Impact of Modeling Abstractions When Estimating Leaf Mass per Area and Equivalent Water Thickness over Sparse Forests Using a Hybrid Method

Impact of Modeling Abstractions When Estimating Leaf Mass per Area and Equivalent Water Thickness over Sparse Forests Using a Hybrid Method

Equivalent water thickness (EWT) and leaf mass per area (LMA) are important indicators of plant processes, such as photosynthetic and potential growth rates and health status, and are also important variables for fire risk assessment. Retrieving these traits through remote sensing is challenging and...

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Bibliographic Details
Main Authors: Thomas Miraglio, Margarita Huesca, Jean-Philippe Gastellu-Etchegorry, Crystal Schaaf, Karine R. M. Adeline, Susan L. Ustin, Xavier Briottet
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
DART
random forest
hyperspectral
open canopy
lidar
EWT
Online Access:https://www.mdpi.com/2072-4292/13/16/3235

Internet

https://www.mdpi.com/2072-4292/13/16/3235

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