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A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR File File

Ma, Ye , Zhao, Yuting , Im, Jungho , Zhao, Yinghui , Zhen, Zhen

Article Issue Date2024-02 View57
A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests File

Ma, Ye , Im, Jungho , Zhen, Zhen , Zhao, Yinghui

Article Issue Date2025-03 View8
An innovative lightweight 1D-CNN model for efficient monitoring of large-scale forest composition: a case study of Heilongjiang Province, China File File

Ma, Ye , Zhen, Zhen , Li, Fengri , Feng, Fujuan , Zhao, Yinghui

Article Issue Date2023-12 View26
Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach File File

Wang, Man , Im, Jungho , Zhao, Yinghui , Zhen, Zhen

Article Issue Date2022-09 View53
Novel Features of Canopy Height Distribution for Aboveground Biomass Estimation Using Machine Learning: A Case Study in Natural Secondary Forests File File

Ma, Ye , Zhang, Lianjun , Im, Jungho , Zhao, Yinghui , Zhen, Zhen

Article Issue Date2023-09 View43
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data File

Zhao, Yuting , Im, Jungho , Zhen, Zhen , Zhao, Yinghui

Article Issue Date2023-12 View76
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