76. Reid, J. S.; Prins, E.; Westphal, D.; Richardson, K.; Christopher, S.; Schmidt, C.; Theisen, M.; Eck. T. and Reid, E. A.. The Fire Locating and Modeling of Burning Emissions (FLAMBE) Project. Washington, DC, American Geophysical Union, 2001, Abstract A21A-0051.
77. Reid, Jeffrey S.; Hyer, Edward J.; Prins, Elaine M.; Westphal, Douglas L.; Zhang, Jianglong; Wang, Jun; Christopher Sundar A.; urtis, Cynthia A.; Schmidt, Christopher C.; Eleuterio, Daniel P.; Richardson, Kim A. and Hoffman, Jay P.. Global monitoring and forecasting of biomass-burning smoke: Description of and lessons from the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 2, Issue: 3, 2009, pp.144-162. Reprint # 6170.
78. Reid, Jeffrey S.; Prins, Elaine M.; Westphal, Douglas L.; Schmidt, Christopher C.; Richardson, Kim A.; Christopher, Sundar A.; Eck, Thomas F.; Reid, Elizabeth A.; Curtis, Cynthia A. and Hoffman, Jay P.. Real-time monitoring of South American smoke particle emissions and transport using a coupled remote sensing/box-model approach. Geophysical Research Letters, Volume: 31, Issue: 6, 2004, doi:10.1029/2003GL018845. Reprint # 4923.
79. Schmidt, C. C.; Prins, E. M. and Feltz, J.. The GOES Wildfire Automated Biomass Burning Algorithm processing system. Washington, DC, American Geophysical Union, 2002, Abstract A21B-07.
80. Schmidt, Christopher. AAA: Ozone detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.
81. Schmidt, Christopher C.. GOES-R AWG Land Team: Fire detection and characterization. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.
82. Schmidt, Christopher C.. Fire detection in the age of GOES-R. Boston, MA, American Meteorological Society, 2017, Abstract 15.5.
83. Schmidt, Christopher C.. Current and future geostationary fire monitoring with the WF-ABBA. Raleigh, NC, National Weather Association, 2004, abstract.
84. Schmidt, Christopher C. and Prins, Elaine M.. GOES wildfire ABBA applications in the Western Hemisphere. Boston, MA, American Meteorological Society, 2003, Paper P7.5. Reprint # 3892.
85.
Schmidt, Christopher C.; Hoffman, Jay; Prins, Elaine and Lindstrom, Scott. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for fire/hot spot characterization. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.S4. Link to PDF
86. Schmidt, Christopher C.; Li, Jun and Wimmers, Anthony J.. Case studies using hourly real-time GOES sounder ozone estimates. Boston, MA, American Meteorological Society, 2001, pp.346-347. Reprint # 2975.
87. Schmidt, Christopher C.; Lindstrom, S.; Hoffman, J.; Brunner, J. and Prins, E. M.. GOES-R ABI fire detection and monitoring development activities. Boston, MA, American Meteorological Society, 2008, Abstract P1.37.
88. Schmidt, Christopher C.; Prins, E. M.; Brunner, J. C.; Hoffman, J. P.; Lindstrom, S. S. and Feltz, J. M.. Geostationary detection of fires and the global and long-term datasets of the WF_ABBA. Boston, MA, American Meteorological Society, 2009, Abstract J15.4.
89. Schmidt, Christopher C.; Prins, E. M.; Hyer, E.; Hoffman, J. P.; Brunner, J. and Reid, J. S.. The global geostationary Wildfire ABBA: Current implementation and future plans. Boston, MA, American Meteorological Society, 2012, Abstract 165.
90.
Schmidt, Christopher; Csiszar, Ivan and Schroeder, Wilfrid. GOES-R AWG product validation tool development: Fire Detection and Characterization Application Team. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 16 slides. Link to PPT
91. Schmidt, Christopher; Hoffman, J. P. and Prins, E. M.. Detection and characterization of biomass burning in the GOES-R era. Boston, MA, American Meteorological Society (AMS), 2011, Abstract 569.
92.
Schmidt, Christopher; Prins, Elaine; Hoffman, Jay; Lindstrom, Scott; Brunner, Jason and Feltz, Joleen. GOES-R ABI fire detection and monitoring with the WildFire ABBA. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, poster presentation. Link to PDF
93. Schmit, Timothy J.; Li, Jun; Gunshor, Mathew M.; Schmidt, Christopher C.; Menzel, W. P.; Gurka, James and Sieglaff, Justin. Study of the Advanced Baseline Imager (ABI) on the GOES-R and beyond. Boston, MA, American Meteorological Society, 2004, Paper 14.2. Reprint # 3632.
94. Schmit, Timothy J.; Li, Jun; Gunshor, Mathew M.; Schmidt, Christopher C.; Menzel, W. Paul; Gurka, James and Sieglaff, Justin. Geostationary imagers upgrades for 2015 timeframe. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2004, Paper NOAA-WP-29. 14p. Reprint # 4387.
95.
Schmit, Timothy J.; Prins, Elaine M.; Schreiner, Anthony J. and Gurks, James J.. Introducing the GOES-M imager. National Weather Digest, Volume: 25, Issue: 3, 2001, pp.28-37. Reprint # 3238. Link to PDF
96. Schroeder, W.; Ruminski, M.; Csiszar, I.; Giglio, L.; Prins, E.; Schmidt, C. and Morisette, J.. Validation analyses of an operational fire monitoring product: The Hazard Mapping System. International Journal of Remote Sensing, Volume: 29, Issue: 20, 2008, pp.6059-6066. Reprint # 6019.
97. Schroeder, Wilfrid; Csiszer, I.; Prins, E. M.; Schmidt, C. C. and Ruminski, M. G.. Validating GOES active fire detection product using ASTER and ETM+. Boston, MA, American Meteorological Society, 2008, Abstract P1.36.
98. Schroeder, Wilfrid; Csiszer, Ivan; Giglio, Louis and Schmidt, Christopher C.. On the use of fire radiative power, area, and temperature estimates to characterize biomass burning via moderate to coarse spatial resolution remote sensing data in the Brazilian Amazon. Journal of Geophysical Research-Atmospheres, Volume: 115, 2010, doi:10/1029/2009GJ013769. Reprint # 6377.
99.
Schroeder, Wilfrid; Csiszer, Ivan; Giglio, Louis; Morisette, Jeff; Prins, Elaine; Schmidt, Chris and Justice, Chris. GOES active fire products validation using high resolution data. College Park, MD, University of Maryland, Global Observation of Forest and Land Cover Dynamics (GOFC-GOLD), 2006, PowerPoint presentation. 26 slides. Link to PDF
100. Schroeder, Wilfrid; Prins, Elaine; Giglio, Louis; Csiszar, Ivan; Schmidt, Christopher; Morisette, Jeffrey and Morton, Douglas. Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data. Remote Sensing of Environment, Volume: 112, Issue: 5, 2008, pp.2711-2726. Reprint # 6020.