Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana)

Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana)

The assessment of ecological functions, such as those of forest structure zoning and carbon sinks, heavily relies on forest age classification. Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data...

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Bibliographic Details
Main Authors: Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du
Format: Article
Language:English
Published: Taylor & Francis Group 2025-05-01
Series:Geo-spatial Information Science
Subjects:
Masson pine
forest age
Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR)
Sentinel-2
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2362752
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https://www.tandfonline.com/doi/10.1080/10095020.2024.2362752

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