Sub-meter tree height mapping of California using aerial images and LiDAR-informed U-Net model
Most Cited Paper
in Forest ecology and management
18 Months Post-Publication
Class of 2026
“Sub-meter tree height mapping of California using aerial images and LiDAR-informed U-Net model”
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Topics
canopy height · U-Net model · USDA-NAIP aerial imagery · Sub-meter spatial resolution · canopy height · RGB-NIR imagery · California forest mapping · Sub-meter spatial resolution · canopy height · forest structural complexity · LiDAR-informed training · deep learning for forestry · canopy height · biomass estimation · nadir-looking optical imagery · 50 m height range without saturation · tree cover mapping
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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