Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations

Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations

Leaf equivalent water thickness (EWT) and dry matter content (expressed as leaf mass per area (LMA)) are two critical traits for vegetation function monitoring, crop yield estimation, and precise agriculture management. Data-driven methods are widely used for remote sensing of leaf EWT and LMA becau...

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Bibliographic Details
Main Authors: Bin Yang, Hui Lin, Yuhao He
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
leaf equivalent water thickness
leaf mass per area
data-driven method
machine learning
vegetation index
LOPEX and ANGERS
Online Access:https://www.mdpi.com/1424-8220/20/18/5394

Internet

https://www.mdpi.com/1424-8220/20/18/5394

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