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The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-oriented architecture. A distinctive feature of the system is the complete automation of the entire simulation cycle - from loading initial data to interpreting results, visualizing and alerting interested parties. The theoretical basis for ensuring the coordinated functioning of all system components is the qualimetry of models and polymodel complexes. The practical implementation is carried out using open codes, free software and GIS platform «RegionView». All the complexity associated with the use of heterogeneous geographically distributed information resources is hidden from the user. This allows the system to be used not only by specialists in GIS, IT or relevant subject area, but also by other users interested in the results of flood monitoring and forecasting - emergency services, local authorities, commercial organizations and citizens. The described technologies and the system of operational flood forecasting were tested in the Russian Federation on the Northern Dvina River, from the city of Velikiy Ustyug to the city of Kotlas in 2014-2019. Given test results prove that the application of such an approach ensures full implementation of the required functionality of operational flood forecasting systems, the fulfilment of the basic requirements for such systems and also indicate the possibility of a widespread use of such systems authorities and emergency services.

The structure of the Intellectual Information Platform (IIP) and examples of its application for decision-making support in environmental management are considered. The IIP structure is based on a service-oriented architecture. The flexible nature of IIP software allows to integrate a wide range of environmental parameters assessment models and diverse initial data, including earth remote sensing data. Results of case studies for different IIP applications such as water bodies monitoring, forestry management, flood forecasting, etc., showed full-scale implementation of the IIP required functionality.

The paper considers methods and information technologies for full automatization of forest ecosystems sustainability estimation. Analysis of forest ecosystem sustainability is explored as a multi-objective problem with applying a complex of models for calculating partial indicators of sustainability. Earth observation (EO) data is used as an essential component of information support for estimating forest ecosystems sustainability indicators. Methodological framework of automatization consists of complex modelling, application of models qualimetry methods for selecting specific calculation models, and methods for multi-criteria analysis to estimate generalized indicators of sustainability. A software architecture is proposed in order to implement procedures of complex modelling with integrated processing EO and field data.

In this paper the concept of integrated modeling and simulation of the processes of the Complex Technical–Organizational System (CTOS) is presented. Practical directions of the remote sensing for environmental monitoring of the protected area are proposed by the authors. Methodical basis of the integrated modeling and simulation, the process of CTOS operation, and the technology of the remote sensing for environmental monitoring are considered. Results of CTOS remote sensing are shown to adapt models to a changing environment.