Open Access
Issue
E3S Web Conf.
Volume 542, 2024
Green Horizon 2024: International Forum on Energy Management, Ecological Innovation, and Agro-Industrial Practices (YIFHG 2024)
Article Number 04003
Number of page(s) 19
Section Climate Science and Resource Management
DOI https://doi.org/10.1051/e3sconf/202454204003
Published online 27 June 2024
  1. N. C. Coops, P. Tompalski, T. R. Goodbody, A. Achim, C. Mulverhill, Forestry 96(1), 1–19 (2023) [CrossRef] [Google Scholar]
  2. F. E. Fassnacht, J. C. White, M. A. Wulder, E. Næsset, Forestry: An International Journal of Forest Research 97(1), 11–37 (2024) [CrossRef] [Google Scholar]
  3. S. Illarionova, A. Trekin, V. Ignatiev, I. Oseledets, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 1810–1820 (2020) [Google Scholar]
  4. A. Hościło, A. Lewandowska, Remote Sensing 11(8), 929 (2019) [CrossRef] [Google Scholar]
  5. X. Yuan, Y. Liang, W. Feng, J. Li, H. Ren, S. Han, M. Liu, Remote Sensing 15(20), 5026 (2023) [CrossRef] [Google Scholar]
  6. S. Illarionova, D. Shadrin, V. Ignatiev, S. Shayakhmetov, A. Trekin, I. Oseledets, IEEE Access 10, 34116–34132 (2022) [CrossRef] [Google Scholar]
  7. R. Guliaev, V. Cazcarra-Bes, M. Pardini, K. Papathanassiou, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 3084–3094 (2021) [CrossRef] [Google Scholar]
  8. P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M. C. Hansen, A. Kommareddy, M. Hofton, Remote Sensing of Environment 253, 112165 (2021) [CrossRef] [Google Scholar]
  9. J. Bohlin, J. Wallerman, J. E. Fransson, Scandinavian Journal of Forest Research 27(7), 692–699 (2012) [CrossRef] [Google Scholar]
  10. Zhang, M.F. Rosenfield, C.C. Jakovac, D.L. Vieira, L. Poorter, P.H. Brancalion, I.C. Vieira, R.C. Mesquita et al., Biological Reviews 98(2), 662–676 (2023) [Google Scholar]
  11. W. Khunrattanasiri, “Application of Remote Sensing Vegetation Indices for Forest Cover Assessments”, in Concepts and Applications of Remote Sensing in Forestry (Springer Nature Singapore, Singapore, 2023), pp. 153–166 [Google Scholar]
  12. J. R. Padilla-Martínez, C. Paul, K. Husmann, J. J. Corral-Rivas, K. von Gadow, Forest Ecosystems 11, 100158 (2024) [CrossRef] [Google Scholar]
  13. S. Janssen, H. Pretzsch, A. Bürgi, L. Ramstein, L. G. Bont, Forest Ecology and Management 532, 120795 (2023) [CrossRef] [Google Scholar]
  14. L. Guo, Y. Wu, L. Deng, P. Hou, J. Zhai, Y. Chen, Remote Sensing 15(12), 2995 (2023) [CrossRef] [Google Scholar]
  15. S. Illarionova, D. Shadrin, P. Tregubova, V. Ignatiev, A. Efimov, I. Oseledets, E. Burnaev, Remote Sensing 14(22), 5861 (2022) [CrossRef] [Google Scholar]
  16. Sentinel Hub, https://www.sentinel-hub.com (accessed on 15.11.2023) [Google Scholar]
  17. S. Skakun et al., Remote Sensing of Environment 274, 112990 (2022) [CrossRef] [Google Scholar]
  18. L. Huang et al., “Normalization techniques in training DNNs: Methodology, analysis and application”, in IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) [Google Scholar]
  19. I. Mirpulatov, S. Illarionova, D. Shadrin, E. Burnaev, “Pseudo-labeling approach for land cover classification through remote sensing observations with noisy labels”, in IEEE Access (2023) [Google Scholar]
  20. O. Ronneberger, P. Fischer, T. Brox, “U-net: Convolutional networks for biomedical image segmentation”, in Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015 (Springer International Publishing, 2015) [Google Scholar]
  21. PyTorch Lightning, https://lightning.ai/docs/pytorch/stable/ (accessed on 15.11.2023) [Google Scholar]
  22. PyTorch, https://pytorch.org/ (accessed on 15.11.2023) [Google Scholar]
  23. Albumentations: Fast and flexible image augmentations, https://albumentations.ai/ (accessed on 15.11.2023) [Google Scholar]
  24. S. Nesteruk, S. Illarionova, A. Somov, “Image Dataset Augmentation A Survey and Taxonomy”, in Measurements and Instrumentation for Machine Vision, pp. 110–136 [Google Scholar]
  25. L. Prokhorenkova et al., Advances in neural information processing systems 31 (2018) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.