FSSCat Mission Description and First Scientific Results of the FMPL-2 Onboard 3CAT-5/A

Camps, Adriano; Muñoz-Martín, Joan Francesc; Ruiz-de-Azua, Joan A.; Fernández, Lara P.; Perez-Portero, A.; Llaveria, David; Herbert, Christoph; Pablos, Míriam; Golkar, Alessandro; Gutierrrez, A.; Antônio, Carlos; Bandeiras, Jorge; Andrade, Jorge; Cordeiro, D.; Briatore, Simone; Garzaniti, Nicola; Nichele, Fabio; Mozzillo, Raffaele; Piumatti, A.; Cardi, Margherita; Esposito, Marco; Domínguez, Bernardo Carnicero; Pastena, Massimiliano; Filippazzo, Giancarlo; Reagan, Amanda

doi:10.1109/igarss47720.2021.9554589

Cited by 15 publications

(7 citation statements)

References 4 publications

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“…Mateo-Garcia et al proposed 'WorldFloods', an in-orbit re-trainable machine learning payload that not only processes optical imagery for flood mapping but is also capable of 'on-the-fly' model updates [27]. Moreover, work in multispectral sensing for environmental monitoring has shown the capability of machine learning algorithms to estimate variables like sea ice concentration and soil moisture [28], [29].…”

Section: Related Workmentioning

confidence: 99%

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission

Lu,

Jones,

Zhao

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This paper presents our research in the pre-launch phase of the Kanyini mission, which aims to implement an energy-efficient, AI-based system onboard for early fire smoke detection using hyperspectral imagery. Our approach includes three key components: developing a diverse hyperspectral training dataset from VIIRS imagery, groundwork in band selection and AI model preparation, and developing an emulation system. We adapted and evaluated our previously developed lightweight convolutional neural network model, VIB SD, to meet the computational constraints of satellite deployment. The emulation system tests various onboard AI tasks and processes. Our comprehensive experiments demonstrate the feasibility and benefits of employing onboard AI for fire smoke detection, significantly improving downlink efficiency, energy consumption, and detection speed.

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Section: Related Workmentioning

confidence: 99%

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission

Lu,

Jones,

Zhao

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…In the same year, the Cosmogia company (now Planet Labs launched its first Dove pathfinder satellite (Dove 1) [15]. (Planet owns and operates a constellation of more than five hundred 3U imaging satellites with a spacial resolution of ~5 m [135,136].) Its goal was to show the performance of a small camera payload and demonstrate the ability to design, produce, and operate satellites in short times and at a low-cost using commercial off-the-shelf components [137].…”

Section: Third Period: Technology Demonstrations (2010-2014)mentioning

confidence: 99%

Considerations for Eco-LeanSat Satellite Manufacturing and Recycling

Buitrago-Leiva,

Camps,

Moncada Niño

2024

Sustainability

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This research aims to contribute to the development of the Eco-LeanSat concept by focusing on a sustainable approach to satellite manufacturing and the repurposing of remaining satellite capabilities after failure. Despite satellites no longer being suitable for their original purposes, these remaining capabilities can find new applications. The study begins by identifying relevant innovative eco-design applications. Subsequently, it examines sustainability within the satellite lifecycle supply chain, categorizing it into four methods: (1) active debris removal, (2) transport logistics, (3) mission extension, and (4) repair and construction. Aligned with emerging trends in space activities, the study also considers future developments to maximize satellites’ potential to provide new services. Additionally, the research includes a description of a potential lean manufacturing process that encompasses logistic chains to support the development of a more sustainable space economy. Finally, the study concludes with a technological survey tracing the evolution of the development of the SmallSat and CubeSat platforms that identifies relevant innovative designs for a sustainable space environment.

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“…It is worth noting that much of Federated Satellite System (FSS)'s potential relies on the spacecraft capabilities to establish communications through ISL. The recently launched FSSCat mission [27] is an example of FSS.…”

Section: Architectures and System Model For Distributed Satellite Sys...mentioning

confidence: 99%

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

et al. 2022

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Cohesive Distributed Satellite Systems (CDSSs) is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSSs. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSSs. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for Distributed Satellite Systems (DSSs). First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSSs in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on Machine Learning (ML). Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.

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FSSCat Mission Description and First Scientific Results of the FMPL-2 Onboard 3CAT-5/A

Cited by 15 publications

References 4 publications

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission

Considerations for Eco-LeanSat Satellite Manufacturing and Recycling

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

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