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...
Gorde:
| Egile Nagusiak: | , , , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2025-05-01
|
| Saila: | Remote Sensing |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2072-4292/17/11/1828 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|