350 rub
Journal Science Intensive Technologies №5 for 2024 г.
Article in number:
Prospects for the use of moisture-temperature UAV metrics to assess the state of land-use territories in planning and conducting spring field work
Type of article: scientific article
DOI: https://doi.org/10.18127/j19998465-202405-05
UDC: 621.382
Authors:

N.F. Khokhlov1, A.G. Gudkov2, I.A. Sidorov3, S.V. Chizhikov4, S.V. Agasieva5

1–4 Bauman Moscow State Technical University (Moscow, Russia)
4Technological innovations Ltd. (Moscow, Russia)
5 Peoples' Friendship University of Russia n. a. Patrice Lumumba (Moscow, Russia)
1 hohlov@rgau-msha.ru, 2 profgudkov@gmail.com, 3 igorasidorov@yandex.ru, 4 chigikov95@mail.ru,
5 agasieva-sv@rudn.ru

Abstract:

In the Central region of the Russian Federation, the favorable period for spring field work is short, but extremely important for obtaining the planned harvest. The possibility of tillage is mainly determined by its humidity after snowmelt. For the preparation and adjustment of plans for mechanized work, operational georeferenced information on the hydrological state of the soil in the land-use area is necessary, for which moisture-temperature UAV-metry can be used.

Purpose to evaluate the possibility of using the data obtained by multisensory UAV-s during the survey of agricultural landscapes to identify economically significant hydrological heterogeneity of territories.

Agricultural landscapes in the Yuriev-Polsky district of the Vladimir region on gray forest loams and in the Shatura district of the Moscow region on sod-podzolic and podzolic sandy soils were examined. Their significant hydrological heterogeneity has been revealed, including local waterlogged areas with different causes of water stagnation. It is established that the dynamics of the hydrology of fields and the network of country roads are closely related.

The use of UAV sensing data will help to eliminate the problem of difficult passage to the fields by carrying out appropriate measures and establishing the correct order of processing of land plots.

To obtain the necessary information by agricultural enterprises, interdepartmental cooperation of the Ministry of Agriculture, the Ministry of Ecology, the Ministry of Forestry, AVTODOR, the Ministry of Emergency Situations, Energy Networks, as well as the use of the “Digital Earth system” is promising.

The inclusion of moisture-temperature UAV-s in the production system – a plan for the preparation and conduct of spring field work, opens up new opportunities for their high-quality performance due to the timely identification of risk areas and appropriate adjustments. The priority object of the development application at the first stage should be considered roads – a key factor for rural areas.

Pages: 55-67
For citation

Khokhlov N.F., Gudkov A.G., Sidorov I.A., Chizhikov S.V., Agasieva S.V. Prospects for the use of moisture-temperature UAV metrics to assess the state of land-use territories in planning and conducting spring field work. Science Intensive Technologies. 2024. V. 25.
№ 5. P. 55−67. DOI: https://doi.org/ 10.18127/j19998465-202405-05 (in Russian)

References
  1. Gushchina V.A., Haritonova T.V. Setevoe planirovanie vesenne-polevyh rabot v rastenievodstve. Niva Povolzh'ya. 2014. № 3 (32). S. 1–8. URL: https://cyberleninka.ru/article/n/setevoe-planirovanie-vesenne-polevyh-rabot-v-rastenievodstve/viewer (in Russian).
  2. Novichihin E. P., Hohlov N. F., Bolotov A. G., Sidorov I.A., Gudkov A.G. i dr. Evristicheskij i prikladnoj potencial sovmeshcheniya mikrovolnovogo vlazhnostno-temperaturnogo zondirovaniya pochvy i fotos"emki v facial'no-differencirovannyh agrogeosistemah. Zhurnal radioelektroniki. 2022. № 11. DOI: 10.30898/1684-1719.2022.11.18 (in Russian).
  3. Kosmicheskij monitoring v sel'skom hozyajstve. URL: https://sovzond.ru/files/bro%D1%81hure-sx.pdf (in Russian).
  4. Informacionnaya sistema. Pochvenno-geograficheskaya baza dannyh Rossii. URL: https://soil-db.ru/map/agristat (in Russian).
  5. Slovar' Dikshineri. URL: https://www.merriam-webster.com/dictionary/microrelief (in Russian).
  6. Postanovlenie Pravitel'stva RF ot 31 maya 2019, № 696. Gosudarstvennaya programma «Kompleksnoe razvitie sel'skih territorij». URL: http://government.ru/rugovclassifier/878/events/ (in Russian).
  7. Shul'gin A.M. Klimat pochvy i ego regulirovanie. L.: Gidrometizdat. 1967. 302 s. URL: http://elib.rshu.ru/files_books/pdf/img-217150939.pdf (in Russian).
  8. Zajdel'man F.R. Gidrologicheskij faktor degradacii pochv i mery po ee preduprezhdeniyu. Pochvovedenie. 2000. № 12. S. 1272–1284 (in Russian)..
  9. Shein E.V., Bolotov A.G., Demboveckij A.V. Gidrologiya pochv agrolandshaftov: kolichestvennoe opisanie, metody issledovanij i obespechennost' pochvennyh zapasov vlagi. Pochvovedenie. 2021. № 9. S.1076–1084 (in Russian)..
  10. Prikaz Ministerstva truda i social'noj zashchity RF № 7264 ot 27.04.2020. Pravila ohrany truda (in Russian).
  11. Gasina A.I. Agrofizicheskie svojstva i osobennosti vodnogo rezhima v neodnorodnom pochvennom pokrove (na primere seryh lesnyh pochv Vladimirskogo opol'ya i dernovo-podzolistyh pochv Meshcherskoj nizmennosti). Avtoref. dis. … kand nauk. M. 2013. 24 s. (in Russian).
  12. Bondarev A.G., Kuznecova I.V., Sapozhnikov P.M. Pereuplotnenie pochv sel'skohozyajstvennoj tekhnikoj: prognoz yavlenij i processy razuplotneniya. Pochvovedenie. 1994. № 4. S. 58–72 (in Russian).
  13. Vaneeva M.V. K voprosu o nanorel'efe i ego vliyanii na erozionnye processy v agrolandshaftah. 2018 URL: https://www.elibrary.ru/item.asp?id=36868867 (in Russian).
  14. Sorokin A.P., Fedotova A.V., Mel'nikova E.S. Vliyanie rel'efa na prostranstvennoe var'irovanie fizicheskih svojstv v pochvah lugovyh landshaftov pojmy i del'ty reki Volgi. URL: http://nature-asu.ru/files/1(1)/51-62.pdf (in Russian).
  15. Shaporina N.A., Chichulin A.V. Vliyanie mikrorel'efa na formirovanie gidrotermicheskogo polya pochvennogo pokrova vodorazdelov priobskogo plato v oroshaemyh usloviyah. International Journal of Applied and fundamental research. 2017. № 3. S. 130-134. URL: https://s.applied-research.ru/pdf/2017/9/11841.pdf (in Russian).
  16. Interaktivnye topograficheskie karty. URL: topographic-map.com (in Russian).
  17. Beloborodov V.G., Grishin N.Yu., Temirgalieva R.R. Kosmicheskij monitoring krupnogo sel'skohozyajstvennogo regiona v interesah ego ustojchivogo razvitiya. Sovremennye informacionnye tekhnologii i IT obrazovanie. 2018. T. 14. № 4. S. 1028–1033 (in Russian).
  18. Ukaz Prezidenta «O nacional'nyh celyah razvitiya Rossijskoj Federacii na period do 2030 goda i perspektivu» 7 maya 2024 goda. URL: http://publication.pravo.gov.ru/document/0001202405070015 (in Russian).
  19. Golovin V.G., Golovin A.V., Efremova E.V., Yudaev I.G. Vliyanie limitiruyushchih faktorov na razvitie agroproizvodstvennogo potenciala. Izv. nizhnevolzhskogo agrouniversitetskogo kompleksa. 2015. № 3 (39). S. 231–237 (in Russian).
  20. Zubina V.A. Opredelenie prodolzhitel'nosti provedeniya polevyh sel'skohozyajstvennyh rabot. V sb.: Agrotekhnika i energoobespechenie. 2019. № 3 (24). S. 17–26 (in Russian).
  21. Dron s lazernym skanerom – tekhnologii novogo pokoleniya. 25 sentyabrya 2019 goda Aeromotus. URL: https://aeromotus.ru/dron-s-lazernym-skanerom-tehnologii-novogo-pokoleniya/?ysclid=lqqn3964jx954575078 (in Russian).
  22. Harder P., Pomeroy J.P., Helgason D. Improving sub-canopy snow depth mapping with unmanned aerial vechiles:l idar vesus structure-from- motion technigues. EGU Article, 2020. V. 14. Is. 1935 https://tc.copernicus.org/articles/14/1919/2020/
  23. Villanueva J., Martinez L., Montiel J. DEM Generation from Fixed–Wing UAV Imaging and LiDAR-Derived Ground Control Points for Estimation. Sensor. 2019. № 19 (14). P. 3205. URL: https://doi.org/10.3390/s19143205
  24. Zohreh A. Investigation the Role of factors Important for the validation of Satellite soil Moisture Retrievals:Applications of LiDAR Technology. dissertationhttps: URL: //hdl.handle.net/10214/27444
  25. Verdejo M.B. Lidar and Microwave Radiometr Synergy for High Vertical Resolution Thermodinamic Profiling. 2017.Köln. Diss. URL: https://core.ac.uk/download/pdf/83527383.pdf
  26. Lidar for Drones: Everything you need to knou abaut lidars an UAVs/ 2023 URL: https://www.yellowscan.com/knowledge/lidar-drone/
  27. Zagorovskaya V., Trofimov A. Agrokarshering. Mashinno-traktornye stancii ozhidaet vozrozhdenie? /Agrotekhnika i tekhnologii. 2023, 17 marta. https://www.agroinvestor.ru/tech/article/39975-agro-karshering-mashinno-traktornye-stantsii-ozhidaet-vozrozhdenie/ (in Russian).
Date of receipt: 02.08.2024
Approved after review: 15.08.2024
Accepted for publication: 28.08.2024