Automatic Single Tree Detection in Plantations using UAV-based Photogrammetric Point clouds

43 citations as recorded by crossref.

1. UAV-assisted heavy metal tracking in oil palm plantations: present applications and future prospects M. Rezaldi et al. 10.1080/2150704X.2023.2299268
2. Counting trees with point-wise supervised segmentation network P. Tong et al. 10.1016/j.engappai.2021.104172
3. Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management J. Vafidis et al. 10.1002/ece3.7527
4. Tree Height Estimation of Forest Plantation in Mountainous Terrain from Bare-Earth Points Using a DoG-Coupled Radial Basis Function Neural Network H. He et al. 10.3390/rs11111271
5. Assessing the Efficacy of Phenological Spectral Differences to Detect Invasive Alien Acacia dealbata Using Sentinel-2 Data in Southern Europe D. Domingo et al. 10.3390/rs15030722
6. Estimation of Genetic Parameters and Selection of Superior Genotypes in a 12-Year-Old Clonal Norway Spruce Field Trial after Phenotypic Assessment Using a UAV M. Liziniewicz et al. 10.3390/f11090992
7. Is the current state of the art of weed monitoring suitable for site‐specific weed management in arable crops? C. Fernández‐Quintanilla et al. 10.1111/wre.12307
8. Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands J. Guerra-Hernández et al. 10.3390/f8080300
9. Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models M. Aboutalebi et al. 10.3390/rs12010050
10. Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach H. Vahidi et al. 10.3390/rs10071134
11. A simple method for detection and counting of oil palm trees using high-resolution multispectral satellite imagery H. Santoso et al. 10.1080/01431161.2016.1226527
12. Precision Forestry: Trees Counting in Urban Areas Using Visible Imagery based on an Unmanned Aerial Vehicle O. Hassaan et al. 10.1016/j.ifacol.2016.10.004
13. Large-Scale Oil Palm Trees Detection from High-Resolution Remote Sensing Images Using Deep Learning H. Wibowo et al. 10.3390/bdcc6030089
14. Relationship of Date Palm Tree Density to Dubas Bug Ommatissus lybicus Infestation in Omani Orchards R. Al Shidi et al. 10.3390/agriculture8050064
15. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations J. Guerra-Hernández et al. 10.1080/01431161.2018.1486519
16. On-the-Fly Olive Tree Counting Using a UAS and Cloud Services E. Salamí et al. 10.3390/rs11030316
17. Smallholder oil palm plantation sustainability assessment using multi-criteria analysis and unmanned aerial vehicles Y. Wong et al. 10.1007/s10661-023-11113-z
18. Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling F. Jiménez-Brenes et al. 10.1186/s13007-017-0205-3
19. Environmental engineering and sustainability for smart agriculture: The application of UAV-based remote sensing to detect biodiversity in oil palm plantations A. Moreno et al. 10.1088/1755-1315/335/1/012008
20. Individualization of Pinus radiata Canopy from 3D UAV Dense Point Clouds Using Color Vegetation Indices A. Cabrera-Ariza et al. 10.3390/s22041331
21. Computer vision-based citrus tree detection in a cultivated environment using UAV imagery C. Donmez et al. 10.1016/j.compag.2021.106273
22. From Drones to Phenotype: Using UAV-LiDAR to Detect Species and Provenance Variation in Tree Productivity and Structure N. Camarretta et al. 10.3390/rs12193184
23. Unmanned Aerial Vehicle – Efficient mapping tool available for recent research in polar regions R. Stuchlík et al. 10.5817/CPR2015-2-18
24. Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest M. Mohan et al. 10.3390/f8090340
25. Estimating tree heights with images from an unmanned aerial vehicle A. Birdal et al. 10.1080/19475705.2017.1300608
26. High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials R. Díaz-Varela et al. 10.3390/rs70404213
27. Individual Tree Crown Detection and Delineation From Very-High-Resolution UAV Images Based on Bias Field and Marker-Controlled Watershed Segmentation Algorithms H. Huang et al. 10.1109/JSTARS.2018.2830410
28. Automatic Detection of Oil Palm Tree from UAV Images Based on the Deep Learning Method X. Liu et al. 10.1080/08839514.2020.1831226
29. Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV) B. Neupane et al. 10.1371/journal.pone.0223906
30. Application and Potential of Drone Technology in Oil Palm Plantation: Potential and Limitations Z. Khuzaimah et al. 10.1155/2022/5385505
31. Combining Spectral, Spatial-Contextual, and Structural Information in Multispectral UAV Data for Spruce Crown Delineation A. Harikumar et al. 10.3390/rs14092044
32. Optimizing the Sampling Area across an Old-Growth Forest via UAV-Borne Laser Scanning, GNSS, and Radial Surveying S. Sferlazza et al. 10.3390/ijgi11030168
33. Towards Spatially Explicit Quantification of Pre- and Postfire Fuels and Fuel Consumption from Traditional and Point Cloud Measurements A. Hudak et al. 10.1093/forsci/fxz085
34. Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation D. Fawcett et al. 10.1080/01431161.2019.1591651
35. Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal J. Hernandez et al. 10.5424/fs/2016252-08895
36. Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery A. Cardil et al. 10.1371/journal.pone.0213027
37. Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging J. Kurihara et al. 10.3390/rs14030799
38. Exploring UAV-imagery to support genotype selection in olive breeding programs P. Rallo et al. 10.1016/j.scienta.2020.109615
39. Calculation of Tree Height and Canopy Crown from Drone Images Using Segmentation Y. Lim et al. 10.7848/ksgpc.2015.33.6.605
40. The use of laser scanning technology of accounting for wood . Стариков et al. 10.12737/17409
41. High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques A. de Castro et al. 10.3389/fpls.2019.01472
42. Remote sensing and spatial statistical techniques for modellingOmmatissus lybicus(Hemiptera: Tropiduchidae) habitat and population densities K. Al-Kindi et al. 10.7717/peerj.3752
43. Detection of Tree Species in Mixed Broad-Leaved Stands of Caspian Forests Using UAV Images (Case study: Darabkola Forest) m. Pourahmad et al. 10.29252/ifej.6.11.61