Big data technologies in environmental monitoring

Abstract

The article deals with the big data technologies currently used for environmental monitoring. The processes of accumulation and preservation of super-large data sets, technologies for working with them, and a paradigm shift in science are presented. A predictive function of big data has been identified that allows effective use of this technology in environmental monitoring. A general idea of environmental monitoring as a complex system of observations, assessment and forecast of changes in the environmental state has been formed. The main areas of environmental monitoring are identified. As an example, the activity of collecting, processing and storing big data in the framework of the strategic project “Geographic Information system “Yenisei-Arctic”, implemented by the employees of Reshetnev Siberian State University of Science and Technology. The main tasks and results of the project are presented. Among the main results of the project, the formation of a research direction in the field of big data and the involvement of young scientists and students in promising research that can prepare the necessary information for the needs of environmental monitoring is highlighted. It is proved that big data technologies can raise environmental monitoring to a whole new level.