1. Elsakov, V.V.: A technology of on-line resource estimation of reindeer pastures from optical remote sensing data. In: Current Problems in Remote Sensing of the Earth from Space, vol. 11, no. 1, pp. 245–255. SCOPUS, Web of Science (2014)
2. Becher, M., Olofsson, J., Berglund, L., Klaminder, J.: Decreased cryogenic disturbance: one of the potential mechanisms behind the vegetation change in the Arctic. Polar Biol. 41(1), 101–110 (2017). https://doi.org/10.1007/s00300-017-2173-5
3. Mochalov, V., Grigorieva, O., Zelentsov, V., Markov, A., Ivanets, M.: Intelligent technologies and methods of tundra vegetation properties detection using satellite multispectral imagery. In: Advances in Intelligent Systems and Computing, pp. 234–243. Springer, Cham (2019). ISSN 2194-5357
4. Grigoryeva, O.V., Saidov, A.G., Kudro, D.V.: Ensemble algorithm of hyperspectral data processing based on fuzzy set of clusters training in the problem of classification of vegetation. In: Proceedings of the Mozhaisky Military Aerospace Academy. – SPb.: Mozhaisky MAA (2018)
5. Demidova, L.A., Nesterov, N.I., Tishkin, R.V.: Possibilistic-fuzzy segmentation of earth surface images by means of genetic algorithms and artificial neural networks. St. Petersburg State Polytechnical Univ. J. Comput. Sci. Telecommun. Control Syst. 3, 37–47 (2014). ISSN online 2618-8694