HIGH PERFORMANCE GEOGRAPHIC INFORMATION SYSTEM OF ENVIRONMENTAL MONITORING AND FORECASTING FOR SOLUTIONS OF SCIENTIFIC, TECHNICAL AND EDUCATIONAL TASKS

The article is devoted to the project of high performance geographic information system for monitoring and forecasting of natural objects, which is developed by National Research Tomsk State University. The project focuses on the development and implementation of innovative geoinformation technology of accounting and valuation of natural resources (forestry, fishing industry, hunting, wild plants), the volume of allowable sustainable extraction, reproduction and protection, including improved statistical reporting, under the Agreement between the Department of Forestry of Tomsk Region, a branch of FGBU “Roslesinforg” “Zapsiblesproyekt”, Tomsk branch of FGBU “Roslesinforg” and the National Research Tomsk State University on cooperation for the implementation of the Concept for creation of «INO Tomsk» territorial innovation center in the Tomsk region. The priority tasks that the elaborated system should ensure are next: providing information services for inventory and accounting of forest management, real-time monitoring of forest management and timber production, evaluation and prediction of the yield of renewable natural resources, providing real-time monitoring of fire conditions in the territory of the Tomsk region, providing operational monitoring of flood situation in the Tomsk region, providing operational environmental monitoring and environmental management, including the monitoring of oil pollution, felling forests, etc., information support of cadastral works and land development areas, monitoring of agricultural activities. The information sources, hardware and GIS software are described. In the article there are considered the main sub-systems and their purpose: a subsystem of collection and primary processing of spatial data, storage subsystem, subsystem of thematic processing and data analysis, forecasting situations subsystem, reporting subsystem (Geoportal) and data access subsystem. The article also described the modern technologies and methods of GIS-modeling and landscape GIS-mapping implemented in the system, such as morphometric analysis of landscapes based on a digital elevation model, the methods of computer processing of remote sensing data, including the creation of a “mosaic” of images, orthophotos, spectral and radiometric correction of images, expert, supervised and unsupervised classification based on cluster analysis (ISODATA algorithm) as well as the calculation of vegetation indices (RVI, NDVI, SAVI, EVI, PVI, and the like). The economic benefit for the regional budget from the introduction of GIS for monitoring and forecasting of natural objects is counted. There are examples of the use of the system in the field of education.

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