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Advances in CubeSat Missions and Applications in Remote Sensing

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 May 2025 | Viewed by 1232

Special Issue Editors


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Guest Editor
Aerospace Area, Department of Mechanical Engineering, Heat Engines and Machines, and Fluids, Aerospace Engineering School, University of Vigo, Campus Orense, 32004 Orense, Spain
Interests: CubeSat onboard systems; UAV onboard systems; artificial intelligence; neural networks; control; electronics

E-Mail Website
Guest Editor
Telecommunication Engineering School, University of Vigo, 36310 Vigo, Spain
Interests: system engineering for space communications of small satellites and constellations of satellites

Special Issue Information

Dear Colleagues,

CubeSats have proved their capabilities for Earth observation and planetary exploration in recent years, providing valuable data that support a wide range of environmental, scientific, and commercial applications. By using advanced sensor technologies and artificial intelligence algorithms, CubeSats may enable the acquisition of high-resolution images and data over extensive areas with a high revisiting frequency. These capabilities facilitate monitoring environmental changes, assessing natural disasters and resources, and even exploring other planets. CubeSats provide a unique combination of functionalities, rapid development, quick deployment, and affordable budget.

The use of CubeSats in remote sensing includes a broad range of scientific fields and practical applications on Earth: climate observation, agricultural monitoring, disaster response, urban planning, and many others; they provide a reduced-cost solution to help us understand atmospheric processes, ocean dynamics, and land use changes. Regarding planetary exploration, CubeSats are increasingly used to obtain data from other planets and satellites, complementing other more complex missions.

The need for precise and accurate geospatial information is continuously growing, so new sensing technologies and methodologies are key for the research community. This Special Issue aims to display the latest applications of CubeSat missions in remote sensing. It will showcase cutting edge research, innovative technologies, and practical implementations to highlight the impact of CubeSats on our capacity to observe and understand planets, especially Earth. Included contributions will address a range of topics, covering novel sensor designs, mission planning and execution, data processing techniques, and successful CubeSat mission cases.

Dr. Pedro Orgeira Crespo
Prof. Dr. Fernando Aguado-Agelet
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CubeSat
  • remote sensing
  • payload
  • artificial intelligence
  • earth observation
  • planetary exploration

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Published Papers (1 paper)

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Research

20 pages, 4313 KiB  
Article
ACCURACy: A Novel Calibration Framework for CubeSat Radiometer Constellations
by John Bradburn, Mustafa Aksoy, Lennox Apudo, Varvara Vukolov, Henry Ashley and Dylan VanAllen
Remote Sens. 2025, 17(3), 486; https://doi.org/10.3390/rs17030486 - 30 Jan 2025
Viewed by 814
Abstract
As a result of progress in space technology, more scientific missions are benefiting from using CubeSats equipped with radiometers. CubeSat constellations are especially effective in overcoming obstacles in cost, weight, and power. However, these benefits have certain significant downsides, including the difficulty in [...] Read more.
As a result of progress in space technology, more scientific missions are benefiting from using CubeSats equipped with radiometers. CubeSat constellations are especially effective in overcoming obstacles in cost, weight, and power. However, these benefits have certain significant downsides, including the difficulty in calibration due to the increased sensitivity of instruments to ambient conditions. Such limitations prevent conventional calibration methods from being reliably applied to CubeSat radiometers. A novel, constellation-level calibration framework called “Adaptive Calibration of CubeSat Radiometer Constellations (ACCURACy)” is being developed to address this issue. ACCURACy, in its current version, uses telemetry data obtained from thermistors in each CubeSat to cluster constellation members into time-adaptive groups of radiometers in similar states. Each radiometer is assigned membership to a cluster and this status is updated as in-orbit measurements shift in the clustering model. This paper introduces the ACCURACy framework, discusses its theoretical background, and presents a MATLAB prototype with performance and uncertainty analyses using synthetic radiometer data in comparison with traditional radiometer calibration methods. Full article
(This article belongs to the Special Issue Advances in CubeSat Missions and Applications in Remote Sensing)
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