INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND

26 citations as recorded by crossref.

1. Unmanned Aerial Vehicle–Light Detection and Ranging-Based Individual Tree Segmentation in Eucalyptus spp. Forests: Performance and Sensitivity Y. Yan et al. 10.3390/f15010209
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5. Estimation of Northern Hardwood Forest Inventory Attributes Using UAV Laser Scanning (ULS): Transferability of Laser Scanning Methods and Comparison of Automated Approaches at the Tree- and Stand-Level B. Vandendaele et al. 10.3390/rs13142796
6. Using Unoccupied Aerial Systems (UAS) and Structure-from-Motion (SfM) to Measure Forest Canopy Cover and Individual Tree Height Metrics in Northern California Forests A. Kelly et al. 10.3390/f16040564
7. Individual Tree Identification and Segmentation in Pinus spp. Stands through Portable LiDAR A. Solares-Canal et al. 10.3390/f15071133
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17. The Use of an Airborne Laser Scanner for Rapid Identification of Invasive Tree Species Acer negundo in Riparian Forests D. Mielczarek et al. 10.3390/rs15010212
18. UAV-Based LiDAR Scanning for Individual Tree Detection and Height Measurement in Young Forest Permanent Trials F. Rodríguez-Puerta et al. 10.3390/rs14010170
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20. Canopy Top, Height and Photosynthetic Pigment Estimation Using Parrot Sequoia Multispectral Imagery and the Unmanned Aerial Vehicle (UAV) V. Kopačková-Strnadová et al. 10.3390/rs13040705
21. Quantifying the Accuracy of UAS-Lidar Individual Tree Detection Methods Across Height and Diameter at Breast Height Sizes in Complex Temperate Forests B. Fraser et al. 10.3390/rs17061010
22. Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring B. Savinelli et al. 10.3390/drones8120744
23. Individual Tree Crown Segmentation in Two-Layered Dense Mixed Forests from UAV LiDAR Data C. Torresan et al. 10.3390/drones4020010
24. Mapping Tree Canopy in Urban Environments Using Point Clouds from Airborne Laser Scanning and Street Level Imagery F. Rodríguez-Puerta et al. 10.3390/s22093269
25. TreeSeg—A Toolbox for Fully Automated Tree Crown Segmentation Based on High-Resolution Multispectral UAV Data S. Speckenwirth et al. 10.3390/rs16193660
26. Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low-Density Airborne Laser Scanning A. Nemmaoui et al. 10.3390/rs16213974