MODERNIZATION OF THE SPATIAL DATA INFRASTRUCTURE USING CLOUD TECHNOLOGIES
The cloud technologies have become an integral part of the information structure of the society in the last decade due to broad access via the Internet, rapid and automated scalability of projects of different degree of complexity, cloud storage and computing, and other. The cloud technologies could also be applied to spatial data. In order to maintain competitiveness and relevance both the infrastructure of spatial data and single geo-portals require constant development and optimization. Via transferring individual resource-intensive tools to the cloud platform, for example, of tools for processing the Earth remote sensing data, it has become possible to develop existing spatial data infrastructures with all their functional and non-functional requirements. The resulting hybrid spatial data infrastructure architecture will be able to take advantage of cloud computing without changing its own scheme fundamentally in regard to storing, processing and visualizing spatial information. In this case, both public cloud platforms such as Amazon Web Services and private cloud solutions can be used, and as cloud instruments implementations, both virtual machines and container processing services or complex solutions can be used. The implementation of separate remote sensing data processing tools will lead to the omission of use of some additional software and complete the required tasks with the aid of a single geo-information platform.