COMPARISON OF FOREST STRUCTURE METRICS DERIVED FROM UAV LIDAR AND ALS DATA

17 citations as recorded by crossref.

1. Flying high: Sampling savanna vegetation with UAV‐lidar P. Boucher et al. https://doi.org/10.1111/2041-210X.14081
2. Close-Range Remote Sensing of Forest Structure for Biodiversity Assessments: A Systematic Literature Review J. Feigl et al. https://doi.org/10.1007/s40725-025-00251-x
3. UAV-enabled evaluation of forestry plantations: A comprehensive assessment of laser scanning and photogrammetric approaches R. Hartley et al. https://doi.org/10.1016/j.srs.2025.100245
4. Robust Multisource Forest Point Cloud Registration With Distribution Similarity Analysis X. Liu et al. https://doi.org/10.1109/TGRS.2025.3545448
5. Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology C. Gollob et al. https://doi.org/10.3390/rs13163129
6. Combined ground-based and UAS SfM-MVS approach for determination of geometric parameters of the large-scale industrial facility – Case study Ľ. Kovanič et al. https://doi.org/10.1016/j.measurement.2023.112994
7. Efficient and cost-effective monitoring of urban green spaces using combination of photogrammetry, LiDAR, and RTK in an iPhone-Based approach J. Výbošťok et al. https://doi.org/10.2478/forj-2025-0007
8. Assessing the effects of burn severity on post-fire tree structures using the fused drone and mobile laser scanning point clouds Y. Qi et al. https://doi.org/10.3389/fenvs.2022.949442
9. Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology C. Gollob et al. https://doi.org/10.3390/rs12091509
10. Analysis of the Suitability of High-Resolution DEM Obtained Using ALS and UAS (SfM) for the Identification of Changes and Monitoring the Development of Selected Geohazards in the Alpine Environment—A Case Study in High Tatras, Slovakia Ľ. Kovanič et al. https://doi.org/10.3390/rs12233901
11. Forest Road Wearing Course Damage Assessment Possibilities with Different Types of Laser Scanning Methods including New iPhone LiDAR Scanning Apps T. Mikita et al. https://doi.org/10.3390/f13111763
12. Comparing the abilities of traditional airborne and UAS lidar for mapping low-lying vegetation density across temperate forest types J. Jones et al. https://doi.org/10.1080/15481603.2025.2603723
13. Quantifying changes in forest structural complexity using bi-temporal airborne laser scanning R. Cimdins et al. https://doi.org/10.1080/22797254.2024.2417905
14. Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters A. Dhruva et al. https://doi.org/10.3390/f15122135
15. The Role of RPAS in Vegetation Height Estimation: Challenges and Future Perspectives in the Forestry Context F. Moreira et al. https://doi.org/10.1007/s40725-025-00248-6
16. Construction of a Precision Thinning Framework for Cunninghamia Lanceolata Plantations Driven by Point Cloud Fusion and Multi-Criteria Weighting Z. Cai et al. https://doi.org/10.1080/10549811.2026.2666522
17. New Structural Complexity Metrics for Forests from Single Terrestrial Lidar Scans J. Batchelor et al. https://doi.org/10.3390/rs15010145