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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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2025-05-01
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| Collection: | Remote Sensing |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2072-4292/17/11/1828 |
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