Address: Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, 163002, Russian Federation, Northern (Arctic) Federal University named after M.V.Lomonosov, office 1425
Phone: +7 (8182) 21-61-18 Lesnoy Zhurnal |
O.V. Skudneva, S.V. Koptev, S.V. Ivantsov Complete text of the article:Download article (pdf, 0.5MB )UDС630*432.1DOI:10.37482/0536-1036-2020-6-194-203AbstractForest fires are a common natural disaster all over the world. A great number of fires occur annually in the forest ecosystems of the European North of Russia for natural reasons and as a result of anthropogenic impacts. One of the urgent problems of forestry is the organization of effective control of forest fires. Herewith, it is important to quickly detect the source of fire, as well as to monitor the development of the fire, and to coordinate the actions of the staff of the ground forest protection services. Unmanned aerial vehicles (UAV) of different classes are increasingly used for these purposes. For forestry experience and, especially for forest fire monitoring, the most practical are helicopter-type UAV, which do not require special training of staff. Such devices can operate in the mode of “fire tower” and in the mode of monitoring the edge of the fire with an option to reset information pennants at certain points. The use of UAV is an effective means of monitoring the fire situation in addition to existing methods and technologies, and especially in cases of impossibility of using highresolution satellite images for operative tasks. For the effective operation of UAV in the area of active forest fires and, thus, strong smoke, navigation and piloting systems are necessary to perform safe flights outside the action of the ground control panel located at the starting point. The aim of this work is to develop a navigation and piloting system for UAV, which can be used in the area of limitation of ground control point. The use of such systems will allow monitoring of the fire situation in real time, which is especially important in the organization of protection and suppression of forest fires in large areas of nature reserves, where the priority is to preserve the biological diversity of natural ecosystems and unique landscapes. This article may be of interest to forestry specialists, developers of UAV and equipment, fire protection and the Ministry of Emergency Situations staff, as well as to engineering students to gain experience with UAV.AuthorsO.V. Skudneva1, Senior Lecturer; ResearcherID: V-5466-2017, ORCID: https://orcid.org/0000-0001-6387-0108S.V. Koptev2, Doctor of Agriculture, Assoc. Prof.; ORCID: https://orcid.org/0000-0002-5402-1953 S.V. Ivantsov3, Director Affiliation1Bauman Moscow State Technical University, Faculty of Fundamental Science, ul. 2-ya Baumanskaya, 5, str. 1, Moscow, 105005, Russian Federation; e-mail: chykchyk@yandex.ru2Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, 163002, Russian Federation; e-mail: s.koptev@narfu.ru 3State Autonomous Institution of the Arkhangelsk Region “Unified Forest Fire Center”, prosp. Obvodnyy kanal, 22, korp. 1, Arkhangelsk, 163060, Russian Federation; e-mail: iwantsow.s@yandex.ru Keywordsforestry, forest fire monitoring, unmanned aerial vehicle, navigation and piloting systemFor citationSkudneva O.V., Koptev S.V., Ivantsov S.V. Navigation and Piloting System of Unmanned Aerial Vehicle for Forest Fire Monitoring. Lesnoy Zhurnal [Russian Forestry Journal], 2020, no. 6, pp. 194–203. DOI: 10.37482/0536-1036-2020-6-194-203References1. Alexeenko N.A. Specific Methodological Features of Cartographic Support of the Activities of Nature Protection Areas in Russia. Vestnik Moskovskogo gosudarstvennogo universiteta. Seriya 5, Geografiya, 2014, no. 1, pp. 52–57.2. Bobrinskiy A.N., Voronov M.A., Korshchnov N.A. et al. Law enforcement and Management in Use, Protection and Reproduction of Forests. Ed. by A.P. Petrov. Moscow, Vsemirnyy bank Publ., 2017. 274 p. 3. Evdokimenko M.D. Forest Fire Causes and Distribution in the Baikal Region. Lesnoy Zhurnal [Russian Forestry Journal], 2013, no. 4, pp. 30–39. URL: http://lesnoizhurnal.ru/upload/iblock/eb9/lkh4.pdf 4. Koptev S.V., Skudneva O.V. On the Applicability of UAV in Forestry Practice. Lesnoy Zhurnal [Russian Forestry Journal], 2018, no. 1, pp. 130–135. DOI: 10.17238/issn0536-1036.2018.1.130, URL: http://lesnoizhurnal.ru/upload/iblock/0b3/130138.pdf 5. Mikova E.Yu. Construction of Visual Images of Logging Roads Using Information Technologies (Adapted from Unmanned Aerial Vehicles): Cand. Eng. Sci. Diss. Abs. Arkhangelsk, 2018. 16 p. 6. Moiseev V.S. Fundamentals of the Theory of Unmanned Aerial Vehicles Effective Use: Monograph. Kazan, Shkola Publ., 2015. 444 p. 7. Okorokova N.S., Pushkin K.V., Sevchuk S.D., Farmakovskaya A.A. The Development of the Basic Module Schemes for the Dimension-Type Series of Power Plants Based on the Air-Aluminum Chemical Current Sources. Trudy MAI, 2014, iss. 78. 8. Melehov V.I., Skudneva O.V., Gabbasov S.M., Manokhin V.I., Kornejchuk V.V., Voronitsyn V.K. et al. Aircraft Navigation and Pilotage System. Patent RF no. RU 2685572 C2, 2019. 9. Development of Scientific and Methodological Approaches and Technologies for the Use of Unmanned Aerial Vehicles in Forestry. Pushkino, 2010. 106 p. 10. Sechin A.Yu., Drakin M.A., Kiseleva A.S. Unmanned Aerial Vehicle: Application for Mapping by Aerial Photography (part 2). 2011. 11. Skudneva O.V. Unmanned Airborne Vehicles in the Forestry Sector of Russia. Lesnoy Zhurnal [Russian Forestry Journal], 2014, no. 6, pp. 150–154. URL: http://lesnoizhurnal.ru/upload/iblock/565/1-_- bespilotnye-letatelnye-apparaty-v-sisteme-lesnogo-khozyaystva-rossii.pdf 12. Getzin S., Nuske R.S., Wiegand K. Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests. Remote Sensing, 2014, vol. 6, iss. 8, pp. 6988–7004. DOI: 10.3390/rs6086988 13. Markiewicz A., Nash L. Small Unmanned Aircraft and the U.S. Forest Service: Benefits, Costs, and Recommendations for Using Small Unmanned Aircraft in Forest Service Operations. Final Report. Cambridge, MA, Volpe, 2016. 30 p. 14. Merino L., Caballero F., Martínez-de-Dios J.R., Maza I., Ollero A. An Unmanned Aircraft System for Automatic Forest Fire Monitoring and Measurement. Journal of Intelligent & Robotic Systems, 2012, vol. 65, pp. 533–548. DOI: 10.1007/s10846-011-9560-x 15. Ohmann J.L., Gregory M.J., Roberts H.M. Scale Considerations for Integrating Forest Inventory Plot Data and Satellite Image Data for Regional Forest Mapping. Remote Sensing of Environment, 2014, vol. 151, pp. 3–15. DOI: 10.1016/j.rse.2013.08.048 16. Tewkesbury A.P., Comber A.J., Tate N.J., Lamb A., Fisher P.F. A Critical Synthesis of Remotely Sensed Optical Image Change Detection Techniques. Remote Sensing of Environment, 2015, vol. 160, pp. 1–14. DOI: 10.1016/j.rse.2015.01.006 17. Zhang L., Wang B., Peng W., Li C., Lu Z., Guo Y. Forest Fire Detection Solution Based on UAV Aerial Data. International Journal of Smart Home, 2015, vol. 9, no. 8, pp. 239–250. DOI: 10.14257/ijsh.2015.9.8.25 Received on September 15, 2019 Navigation and Piloting System of Unmanned Aerial Vehicle for Forest Fire Monitoring |
Make a Submission
Lesnoy Zhurnal (Russian Forestry Journal) was awarded the "Seal of Recognition for Active Data Provider of the Year 2025" INDEXED IN:
|
|
|
|
|
|
|
|
|
|
|
|
|