Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images

Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images

Sugarcane croplands account for ~70% of global sugar production and ~60% of global ethanol production. Monitoring and predicting gross primary production (GPP) and transpiration (T) in these fields is crucial to improve crop yield estimation and management. While moderate-spatial-resolution (MSR, hu...

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Bibliographic Details
Main Authors: Jorge Celis, Xiangming Xiao, Paul M. White, Osvaldo M. R. Cabral, Helber C. Freitas
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
crop
photosynthesis
remote sensing
model
precision farming
Online Access:https://www.mdpi.com/2072-4292/16/1/46

Internet

https://www.mdpi.com/2072-4292/16/1/46

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