TEMPL: a Multi-Platform LiDAR Dataset of a Temperate Forest in the Eastern United States
Sangyoon Park, Z. Horve, Cameron Wingren et al.
· 0 citations
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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
A forest inventory pipeline for individual tree segmentation and the derivation of key forest biometrics including tree location and diameter at breast height (DBH) across heterogeneous LiDAR datasets is proposed using a confidence-guided, multi-stage quality control framework.
Hazem Hanafy, Sangyoon Park, Song-Lin Fei et al.
· Remote Sensing · 1 citation
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.
· Remote Sensing · 1 citation