Practices and Experiences in High Volumes of Satellite Data Management | IEEE Conference Publication | IEEE Xplore

Practices and Experiences in High Volumes of Satellite Data Management


Abstract:

High volumes of satellite data management within an organization is still challenging and daunting in the era of big data. The increasing information technology costs and...Show More

Abstract:

High volumes of satellite data management within an organization is still challenging and daunting in the era of big data. The increasing information technology costs and limited budgets, growing satellite data needs, data availability across multiple teams and projects, strategic goals of organization, and expected project outcomes require better satellite data management mechanism and system to facilitate research and development activities. An organization level centralized satellite data repository is a practical solution to satisfy these requirements. This paper describes the best practices and experiences from building such a central satellite data repository within our organization, including data management strategy and policy, scalable and extensible system infrastructure, comprehensive data management system, and technical support and user assistance. These practices can be borrowed and applied in other organizations with similar requirements.
Date of Conference: 28 July 2019 - 02 August 2019
Date Added to IEEE Xplore: 14 November 2019
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ISSN Information:

Conference Location: Yokohama, Japan
References is not available for this document.

1. INTRODUCTION

Satellite data is very critical to research and development activities for land, ocean, and atmospheric processes, environment monitoring and assessment, sea surface observations, vegetation dynamics, ecosystem management, weather prediction, climate change, and so on [1]. Organizations are increasingly constrained by obtaining and managing high volumes of heterogeneous satellite data from various data sources [2].

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1.
F. Hossain, "Data for all: Using satellite observations for social good", Eos, vol. 96, 2015.
2.
W. Han and J. Brust, "Central satellite data repository supporting research and development", AGU Fall Meeting, 2015.
3.
Center for Satellite Applications and Research (STAR), [online] Available: https://www.star.nesdis.noaa.gov/.
4.
W. Han and M. Jochum, "Near real-time satellite data quality monitoring and control", 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 206-209, 2016.
5.
H. Pampel, P. Vierkant, F. Scholze, R. Bertelmann, M. Kindling, J. Klump et al., "Making Research Data Repositories Visible: The re3data.org Registry", PLoS ONE, vol. 8, no. 11, pp. e78080, 2013.
6.
W. Han and M. Jochum, "Assessing a central satellite data repository and its usage statistics", 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 6528-6531, 2018.
7.
I. Ahmed, G. Smith and E. Pirozzi, "PostgreSQL 10 High Performance: Expert techniques for query optimization high availability and efficient database maintenance", 2018.
8.
W. Han and M. Jochum, "Latency analysis of large volume satellite data transmissions", 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 383-387, 2017.
9.
W. Han, L. Di, G. Yu, Y. Shao and L. Kang, "Investigating metrics of geospatial web services: The case of a CEOS federated catalog service for earth observation data", Computers & Geosciences, vol. 92, pp. 1-8, 2016.

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References

References is not available for this document.