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High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA.

, , , , , and . Remote. Sens., 14 (4): 935 (2022)

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DeepTree: Modeling Trees with Situated Latents., , , , and . CoRR, (2023)M2fNet: Multi-Modal Forest Monitoring Network on Large-Scale Virtual Dataset., , , , , , and . VR Workshops, page 539-543. IEEE, (2024)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)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)High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA., , , , , and . Remote. Sens., 14 (4): 935 (2022)Hotspot detection for chestnut oak regeneration.. DG.O, volume 89 of ACM International Conference Proceeding Series, page 243-244. Digital Government Research Center, (2005)Linking Landsat to terrestrial LiDAR: Vegetation metrics of forest greenness are correlated with canopy structural complexity., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)CentralBark Image Dataset and Tree Species Classification Using Deep Learning., , , , , and . Algorithms, 17 (5): 179 (May 2024)In Situ Calibration and Trajectory Enhancement of UAV and Backpack LiDAR Systems for Fine-Resolution Forest Inventory., , , , , and . Remote. Sens., 15 (11): 2799 (2023)