GeoDash: Assisting Visual Image Interpretation in Collect Earth Online by Leveraging Big Data on Google Earth Engine

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    W[2017AGUFMIN23C0099M]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (1)"]
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ADS bibcode
2017AGUFMIN23C0099M
year
2017
Listed Authors
Markert, K. N.
Ashmall, W.
Johnson, G.
Saah, D. S.
Anderson, E.
Flores Cordova, A. I.
Díaz, A. S. P.
Mollicone, D.
Griffin, R.
Listed Institutions
Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States Science Coordination Office, NASA-SERVIR, Huntsville, AL, United States
USRA, Huntsville, AL, United States; Science Coordination Office, NASA-SERVIR, Huntsville, AL, United States
Spatial Informatics Group, LLC, Pleasonton, CA, United States; SERVIR-Mekong, Bangkok, Thailand
Spatial Informatics Group, LLC, Pleasonton, CA, United States; University of San Francisco, San Francisco, CA, United States
Science Coordination Office, NASA-SERVIR, Huntsville, AL, United States; Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States
Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States; Science Coordination Office, NASA-SERVIR, Huntsville, AL, United States
Forestry Department, UN FAO, Rome, Italy
Forestry Department, UN FAO, Rome, Italy
Department of Atmospheric Science, University of Alabama in Huntsville, Huntsville, AL, United States

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