (2016)Lightning., , and . Encyclopedia of Remote Sensing, Springer, (2014)Latest assessment of GOES-R (16) Advanced Baseline Imager (ABI) data quality from an application and training perspective., , , , , and . IGARSS, page 283-285. IEEE, (2017)Challenges and Opportunities in Visualization for NASA's EOS Mission to Planet Earth - Panel., , , , and . IEEE Visualization, page 392-395. IEEE Computer Society, (1994)