Open Access
Issue
E3S Web Conf.
Volume 669, 2025
6th International Conference on Environmental Design and Health (ICED2025)
Article Number 04005
Number of page(s) 7
Section Ecology-Ecosystems
DOI https://doi.org/10.1051/e3sconf/202566904005
Published online 26 November 2025
  1. L. Wang, F. Wei, T. Tagesson, Z. Fang, J.-C. Svenning, Transforming forest management through rewilding: Enhancing biodiversity, resilience, and biosphere sustainability under global change. One Earth 8, 101195 (2025). https://doi.org/10.1016/j.oneear.2025.101195 [Google Scholar]
  2. A.Y.A. Abdelmajeed, R. Juszczak, Challenges and limitations of remote sensing applications in northern peatlands: Present and future prospects. Remote Sens. 16, 591 (2024). https://doi.org/10.3390/rs16030591 [Google Scholar]
  3. B. Furby, R. Akhavian, A comprehensive comparison of photogrammetric and RTK-GPS methods for general order land surveying. Buildings 14, 1863 (2024). https://doi.org/10.3390/buildings14061863 [Google Scholar]
  4. D. Ngo, H. Nguyen, K. Nguyen, C. Dang, H. Nguyen, N. Dang, T. Pham, Application of multispectral UAV to estimate mangrove biomass in Vietnam: A case study in Dong Rui commune. Quang Ninh Province, One Ecosyst. 8, e103760 (2023). https://doi.org/10.3897/oneeco.8.e103760 [Google Scholar]
  5. Z. Zhang, L. Zhu, A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications. Drones 7, 398 (2023). https://doi.org/10.3390/drones7060398 [Google Scholar]
  6. P. Radoglou-Grammatikis, P. Sarigiannidis, T. Lagkas, I. Moscholios, A compilation of UAV applications for precision agriculture, Comput. Netw. 172, 107148 (2020). https://doi.org/10.1016/j.comnet.2020.107148 [Google Scholar]
  7. F. Nex, F. Remondino, UAV for 3D mapping applications: A review, Appl. Geomatics 6, 1–15 (2014). https://doi.org/10.1007/s12518-013-0120-x [Google Scholar]
  8. C.S. Watson, J.S. Kargel, B. Tiruwa, UAV-derived Himalayan topography: Hazard assessments and comparison with global DEM products. Drones 3, 18 (2019). https://doi.org/10.3390/drones3010018 [Google Scholar]
  9. J. Lisein, M. Pierrot-Deseilligny, S. Bonnet, P. Lejeune, A photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery. Forests 4, 922–944 (2013). https://doi.org/10.3390/f4040922 [CrossRef] [Google Scholar]
  10. R. Gini, D. Passoni, L. Pinto, G. Sona, Use of unmanned aerial systems for multispectral survey and tree classification: A test in a park area of northern Italy, Eur. J. Remote Sens. 47, 251–269 (2014). https://doi.org/10.5721/EuJRS20144716 [Google Scholar]
  11. G. Caruso, P.J. Zarco-Tejada, V. González-Dugo, M. Moriondo, L. Tozzini, G. Palai, G. Rallo, A. Hornero, J. Primicerio, R. Gucci, High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes. PLOS ONE 14, e0210804 (2019). https://doi.org/10.1371/journal.pone.0210804 [Google Scholar]
  12. H. Tian, X. Fang, Y. Lan, C. Ma, H. Huang, X. Lu, D. Zhao, H. Liu, Y. Zhang, Extraction of citrus trees from UAV remote sensing imagery using YOLOv5s and coordinate transformation. Remote Sens. 14, 4208 (2022). https://doi.org/10.3390/rs14174208 [Google Scholar]
  13. H. Wen, J. Hu, F. Xiong, C. Zhang, C. Song, X. Zhou, A random forest model for seismic-damage buildings identification based on UAV images coupled with RFE and object-oriented methods, Nat. Hazards 119, 1751–1769 (2023). https://doi.org/10.1007/s11069- 023-06186-5 [Google Scholar]
  14. G. Kolkos, A. Stergiadou, A. Kantartzis, S. Tampekis, G. Arabatzis, Effects of forest roads and an assessment of their disturbance of the natural environment based on GIS spatial multi-criteria analysis: Case study of the University Forest of Taxiarchis, Chalkidiki, Greece, Euro-Mediterr. J. Environ. Integr. 8, 425–440 (2023). https://doi.org/10.1007/s41207-023-00362-6 [Google Scholar]
  15. A.E. Akay, H. Oğuz, I.R. Karas, K. Aruga, Using LiDAR technology in forestry activities, Environ. Monit. Assess. 151, 117–125 (2009). https://doi.org/10.1007/s10661-008-0254-1 [Google Scholar]

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