Schwerdtfeger Library Publications Database

Results: Found 17234 records (displaying records 5426 through 5450)

5426. Hoffman, J.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm. Washington, DC, American Geophysical Union, 2011, Abstract IN53C-1636.

5427. Hoffman, Jay P.; Ackerman, S. A.; Liu, Y. and Key, J. R.. Satellite detection of Arctic sea ice leads. Boston, MA, American Meteorological Society, 2017, Abstract 6.5.

5428. Hoffman, Jay P.; Ackerman, S. A.; Liu, Y. and Key, J. R.. Satellite detection of Arctic sea ice leads. Boston, MA, American Meteorological Society, 2017, Abstract 6.5.

5429. Hoffman, Jay P.; Ackerman, S.; Liu, Y. and Key, J.. Characterizing Arctic Sea ice leads from space. Boston, MA, American Meteorological Society, 2016, Abstract 13.4.

5430. Hoffman, Jay P.; Ackerman, S.; Liu, Y. and Key, J.. Characterizing Arctic Sea ice leads from space. Boston, MA, American Meteorological Society, 2016, Abstract 13.4.

5431. Hoffman, Jay P.; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey R.. The detection and characterization of Arctic sea ice leads with satellite imagers. Remote sensing, Volume: 11, Issue: 5, 2019, pp.521. Reprint # 8335.
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5432. Hoffman, Jay P.; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey R.. The detection and characterization of Arctic sea ice leads with satellite imagers. Remote sensing, Volume: 11, Issue: 5, 2019, pp.521. Reprint # 8335.
PDF Document Link to PDF

5433. Hoffman, Jay P.; Ackerman, Steven A.; Liu, Yinghui; Key, Jeffrey R. and McConnell, Iain L.. Application of a convolutional neural network for the detection of sea ice leads. Remote Sensing, Volume: 13, Issue: 22, 2021, pp.4571. Reprint # 8751.
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5434. Hoffman, Jay P.; Ackerman, Steven A.; Liu, Yinghui; Key, Jeffrey R. and McConnell, Iain L.. Application of a convolutional neural network for the detection of sea ice leads. Remote Sensing, Volume: 13, Issue: 22, 2021, pp.4571. Reprint # 8751.
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5435. Hoffman, Jay P.; Prins, Elaine M.; Schmidt, Christopher C.; Ackerman, Steven A. and Reid, Jeffrey S.. Characterizing and understanding the differences between GOES WF_ABBA and MODIS fire products and implications for data assimilation. Boston, MA, American Meteorological Society, 2007, Paper P1.9. Reprint # 5236.

5436. Hoffman, Jay P.; Prins, Elaine M.; Schmidt, Christopher C.; Ackerman, Steven A. and Reid, Jeffrey S.. Characterizing and understanding the differences between GOES WF_ABBA and MODIS fire products and implications for data assimilation. Boston, MA, American Meteorological Society, 2007, Paper P1.9. Reprint # 5236.

5437. Hoffman, Jay P.; Rahmnes, Timothy F.; Wimmers, Anthony J. and Feltz, Wayne F.. The application of a convolutional neural network for the detection of contrails in satellite imagery. Remote Sensing, Volume: 15, Issue: 11, 2023, pp.2854. Reprint # 8942.
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5438. Hoffman, Jay P.; Rahmnes, Timothy F.; Wimmers, Anthony J. and Feltz, Wayne F.. The application of a convolutional neural network for the detection of contrails in satellite imagery. Remote Sensing, Volume: 15, Issue: 11, 2023, pp.2854. Reprint # 8942.
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5439. Hoffman, Jay P.; Schmidt, C. C. and Prins, E. M.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm development activities at CIMSS. Boston, MA, American Meteorological Society, 2010, Abstract P8.10.

5440. Hoffman, Jay P.; Schmidt, C. C. and Prins, E. M.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm development activities at CIMSS. Boston, MA, American Meteorological Society, 2010, Abstract P8.10.

5441. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. Recent developments with the global Wild Fire Automated Biomass Burning Algorithm. Boston, MA, American Meteorological Society, 2014, Abstract 793.

5442. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R fire detection algorithm from research to operations. Boston, MA, American Meteorological Society, 2012, Abstract 498.

5443. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. Recent developments with the global Wild Fire Automated Biomass Burning Algorithm. Boston, MA, American Meteorological Society, 2014, Abstract 793.

5444. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R fire detection algorithm from research to operations. Boston, MA, American Meteorological Society, 2012, Abstract 498.

5445. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M.; Lindstrom, S. S. and Brunner, J. C.. Recent WF_ABBA fire detection and characterization algorithm validation efforts at CIMSS. Boston, MA, American Meteorological Society, 2009, Abstract JP7.10.

5446. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M.; Lindstrom, S. S. and Brunner, J. C.. Recent WF_ABBA fire detection and characterization algorithm validation efforts at CIMSS. Boston, MA, American Meteorological Society, 2009, Abstract JP7.10.

5447. Hoffman, Jay P.; Schmidt, Christopher C.; Prins, Elaine M.; Brunner, Jason C.; Feltz, Joleen M. and Lindstrom, Scott S.. Recent Wild Fire Automated Biomass Buring Algorithm activities at CIMSS. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 14.
Abstract Document Link to Abstract

5448. Hoffman, Jay P.; Schmidt, Christopher C.; Prins, Elaine M.; Brunner, Jason C.; Feltz, Joleen M. and Lindstrom, Scott S.. Recent Wild Fire Automated Biomass Buring Algorithm activities at CIMSS. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 14.
Abstract Document Link to Abstract

5449. Hoffman, Jay; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey Robert. Trends in Arctic sea ice leads detection. Washington, DC, American Geophysical Union, 2016, Abstract C21C-0703.

5450. Hoffman, Jay; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey Robert. Trends in Arctic sea ice leads detection. Washington, DC, American Geophysical Union, 2016, Abstract C21C-0703.