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Development of the computing node for processing satellite imagery and spatial data for earth sciences
Author(s) -
Алексей Андреевич Загуменнов,
Vera V. Naumova
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.25743/sdm.2021.87.17.033
Subject(s) - computer science , cloud computing , node (physics) , data processing , satellite , spatial analysis , data science , distributed computing , database , remote sensing , geography , engineering , structural engineering , aerospace engineering , operating system
The work is devoted to the development of a computing node for processing satellite and spatial data for earth sciences by the example of its implementation as part of the Information and Analytical Environment to support scientific research in geology of the Vernadsky State Geological Museum (SGM RAS). The prerequisites for the creation of such a computing node and the requirements for it to solve geological problems are given. An overview of cloud platforms for access to satellite and spatial data and its processing has been presented. Based on the overview a conceptual diagram of a computing node has been proposed and the list of modern technologies required for building it has been determined. The developed node provides tools for searching data from external cloud providers, processing them with various built-in and custom algorithms, as well as tools for visualizing the results. It is an independent web service, although it is part of the Computational and Analytical Geological Environment of SGM RAS and is integrated with its services. This allows a wide range of users to access data and processing algorithms provided by computing node, including integrating it into other information systems as a third-party application for processing satellite and spatial data.

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