Estimation of Oak Leaf Functional Traits for California Woodland Savannas and Mixed Forests: Comparison between Statistical, Physical, and Hybrid Methods Using Spectroscopy

Estimation of Oak Leaf Functional Traits for California Woodland Savannas and Mixed Forests: Comparison between Statistical, Physical, and Hybrid Methods Using Spectroscopy

Key leaf functional traits, such as chlorophyll and carotenoids content (C<sub>ab</sub> and C<sub>xc</sub>), equivalent water thickness (EWT), and leaf mass per area (LMA), are essential to the characterization and monitoring of ecosystem function. Spectroscopy provides acces...

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Bibliographic Details
Main Authors: Thierry Gaubert, Karine Adeline, Margarita Huesca, Susan Ustin, Xavier Briottet
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
oak ecosystems
leaf functional traits
seasonality
inversion methods
PROSPECT
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/1/29

Internet

https://www.mdpi.com/2072-4292/16/1/29

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