Session
Weekend Poster Session 1
Location
Utah State University, Logan, UT
Abstract
Since 1957, more than 14,000 satellites have been launched into space; 2022 marks a record year with the launch of 2,163 satellites [1]. The increased number of satellites in combination with technological advancements in satellite communications has enabled operators to collect vast amounts of science data and satellite telemetry. These large data sets can be utilized to ensure coexistence between the ever-increasing number of satellite systems, potentially reducing both the risk of harmful interference and in-orbit collisions. Additionally, they can act as decentralized information sources, improving our understanding of the space environment and increasing the reliability of satellites. Modern data sharing practices for space mission data can be categorized into either post-mission or real-time analysis. Post-mission analysis can lead to detecting anomalies that occurred during a mission by correlating data points from individual or different satellites. In contrast, real-time data sharing can also help avoid harmful communication interference events and in-orbit collisions. This paper provides a review of data collection and sharing practices across three types of satellite systems: university smallsat missions, federal government missions, and private sector/commercial missions. In this review and synthesis, the utility of those datasets is identified along with challenges associated with moving towards standard structures and stakeholder sharing practices.
SSC23-WP1-13 Poster
Data Sharing in Satellite Systems: Review of the Past and Opportunities in the Age of Large LEO Constellations
Utah State University, Logan, UT
Since 1957, more than 14,000 satellites have been launched into space; 2022 marks a record year with the launch of 2,163 satellites [1]. The increased number of satellites in combination with technological advancements in satellite communications has enabled operators to collect vast amounts of science data and satellite telemetry. These large data sets can be utilized to ensure coexistence between the ever-increasing number of satellite systems, potentially reducing both the risk of harmful interference and in-orbit collisions. Additionally, they can act as decentralized information sources, improving our understanding of the space environment and increasing the reliability of satellites. Modern data sharing practices for space mission data can be categorized into either post-mission or real-time analysis. Post-mission analysis can lead to detecting anomalies that occurred during a mission by correlating data points from individual or different satellites. In contrast, real-time data sharing can also help avoid harmful communication interference events and in-orbit collisions. This paper provides a review of data collection and sharing practices across three types of satellite systems: university smallsat missions, federal government missions, and private sector/commercial missions. In this review and synthesis, the utility of those datasets is identified along with challenges associated with moving towards standard structures and stakeholder sharing practices.
