V.V. Mikhailov, Alexandr V. Spesivtsev, and Andrey Yu. Perevaryukha. Evaluation of the Dynamics of Phytomass in the Tundra Zone Using a Fuzzy-Opportunity Approach // Intelligent Distributed Computing XIII. / I. Kotenko et al. (Eds.) Proceedings of the 13th International Symposium on Intelligent Distributed Computing IDC 2019 (7–10 October 2019, Saint-Petersburg, Russia). Series “Studies in Computational Intelligence”, vol 868. Springer, Cham. P.449–454. https://doi.org/10.1007/978-3-030-32258-8_53
Abstract
A pattern of tundra plants development has been established on the basis of a long-term field study. This pattern can be described by a mathematical model as a result of the combination of two tendencies – growth and decay of plants during their lifetime. The photos taken from space allowed us to assess phytomass volume remotely, using the NDVI index. An attempt was made to develop a technique which would combine these two data sources in order to assess phytomass dynamics in the tundra zone. We use flexible methods for ecodynamics models.