CubeSat Imaging Payload Design for Environmental Monitoring of Greenland

Climate change affects the Earth’s ecosystem, and understanding human impact on sparsely populated polar regions is crucial, especially in glacial dynamics. Nanosatellites can play an essential role in monitoring remote regions due to their flexibility in adding remote sensors for Earth observation. However, they have hardware constraints such as physical space limitations, low power generation, and low bandwidth, as well as environmental challenges of vacuum, heat, cold and radiation. This paper details the preliminary system design of an imaging payload integrated into a nanosatellite for monitoring field study sites in Greenland. The payload is capable of supporting advanced image processing and Machine Learning (ML) applications. Key design elements, including the selection of imaging sensors, onboard processing units, and data transmission systems, which are optimized for the constraints of a nanosatellite platform, are presented. As a result, we presented a novel imaging payload system design, which shows a significant step towards leveraging space technology for environmental research.

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Publication Details

Journal
Electronics
Published
2024-12-25
DOI
https://doi.org/10.3390/electronics14010018
Citations
5
Primary Topic
Planetary Science and Exploration
Type
article
Field-Weighted Citation Impact
1.66

Funders

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article

CubeSat Imaging Payload Design for Environmental Monitoring of Greenland

Paúl D. Rosero-Montalvo, Julian Priest
5 citations
Electronics
Planetary Science and Exploration
1.66
article

CubeSat Imaging Payload Design for Environmental Monitoring of Greenland

Paúl D. Rosero-Montalvo, Julian Priest
article en
5 citations

Abstract

Climate change affects the Earth’s ecosystem, and understanding human impact on sparsely populated polar regions is crucial, especially in glacial dynamics. Nanosatellites can play an essential role in monitoring remote regions due to their flexibility in adding remote sensors for Earth observation. However, they have hardware constraints such as physical space limitations, low power generation, and low bandwidth, as well as environmental challenges of vacuum, heat, cold and radiation. This paper details the preliminary system design of an imaging payload integrated into a nanosatellite for monitoring field study sites in Greenland. The payload is capable of supporting advanced image processing and Machine Learning (ML) applications. Key design elements, including the selection of imaging sensors, onboard processing units, and data transmission systems, which are optimized for the constraints of a nanosatellite platform, are presented. As a result, we presented a novel imaging payload system design, which shows a significant step towards leveraging space technology for environmental research.

ElectronicsVol. 14(1)
IT University of Copenhagen (DK)
Aarhus Universitet, Syddansk Universitet, Industriens Fond
Openalex Percentile: Top 16%
Planetary Science and Exploration
1.66
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