Evaluation of Parametric and Non-Parametric Models in Estimating Canopy Cover Density of Zagros Forests Using Remote Sensing and Machine Learning

Evaluation of Parametric and Non-Parametric Models in Estimating Canopy Cover Density of Zagros Forests Using Remote Sensing and Machine Learning

Research Topic: Evaluation of Parametric and Non-Parametric Models in Estimating Canopy Cover Density of Zagros Forests Using Remote Sensing and Machine LearningObjective: This study aims to compare parametric and non-parametric methods for estimating the percentage of forest canopy cover in a secti...

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Bibliographic Details
Main Authors: Sajad Alimahmoodi Sarab, MohamadHadi Moayery, MOhammad Mirzavand, Shaban Shataee Jouibary, Alireza Rashki
Format: Article
Language:fas
Published: University of Terhan press 2025-06-01
Series:اکوهیدرولوژی
Subjects:
poliades
canopy cover percentage
multiple linear regression
remote sensing
artificial neural network
Online Access:https://ije.ut.ac.ir/article_102586_71e7a51b9dc6cd0dc63fac0e17a4640f.pdf
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https://ije.ut.ac.ir/article_102586_71e7a51b9dc6cd0dc63fac0e17a4640f.pdf

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