TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
Most Cited Paper
in Forest ecology and management
18 Months Post-Publication
Class of 2026
“TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
TreeLearn · individual tree detection · point cloud · terrestrial laser scanning · mobile laser scanning · deep learning segmentation · individual tree detection · Lidar360 software · benchmark forest dataset · manual tree annotation · Wytham Woods · deep learning segmentation · ForAINet · TLS2Trees · fine-tuning with manual annotations · data-driven segmentation · individual tree detection · individual tree detection
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026. https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026. Accessed 2026-07-23. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459