Tomchenko O. Substantiation of wetland system analysis methods using remote sensing data and ground observations (in the upper Kyiv reservoir case study)

The thesis is devoted to investigation the ways of improving the methodological provision of space geominotoring of wetlands based on integration of remote sensing data and ground observations by developing proper mathematical models of system analysis and formation of generalizing criteria (the evidence from Kyiv reservoir). A number of informative features of operational unit of wetlands - main types of habitats were identified, which are reliably interpreted on satellite images, and which are indicators of the state of the territory. The technique of multi-objective optimization was improved, by forming a complex evaluation criteria for water quality of Kyiv reservoir headwater, based on remote sensing data. A hierarchical model of expert assessment of wetlands ecological functions, based on the analytic hierarchy process on purpose of tree types of ecosystem service satisfaction: to protect biotic diversity, municipal water supply and hydropower production was tested. The model of adaptive balance effects for different habitat types' prediction and modeling in general water pollution was developed. Modelling was conducted and for the first time ever space-based remote sensing information the prognosis data till 2023 were obtained. The results give reason to recommend the use of the techniques of comprehensive evaluation of the wetland state and ecomonitoring carrying out using mathematical models of systems analysis based on the integration of remote sensing data and ground observation on purpose to solve urgent problems of comprehensive, balanced environmental management and nature conservation.