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End-to-End Machine Learning Applications Framework for Earth ScienceNo abstract available
Document ID
20200000761
Acquisition Source
Marshall Space Flight Center
Document Type
Poster
Authors
Freitag, Brian (Alabama Univ. Huntsville, AL, United States)
Acharya, Ashish (Alabama Univ. Huntsville, AL, United States)
Ramasubramanian, Muthukumaran (Alabama Univ. Huntsville, AL, United States)
Priftis, George (Alabama Univ. Huntsville, AL, United States)
Kaulfus, Aaron (Alabama Univ. Huntsville, AL, United States)
Gurung, Iksha (Alabama Univ. Huntsville, AL, United States)
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL, United States)
Ramachandran, Rahul (NASA Marshall Space Flight Center Huntsville, AL, United States)
Bollinger, Drew (Development Seed Washington, DC, United States)
Date Acquired
February 5, 2020
Publication Date
December 9, 2019
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
MSFC-E-DAA-TN76027
Meeting Information
Meeting: AGU Fall Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 9, 2019
End Date: December 13, 2019
Sponsors: American Geophysical Union (AGU)
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert

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