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Exploring the Use of Machine Learning to Develop a Predictive Model for Future Fire SeasonsNo abstract available
Document ID
20190000018
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
White, Andrew T. (Alabama Univ. Huntsville, AL, United States)
Hain, Christopher R. (NASA Marshall Space Flight Center Huntsville, AL, United States)
Schultz, Christopher J. (NASA Marshall Space Flight Center Huntsville, AL, United States)
Case, Jonathan L. (ENSCO, Inc. Alexandria, VA, United States)
White, Kristopher (National Weather Service Silver Spring, MD, United States)
Date Acquired
January 8, 2019
Publication Date
January 6, 2019
Subject Category
Meteorology And Climatology
Report/Patent Number
MSFC-E-DAA-TN64477
Report Number: MSFC-E-DAA-TN64477
Meeting Information
Meeting: Annual Meeting of the American Meteorological Society
Location: Phoenix, AZ
Country: United States
Start Date: January 6, 2019
End Date: January 10, 2019
Sponsors: American Meteorological Society
Funding Number(s)
WBS: WBS 389018
CONTRACT_GRANT: NNM11AA01A
CONTRACT_GRANT: NNM17AA29T
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Machine Learning
Land Surface Modeling
Wildfire

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