The Scientific Seminar "Analysis of Time Series of Multispectral Remote Data for Identification of Landscape Invariants"
As a part of the series of seminars on the topic "Current approaches and methods in landscape and environmental research", the sixth event was held on December 1, 2022.
The report of Anastasia Baibar, a junior researcher at the laboratory, discusses theoretical and methodological justifications for the allocation of invariants of nonlinear dynamical systems in landscape cover. By the example of the analysis of multispectral measurements of solar radiation reflection for South Taiga landscape (The Central Forest State Natural Biosphere Reserve) from the satellites of the Landsat series from 1987 to 2022, it was shown that the invariants allocated as order parameters primarily determine the total aboveground biomass of vegetation, the water content in vegetation and soils, and the intensity of photosynthesis, i.e. the bioproduction process. The proposed scheme for analyzing time series of remote information makes it possible to evaluate the landscape cover at the time of shooting relative to the invariant as a stationary state of the landscape, and to identify the main control parameters that determine changes in environmental conditions and self-development of the system.