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A Review of Advanced Cloud Platforms for ERS Data Processing and Analytics

  • METHODS AND TOOLS FOR PROCESSING AND INTERPRETING SPACE INFORMATION
  • Published:
Izvestiya, Atmospheric and Oceanic Physics Aims and scope Submit manuscript

Abstract

The rapid expansion of the remote sensing satellite constellation produced large volumes of Earth’s remote sensing data. New approaches are required to store and access the data to enable real-time analytics. As consumers demand not just standard ERS data processing but an integrated virtual environment for ERS data applications, the most promising and sought-after solution for many users is a cloud platform for ERS data processing and analysis. The range of available cloud platforms is extensive which makes it difficult for users to understand the internal structure, interconnections between the platform components, their functions, and properties. There is a need for a scientific systematization of such platforms. This is a review of international and Russian cloud platforms. We identified the standard structure of a cloud platform and its layers with their dedicated functionality, autonomy, standardization, and horizontal scalability. The review indicates that cloud platforms are the most promising tool for ERS data processing and analytics.

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Authors and Affiliations

  1. Russian Space Systems, Moscow, Russia

    A. A. Emelyianov, M. V. Ereshko, O. S. Sizov & A. V. Borisov

  2. Research Institute for Precision Instruments, Moscow, Russia

    A. A. Emelyianov

Authors
  1. A. A. Emelyianov
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  2. M. V. Ereshko
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  3. O. S. Sizov
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  4. A. V. Borisov
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Correspondence to M. V. Ereshko.

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Emelyianov, A.A., Ereshko, M.V., Sizov, O.S. et al. A Review of Advanced Cloud Platforms for ERS Data Processing and Analytics. Izv. Atmos. Ocean. Phys. 58, 1183–1193 (2022). https://doi.org/10.1134/S0001433822090079

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