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DeepTree: Modeling Trees with Situated Latents., , , , and . CoRR, (2023)Identification of understory invasive exotic plants with remote sensing in urban forests., , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Radiometric And Geometric Approach For Major Woody Parts Segmentation In Forest Lidar Point Clouds., , , , , and . IGARSS, page 6220-6223. IEEE, (2023)Hotspot detection for chestnut oak regeneration.. DG.O, volume 89 of ACM International Conference Proceeding Series, page 243-244. Digital Government Research Center, (2005)High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA., , , , , and . Remote. Sens., 14 (4): 935 (2022)A Robust Stepwise Clustering Approach to Detect Individual Trees in Temperate Hardwood Plantations using Airborne LiDAR Data., , and . Remote. Sens., 15 (5): 1241 (March 2023)Linking Landsat to terrestrial LiDAR: Vegetation metrics of forest greenness are correlated with canopy structural complexity., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping., , , , and . Remote. Sens., 14 (17): 4274 (2022)Comparative Evaluation of a Newly Developed Trunk-Based Tree Detection/Localization Strategy on Leaf-Off LiDAR Point Clouds with Varying Characteristics., , , , , , and . Remote. Sens., 14 (15): 3738 (2022)In Situ Calibration and Trajectory Enhancement of UAV and Backpack LiDAR Systems for Fine-Resolution Forest Inventory., , , , , and . Remote. Sens., 15 (11): 2799 (2023)