Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
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Title
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
Authors
Keywords
Spectroscopy, Soil organic carbon, Hyperspectral reflectance, Radiative transfer modeling, Machine learning, Long short-term memory, SBG
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 271, Issue -, Pages 112914
Publisher
Elsevier BV
Online
2022-02-02
DOI
10.1016/j.rse.2022.112914
References
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