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. 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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3. 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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4. 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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5. 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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6. 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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7. 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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8. 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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9. 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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10. 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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11. 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.
Link to PDF |
12. 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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| 13. 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. |
| 14. 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. |
15. 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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| 16. 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. |
17. 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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18. 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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| 19. 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. |
20. 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,
Link to PDF |
| 21. 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. |
| 22. 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. |
23. 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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| 24. 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. |
25. 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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