Research and experiment on containerized remote sensing information service platform technology

doi:10.7523/j.ucas.2021.0013

Abstract

Abstract: Under the background of the era of remote sensing big data, combining remote sensing information with actual production has been widely used in all walks of life. With the processing and sharing of remote sensing information being applied to more and more fields, a single remote sensing data service architecture is no longer sufficient to meet the requirements of high availability and easy expansion in actual production conditions. China remote sensing satellite ground station has a huge amount of remote sensing image data, how to use existing data to provide better information services has always been the direction of ground station exploration. In this paper, under the private cloud environment, the containerized remote sensing information technology processing platform is constructed through kubernetes container arrangement to provide remote sensing information service. Furthermore, technical research is carried out in four aspects: the containerized basic environment, remote sensing image computing and processing, remote sensing data access and user service mode. A remote sensing information service platform integrating “data query and acquisition-image calculation processing-remote sensing information service” has been constructed.

Key words: containerization, remote sensing information service, cloud platform, kubernetes container arrangement, remote sensing big data

CLC Number:

TP79

YAN Lei, LIU Wei, LIU Shibin, DUAN Jianbo, XIA Wei. Research and experiment on containerized remote sensing information service platform technology[J]. Journal of University of Chinese Academy of Sciences, 2022, 39(6): 793-800.

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