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Introduction to Analysis Methods for Big Earth DataBig Earth Data are too big to be tractable to simple data inspection and require models to make sense of all the data. Useful models for Big Earth Data may be physical, statistical, or machine learning based. In many cases, hybrid models combine attributes of two or more of these types.
Document ID
20180007810
Acquisition Source
Goddard Space Flight Center
Document Type
Book Chapter
Authors
Lynnes, Christopher S.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
November 21, 2018
Publication Date
October 26, 2018
Publication Information
Publisher: American Geophysical Union
Subject Category
Geosciences (General)
Computer Systems
Report/Patent Number
GSFC-E-DAA-TN62571
Report Number: GSFC-E-DAA-TN62571
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
parallel processing (computers)
machine learning
statistical analysis
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