1. 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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2. Li, Sanmei; Sun, Donglian; Goldberg, Mitchell D.; Kalluri, Satya; Sjoberg, Bill; Lindsey, Dan; Hoffman, Jay P.; DeWeese, Mike; Connelly, Brian; Mckee, Paul and Lander, Kris. A downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 192, 2022, pp.279-298. Reprint # 8850.
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3. 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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4. 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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5. Li, Sanmei; Sun, Donglian; Goldberg, Mitchell D.; Sjobrg, Bill; Santek, David; Hoffman, Jay P.; DeWeese, Mike; Restrepo, Pedro; Lindsey, Scott and Holloway, Eric. Automatic near real-time flood detection using Suomi-NPP/VIIRS data. Remote Sensing of Environment, Volume 204, 2018, pp.672-689. Reprint # 8222.
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6. Ackerman, Steven A.; Hoffman, Jay; Key, Jeffrey and Liu, Yinghui. An algorithm to determine the spatial and temporal distributions of sea ice leads in the Arctic. Final report on NNX14AJ42G for the period 24 May 2014-23 May 2018. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, 2018. Call Number: UW SSEC Publication No.18.00.A1.
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| 7. Hoffman, Jay P.; Ackerman, S. A.; Liu, Y. and Key, J. R. Satellite detection of Arctic sea ice leads. Conference on Polar Meteorology and Oceanography, 14th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 6.5. |
8. Ackerman, Steven A.; Hoffman, Jay; Key, Jeffrey and Liu, Yinghui. An algorithm to determine the spatial and temporal distributions of sea ice leads in the Arctic. Year 2 report on NNX14AJ42G for the period 28 May 2016-27 May 2017. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, 2017. Call Number: UW SSEC Publication No.17.05.A1.
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| 9. Li, Sanmei; Sun, Donglian; Goldberg, Mitch; Sjoberg, William; Santek, David and Hoffman, Jay. Introduction to SNPP/VIIRS cloud mapping software version 1.0. AGU Fall Meeting, New Orleans, LA, 11-15 December 2017. American Geophysical Union, Washington, DC, 2017, Abstract IN53D-03. |
10. Hoffman, Jay; Santek, Dave; Li, Sanmei and Romanov, Peter. Real-time generation of flood and river ice and products derived from VIIRS direct broadcast imagery. CSPP/IMAPP Users' Group Meeting, Madison, WI, 27-29 June 2017. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), Madison, WI, 2017, PowerPoint Presentation. 22 slides,
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| 11. Hoffman, Jay P.; Ackerman, S.; Liu, Y. and Key, J. Characterizing Arctic Sea ice leads from space. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 13.4. |
| 12. Hoffman, Jay; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey Robert. Trends in Arctic sea ice leads detection. AGU Fall Meeting, San Francisco, CA, 12-16 December 2016. American Geophysical Union, Washington, DC, 2016, Abstract C21C-0703. |
13. Ackerman, Steven A.; Hoffman, Jay; Key, Jeffrey and Liu, Yinghui. An algorithm to determine the spatial and temporal distributions of sea ice leads in the Arctic. Year 2 report on NNX14AJ42G for the period 28 May 2015-10 May 2016. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, 2016. Call Number: UW SSEC Publication No.16.05.A1.
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14. Santek, David; Li, S.; Chaoch, N.; Gerth, J.; Hoffman, J. and Alabi, P. Real-time generation of river ice and flood products derived from VIIRS imagery. CSPP/IMAPP Users' Group Meeting, Eumetsat, Darmstadt, Germany, 14-16 April 2015. University of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI, 2015, PowerPoint presentation. 25 slides,
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| 15. Ackerman, S. A.; Key, J.; Hoffman, J. and Liu, Y. MODIS observations of sea-ice leads in the Arctic. 2015 EUMETSAT Meteorological Satellite Conference, Toulouse, France, 21-25 September 2015. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2015, PowerPoint presentation. |
| 16. Hyer, Edward J.; Curtis, C. A.; Hoffman, J. P.; Peterson, D. A.; Prins, E. M.; Reid, J. S. and Schmidt, C. C. Constructing an improved time series of satellite-retrieved fire radiative power during large wildfires. Symposium on Fire and Forest Meteorology, 11th, Minneapolis, MN, 7 April 2015. American Meteorological Society, Boston, MA, 2015, Abstract 7.1. |
| 17. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C. Recent developments with the global Wild Fire Automated Biomass Burning Algorithm. Symposium on the Joint Center for Satellite Data Assimilation, 2nd, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract 793. |
18. Schmidt, Chris; Hoffman, Jay; Schroeder, Wilfrid and Yu, Yunyue. ABI fire detection and characterization algorithm. AWG Validation Workshop, 2nd, College Park, MD, 9-10 January 2014. NASA, Goddard Space Flight Center, GOES-R Program Office, Greenbelt, MD, 2014, PowerPoint presentation. 19 slides,
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| 19. Hyer, E. J.; Peterson, D. A.; Curtins, C. A.; Schmidt, C. C.; Hoffman, J. and Prins, E. M. Asynchronous processing of a constellation of geostationary and polar-orbiting satellites for fire detection and smoke estimation. AGU Fall Meeting, San Francisco, CA, 15-19 December 2014. American Geophysical Union, Washington, DC, 2014, Abstract IN41D-03. |
| 20. Hyer, E. J.; Schmidt, C. C.; Hoffman, J.; Giglio, L. and Peterson, D. A. Implementing a combined polar-geostationary algorithm for smoke emissions estimation in near real time. AGU Fall Meeting, San Francisco, CA, 9-13 December 2013. American Geophysical Union, Washington, DC, 2013, Abstract IN13C-04. |
| 21. Schmidt, C. C.; Hoffman, J. and Prins, E. M. Visualizing global wildfire automated biomass buring algorithm data. AGU Fall Meeting, San Francisco, CA, 9-13 December 2013. American Geophysical Union, Washington, DC, 2013, Abstract IN11B-1527. |
| 22. Brunner, Jason C.; Schmidt, C. C.; Prins, E. M.; Hoffman, J. P.; Schroeder, W. and Csiszar, I. A. Western Hemisphere diurnal fire activity 1995-2012: Description and initial fire trend analysis of the GOES-East version 6.5 WF_ABBA data archive. Conference on Applied Climatology, 20th, Austin, TX, 6-10 January 2013. American Meteorological Society, Boston, MA, 2013, Abstract 210. |
| 23. Schmidt, Christopher C. and Hoffman, Jay P. Geostationary fire detection and characterization with GOES-R ABI. 2013 NOAA Satellite Science Week, 18-22 March 2013. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation. |
| 24. Hyer, Edward J.; Reid, Jeffrey S.; Prins, Elaine M.; Hoffman, Jay P.; Schmidt, Christospher C.; Meittinen, Jukka I. and Giglio, Louis. Patterns of fire activity over Indonesia and Malaysia from polar and geostationary satellite observations. Atmospheric Research, Volume 122, 2013, pp.504-519. Reprint # 6937. |
| 25. Schmidt, Christopher; Csiszar, Ivan; Schroeder, Wilfrid; Hoffman, Jay and Yu, Yunyue. Fire detection and characterization with GOES-R ABI. 2012 NOAA Satellite Science Week, Kansas City, MO, 30 April-4 May 2012. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation. |