Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2026 19 (6)
- Authors
- Botvich, Irina Yu; Snitserev, Artem P.; Rachinskiy, Mark I.; Shevyrnogov, Anatolii P.
- Contact information
- Botvich, Irina Yu. : Institute of Biophysics SB RAS (Krasnoyarsk, Russian Federation); ; Snitserev, Artem P.: Institute of Biophysics SB RAS (Krasnoyarsk, Russian Federation); Rachinskiy, Mark I. : Institute of Biophysics SB RAS (Krasnoyarsk, Russian Federation); Shevyrnogov, Anatolii P. : Institute of Biophysics SB RAS (Krasnoyarsk, Russian Federation)
- Keywords
- DEM; unmanned aerial vehicle and satellite data; agricultural land; precision farming
- Abstract
We constructed maps of eluvial-accumulative zones for agricultural lands at the EPF “Kuraginskoye” of the Federal research center KSC SB RAS, using remote sensing data (unmanned and satellite). It has been established that using maps of eluvial-accumulative zones of agricultural soils obtained from unmanned aerial vehicle data allows us to determine the causes of increased or decreased fertility. Zones with different eluvial-accumulative potential of soils were identified: zones of maximum and moderate accumulation, transition zones, and eluvial zones. The mesorelief and microrelief of the agricultural lands were assessed using unmanned data. It has been established that digital elevation models (DEMs) of agricultural lands derived from drone data are essential for solving precision farming problems. Existing open- access satellite DEMs, in particular FABDEM, have insufficient spatial resolution to solve these problems
- Pages
- 803–812
- EDN
- FCYORK
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/159361
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).