Gap-Filling of Surface Fluxes Using Machine Learning Algorithms in Various Ecosystems
Five machine learning (ML) algorithms were employed for gap-filling surface fluxes of CO<sub>2</sub>, water vapor, and sensible heat above three different ecosystems: grassland, rice paddy field, and forest. The performance and limitations of these ML models, which are support vector mac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
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| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/12/12/3415 |