Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through Machine Learning

Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through Machine Learning

Estimating gross primary productivity (GPP) is important for simulating the subsequent carbon cycle elements and assessing the capacity of terrestrial ecosystems to support the sustainable development of human society. Light use efficiency (LUE) models were widely used to estimate GPP due to their c...

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Bibliographic Details
Main Authors: Daqian Kong, Dekun Yuan, Haojie Li, Jiahua Zhang, Shanshan Yang, Yue Li, Yun Bai, Sha Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
light use efficiency
gross primary productivity
machine learning
Online Access:https://www.mdpi.com/2072-4292/15/8/2086

Internet

https://www.mdpi.com/2072-4292/15/8/2086

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