1. Arkhipova, O.E., Kachalina, N.A., Tyutyunov, Yu.V., and Kovalev, O.V., Assessment of infestation of anthropogenic phytocenoses based on remote sensing data (on the example of common ragweed), Issled. Zemli Kosmosa, 2014, no. 6, pp. 15–26.
2. Bondur, V.G., Modern approaches to processing large hyperspectral and multispectral aerospace data flows, Izv., Atmos. Ocean. Phys., 2014, vol. 50, no. 9, 840–852.
3. Bondur, V.G. and Vorobev, V.E., Satellite monitoring of impact Arctic regions, Izv., Atmos. Ocean. Phys., 2015, vol. 51, no. 9, pp. 949–968.
4. Che’Ya, N., Gupta, M., Doug, G., Lisle, A., Basnet, B., and Campbell, G., Spectral discrimination of weeds using hyperspectral radiometry, in Proc. 5th Asian Conf. on Precision Agriculture (ACPA), Jeju, Korea, 2013, p. 325.
5. Gaznayee, H.A. and Al-Quraishi, A.M.F., Analysis of agricultural drought, rainfall, and crop yield relationships in Erbil province, the Kurdistan region of Iraq based on Landsat time-series MSAVI2, J. Adv. Res. Dyn. Control Syst., 2019, vol. 11, pp. 536–545. https://doi.org/10.5373/JARDCS/V11SP12/20193249