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Jay P. Hoffman
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2020 – today
- 2023
- [j5]Jay P. Hoffman, Timothy F. Rahmes, Anthony J. Wimmers, Wayne F. Feltz:
The Application of a Convolutional Neural Network for the Detection of Contrails in Satellite Imagery. Remote. Sens. 15(11): 2854 (2023) - 2022
- [j4]Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key:
A 20-Year Climatology of Sea Ice Leads Detected in Infrared Satellite Imagery Using a Convolutional Neural Network. Remote. Sens. 14(22): 5763 (2022) - 2021
- [j3]Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key, Iain L. McConnell:
Application of a Convolutional Neural Network for the Detection of Sea Ice Leads. Remote. Sens. 13(22): 4571 (2021)
2010 – 2019
- 2019
- [j2]Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key:
The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers. Remote. Sens. 11(5): 521 (2019) - 2010
- [c1]Wilfrid Schroeder, Ivan Csiszar, Louis Giglio, Evan Ellicott, Christopher C. Schmidt, Jay P. Hoffman, Scott Lindstrom:
Early characterization of the active fire detection products derived from the next generation NPOESS/VIIRS and GOES-R/ABI instruments. IGARSS 2010: 2683-2686
2000 – 2009
- 2009
- [j1]Jeffrey S. Reid, Edward J. Hyer, Elaine M. Prins, Douglas L. Westphal, Jianglong Zhang, Jun Wang, Sundar A. Christopher, Cynthia A. Curtis, Christopher C. Schmidt, Daniel P. Eleuterio, Kim A. Richardson, Jay P. Hoffman:
Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(3): 144-162 (2009)
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