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Sangyoon Park

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Open access Sep 2026

A Unified Framework for Individual Tree Segmentation and Forest Biometrics Derivation from LiDAR Point Clouds Captured by Different Platforms in Diverse Forest Environments

Light Detection and Ranging (LiDAR)-based forest inventory increasingly relies on diverse platforms, ranging from proximal systems including BackPack, All-Terrain Vehicle (ATV), and terrestrial laser scanning (TLS) to near-proximal systems such as uncrewed aerial vehicles (UAVs). However, differences in point density,...

Hazem Hanafy, Sangyoon Park, Song-Lin Fei et al. · 0 citations
Review Open access Jul 2026

Deep Learning Applications in Remote Sensing for Forest Inventory Methods

This review synthesizes deep learning applications in forest inventory methods across three tasks: tree counting and localization, tree species identification, and tree measurement and outlines future directions for improving scalability and applicability in forest monitoring and management.

C. Ardohain, D. Choi, Katie A. Grong et al. · 1 citation

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