Evaluation of yield forecast indicators of agricultural crops using aerospace imagery

References

1. Busygin, B.S. Korotenko, G.M. Nikulin, S.L., Garkusha, I.M., Sergieieva, K.L.
   [2016]. Dataware of Internet-center for monitoring of land resources use in Ukraine. Scientific Bulletin of National Mining University, 5, 115–125.
   [Google Scholar]
2. Metternicht, G.
   [2003]. Vegetation indices derived from high-resolution airborne videography for precision crop management. International Journal of Remote Sensing, 24(14), 2855–2877, DOI:10.1080/01431160210163074.
   https://doi.org/10.1080/01431160210163074 [Google Scholar]
3. Kussul, N.N., Kravchenko, A.N., Skakun, S.V., Adamenko, T.I., Shelestov, A.Yu, Kolotii, A.V., Gripich, Yu. A. [2012]. Crop yield forecasting regression models based on MODIS data. Current Aspects of Remote Sensing of Earth from Space, 9(1), 95–107.
   [Google Scholar]
4. Lyalko, V.I., Sakhatsky, O.I., Zholobak, G.M., Popov, M.A.
   [2010]. Some directions of aerospace methods applications for solution of the agricultural tasks in Ukraine. Current Aspects of Remote Sensing of Earth from Space, 7(1), 19–28.
   [Google Scholar]
5. Stankevich, S.A., Piestova, I.A.
   [2014]. Vegetation cover changes mapping within Kiev metropolis agglomeration using long-term time series of Landsat multispectral satellite imagery. Current Aspects of Remote Sensing of Earth from Space, 11(2), 187–196.
   [Google Scholar]