Comparison of Canopy Closure Estimation of Plantations Using Parametric, Semi-Parametric, and Non-Parametric Models Based on GF-1 Remote Sensing Images

Comparison of Canopy Closure Estimation of Plantations Using Parametric, Semi-Parametric, and Non-Parametric Models Based on GF-1 Remote Sensing Images

Canopy closure (CC) is an important parameter in forest ecosystems and has diverse applications in a wide variety of fields. Canopy closure estimation models, using a combination of measured data and remote sensing data, can largely replace traditional survey methods for CC. However, it is difficult...

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Bibliographic Details
Main Authors: Jiarui Li, Xuegang Mao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Forests
Subjects:
canopy closure
multiple linear regression model
random forest
generalized addictive model
GF-1
Online Access:https://www.mdpi.com/1999-4907/11/5/597

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