Open Access
| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 7 | |
| Section | Avionics Engineering and Carbon Footprinting | |
| DOI | https://doi.org/10.1051/e3sconf/202340202008 | |
| Published online | 19 July 2023 | |
- J.G. Canadell, M.R. Raupach, Science 320, 1456-1457 ( 2008) [CrossRef] [PubMed] [Google Scholar]
- W.D. Sunderlin, S. Dewi, A. Puntodewo, D. Muller, A. Angelsen, M. Epprecht, Ecol. soc. 13, 24. Forests 2014, 5 1500 (2008) [Google Scholar]
- V. Reyes-Garcia, for. ecol. Manag. 268, 6–17. ( 2012) [CrossRef] [Google Scholar]
- D.E. Bowler, L.M. Buyung-Ali, J.R. Healey, J.P.G. Jones, T.M. Knight, A.S. Pullin, front. ecol. Environ 10, 29–36 (2011) [Google Scholar]
- H. Scheyvens, Community-Based Forest Monitoring for REDD+: Lessons and Reflections from the Field. (IGES Policy Brief; Institute for Global Environmental Strategies: Arlington, VA, USA, 2012) [Google Scholar]
- A. Larrazábal, M.K. McCall, T.H. Mwampamba, M. Skutsch, Curr. Opin. Environ. Sustain 4, 707–716 ( 2012) [CrossRef] [Google Scholar]
- M.K. McCall, Local Participation in Mapping, Measuring and Monitoring for Community Carbon Forestry. In Community Forest Monitoring for the Carbon Market: Opportunities under REDD ; Skutsch, M., Ed.; Earthscan: Oxford, UK, pp. 31–44. (2011) [Google Scholar]
- R. Aleshko, V. Berezovsky, K. Shoshina, I. Vasendina, R. Vorontsov and T. Desyatova, Development of methodology for automated determination of forest parameters based on data from unmanned aerial vehicles. In 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT), Samara, Russian Federation, pp. 1-5 (2022) https://doi.org/10.1109/ITNT55410.2022.9848783 [Google Scholar]
- J. Lisein, M. Pierrot-Deseilligny, S. Bonnet, P. Lejeune, Forests 4, 922–944 (2013) [CrossRef] [Google Scholar]
- L. Korhonen, P. Packalen and M. Rautiainen, Remote sensing of environment 195, 259-274 (2017) [CrossRef] [Google Scholar]
- A. Dietmaier, GJ McDermid, MM Rahman, J. Linke and R. Ludwig, Remote Sensing 11(16), 1919 (2019) [CrossRef] [Google Scholar]
- A.N. Kazak, N.N. Oleinikov, R.R. Timirgaleeva, M.A. Ryndach, D.V. Gorobets, AIP Conference ProceedingsVolume 2402, 070020 (2021) [CrossRef] [Google Scholar]
- A.N. Kazak, N.N. Oleinikov, M.A. Ryndach, E.A. Sergeeva, Potential and development of the Russian transport industry. IOP Conference Series: Materials Science and Engineering, 6 October 2020, 012235, 8th International Scientific Conference Transport of Siberia 918(1) (2020). [Google Scholar]
- I.V. Bychkov, G.M. Ruzhnikov, R.K. Fedorov, A.K. Popova and Y.V. Avramenko, Computer Optics 46(1), pp. 90-96 (2022) [CrossRef] [Google Scholar]
- I.Y. Grishin, R.R. Timirgaleeva, V.V. Selivanov, A.N. Kazak, E3S Web of Conferences 376, 04034 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
- EA Terekhin, Indication of long-term changes in the vegetation of agricultural abandoned lands for the forest-steppe zone using NDVI time series , Computer Optics, 45(2), pp. 245-252 (2021) [CrossRef] [Google Scholar]
- N.L. Kazanskiy, R.V. Skidanov, A.V. Nikonorov and L.L. Doskolovich, Intelligent video systems for unmanned aerial vehicles based on diffractive optics and deep learning. Proc. SPIE 11516(115161Q), (2020). [Google Scholar]
- F. Ferreira-Leite, A. Bento-Goncalves, A. Vieira, A. Nunes, and L. Lourenco. Incidence and Recurrence of Large Forest Fires in Mainland Portugal . Natural Hazards 84, 1035-1053 (2016) [CrossRef] [Google Scholar]
- M.S. Boori, K. Choudhary and A.V. Kupriyanov, Computer Optics 44(3), 409-419 (2020) [CrossRef] [Google Scholar]
- D.E. Plotnikov, P.A. Kolbudaev and S.A. Bartalev, Computer Optics 42(3), 447-456 (2018) [CrossRef] [Google Scholar]
- S.A. Bibikov, N.L. Kazanskiy and V.A. Fursov, Computer Optics 42(5), 846-854 (2018) [CrossRef] [Google Scholar]
- AT Guriev and RA Aleshko, Adapting the combined database of cartographic and attribute information of forest plantations by automating remote sensing data interpretation. Earth From Space-The most effective solutions, pp. 233-234, (2009). [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.