Estimation of Tree Canopy Closure Based on U-Net Image Segmentation and Machine Learning Algorithms

Estimation of Tree Canopy Closure Based on U-Net Image Segmentation and Machine Learning Algorithms

Canopy closure is a critical indicator reflecting forest structure, biodiversity, and ecological balance. This study proposes an estimation method integrating U-Net segmentation with machine learning, significantly improving accuracy through multi-source remote sensing data and feature selection. Co...

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Bibliographic Details
Main Authors: Yuefei Zhou, Jinghan Wang, Zengjing Song, Miaohang Zhou, Mengnan Lv, Xujun Han
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
canopy closure
machine learning
high-resolution aerial imagery
U-Net
Online Access:https://www.mdpi.com/2072-4292/17/11/1828
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