Open AccessRealizing Machine Learning’s Promise in Geoscience Remote Sensing
Author(s) -
David Thompson,
Philip G. Brodrick
Publication year - 2021
Publication title -
eos
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2021eo160605
Subject(s) - earth science , remote sensing , computer science , data science , astrobiology , environmental science , geology , physics
Machine learning and signal processing methods offer significant benefits to the geosciences, but realizing this potential will require closer engagement among different research communities.
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