Article
Engineering, Aerospace
M. Amin Alandihallaj, M. Reza Emami
Summary: This paper presents a system design for Earth observation utilizing fractionated payloads onboard CubeSats, which can meet the Sentinel-2 mission specifications at lower costs with enhanced scalability and robustness characteristics.
Article
Engineering, Aerospace
Yuta Imoto, Satoshi Satoh, Toshihiro Obata, Katsuhiko Yamada
Summary: In this study, an optimal constellation determination method for Earth observation satellites is proposed. The orbit requirements for interferometric synthetic aperture radar (InSAR) observation are mathematically formulated to obtain nadir trajectories of the chief satellites. The problem of optimal constellation determination is modeled as a multi-objective mixed integer programming problem, and a metaheuristic optimization method is applied to optimize the number and configuration of satellite ground tracks and orbital planes. The proposed method enables the design of optimal satellite constellation configurations based on mission conditions such as observation area and acceptable altitude range.
Article
Geochemistry & Geophysics
Yinyi Cheng, Kefa Zhou, Jinlin Wang, Shichao Cui, Jining Yan, Philippe De Maeyer, Tim Van de Voorde
Summary: This letter proposes an optimized strategy for Earth observation data management by designing different horizontal scaling strategies to achieve the optimal distribution of data. The experimental results demonstrate that this strategy contributes to efficient organization and management of data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Multidisciplinary Sciences
Myroslava Lesiv, Dmitry Schepaschenko, Marcel Buchhorn, Linda See, Martina Durauer, Ivelina Georgieva, Martin Jung, Florian Hofhansl, Katharina Schulze, Andrii Bilous, Volodymyr Blyshchyk, Liudmila Mukhortova, Carlos Luis Munoz Brenes, Leonid Krivobokov, Stephan Ntie, Khongor Tsogt, Stephan Alexander Pietsch, Elena Tikhonova, Moonil Kim, Fulvio Di Fulvio, Yuan-Fong Su, Roma Zadorozhniuk, Flavius Sorin Sirbu, Kripal Panging, Svitlana Bilous, Sergii B. Kovalevskii, Florian Kraxner, Ahmed Harb Rabia, Roman Vasylyshyn, Rekib Ahmed, Petro Diachuk, Serhii S. Kovalevskyi, Khangsembou Bungnamei, Kusumbor Bordoloi, Andrii Churilov, Olesia Vasylyshyn, Dhrubajyoti Sahariah, Anatolii P. Tertyshnyi, Anup Saikia, Ziga Malek, Kuleswar Singha, Roman Feshchenko, Reinhard Prestele, Ibrar ul Hassan Akhtar, Kiran Sharma, Galyna Domashovets, Seth A. Spawn-Lee, Oleksii Blyshchyk, Oleksandr Slyva, Mariia Ilkiv, Oleksandr Melnyk, Vitalii Sliusarchuk, Anatolii Karpuk, Andrii Terentiev, Valentin Bilous, Kateryna Blyshchyk, Maxim Bilous, Nataliia Bogovyk, Ivan Blyshchyk, Sergey Bartalev, Mikhail Yatskov, Bruno Smets, Piero Visconti, Ian Mccallum, Michael Obersteiner, Steffen Fritz
Summary: Spatially explicit information on forest management is crucial for understanding forest status and planning sustainable management. This study developed a globally consistent forest management map and reference dataset using a combination of expert and crowdsourcing campaigns, as well as satellite imagery. The map provides high spatial detail and moderate accuracy.
Article
Environmental Sciences
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
Summary: This paper introduces the Hopsworks platform, an open-source AI platform for building ML/DL pipelines for EO data. It provides full-stack services for managing the data lifecycle and supports large-scale model training and deployment. Additionally, two frameworks built on top of Hopsworks, Maggy and AutoAblation, are introduced and experimentally evaluated.
Article
Environmental Sciences
Julia Wagemann, Federico Fierli, Simone Mantovani, Stephan Siemen, Bernhard Seeger, Joerg Bendix
Summary: There is an increasing demand to train Earth Observation data users in accessing and utilizing available and upcoming data. Computational notebooks, interactive web applications that combine text, code, and computational output, prove to be a promising tool for data-related training. The Learning Tool for Python (LTPy), a training course based on Jupyter notebooks, has provided over 70 notebooks and successfully trained more than 1000 EO data users, garnering positive feedback. The development of Jupyter notebooks follows literate programming, incorporates instructional design elements, modularizes functions, utilizes the wider Jupyter ecosystem, and strives for reproducibility.
Article
Computer Science, Information Systems
Peng Yue, Boyi Shangguan, Lei Hu, Liangcun Jiang, Chenxiao Zhang, Zhipeng Cao, Yinyin Pan
Summary: Artificial Intelligence Machine Learning, particularly Deep Learning, is reshaping Earth Observation. To enhance the discoverability and accessibility of training data, a training data model is proposed, which includes design rationales, information models, and an encoding method. Several scenarios illustrate the potential uses and benefits of using EO Deep Learning applications in an open Web environment. The relationship with Open Geospatial Consortium (OGC) standards and the impact on an AI-ready Spatial Data Infrastructure (SDI) are also discussed.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Environmental Sciences
Yongjing Mao, Daniel L. Harris, Zunyi Xie, Stuart Phinn
Summary: Coastal geomorphic classification is crucial for identifying the depositional environment along coastlines. Previous methods relied heavily on manual efforts and expert opinions, which limited their application at a global scale. In this study, satellite images and digital elevation models were used to classify coastal geomorphology on a global scale. The incorporation of shape descriptors extracted from shoreline vector data improved the accuracy of the classification. The output dataset can be used for various coastal management purposes.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geochemistry & Geophysics
Guy Schumann, Laura Giustarini, Angelica Tarpanelli, Ben Jarihani, Sandro Martinis
Summary: Satellite flood mapping technology has been widely used for over 40 years. In recent years, with the availability of a large amount of open-access remote sensing data, there have been significant advancements in flood mapping, monitoring, and integrating with flood models.
SURVEYS IN GEOPHYSICS
(2023)
Article
Engineering, Aerospace
Yifan Deng, Jiaxing Zhou, Xiang Chen, Youxin Yao, Qixuan Huang
Summary: This paper presents an innovative DFP system that shows potential in handling collaborative observation missions. The design involves installing two or more payloads in a parallel configuration, creating a multibody dynamics system. Simulation studies demonstrate that the proposed design can achieve high precision and complete collaborative observation missions.
Article
Environmental Sciences
Rolf Simoes, Gilberto Camara, Gilberto Queiroz, Felipe Souza, Pedro R. Andrade, Lorena Santos, Alexandre Carvalho, Karine Ferreira
Summary: This paper introduces an open-source R package sits for satellite image time series analysis using machine learning, which adopts a time-first, space-later approach and supports the complete cycle of data analysis for land classification. The software provides a simple but powerful set of functions and works in different cloud computing environments. It includes methods for quality assessment of training data and provides validation and accuracy measurement methods.
Article
Computer Science, Theory & Methods
Maroua Masmoudi, Sana Ben Abdallah Ben Lamine, Hajer Baazaoui Zghal, Bernard Archimede, Mohamed Hedi Karray
Summary: This study introduces a knowledge hypergraph-based approach for data integration and querying, applied to Earth Observation data. Results show that the proposed method enhances query processing in terms of accuracy, completeness, and semantic richness of response.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Information Systems
Felix Cuervo, Johannes Ebert, Michael Schmidt, Pantelis-Daniel Arapoglou
Summary: This study focuses on the performance and radio wave propagation aspects of Q-band Earth observation data downlink systems. Simulation results show the impact of different factors on data return volume.
Article
Engineering, Electrical & Electronic
Peter J. Burke
Summary: The article demonstrates through experiments and theoretical explanations that in the limit where the receiver height vanishes, the 4G signals in a typical cellular wireless setup behave simply, with a 40 dB/decade signal loss. This is in contrast to the more complex path loss scaling with distance in the case of finite height receivers.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Geochemistry & Geophysics
Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo, Paolo Gamba
Summary: Quantum machine learning (QML), an emerging technology, is explored in the field of earth observation and remote sensing. A hybrid quantum neural network (QNN) structure is proposed for land cover classification, with a strategy for selecting the most efficient combination of qubits. The proposed method achieves better performance with less model complexity compared to standard techniques, and improves model resilience to dataset imbalance. The research code is publicly available.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Aerospace
A. I. Krikunova, A. D. Cheshko, V. V. Krivets
Summary: Fire safety is crucial for the development of efficient and safe energy systems for space objects. This paper focuses on studying the influence of gravity on combustion processes and analyzes the dynamics of inverted conical methane-air flame under external acoustic excitation. The results show that at high excitation frequencies, the intensity of vortex generation is similar to that observed in experiments with normal gravity, indicating the dominance of acoustic mechanism. Additionally, at an external excitation frequency of 240 Hz, significant growth in shear vortex diameters and increased amplitude of perpendicular oscillations of flame branches were observed, indicating the most intensive large scale instability of flow.
Article
Engineering, Aerospace
Liya Huang, Mingquan Gong, Jiarui Zhang, Kun Liang, He Yang
Summary: Metallized gel propellants with exceptional stability and remarkable shear-thinning properties were successfully synthesized by utilizing cooperative hydrogen bonding between polymer octanoyl cellulose and the small Thixatrol ST molecule.
Article
Engineering, Aerospace
Clemence Poirier, Michelle Hermes, Marco Aliberti
Summary: This paper examines the role of space-based data in European climate policies and assesses the barriers to the use of space technology in climate policymaking in European countries. The research findings indicate that while satellite data is crucial for scientific research and climate policies, the role of space is not accurately reflected in European climate policies.
Article
Engineering, Aerospace
Yan-mei Zhou, Ji-ping Wu, Wei Huang, Gautam Choubey
Summary: This study investigates the combustion performance of sinusoidal pulsed jets in supersonic flows using numerical simulations. It is found that the pulsed jets can significantly improve combustion efficiency.
Article
Engineering, Aerospace
Wang Zhao, Shujun Tan, Yiliang Guo
Summary: This study proposes an adaptive Pogo active suppression controller design method that utilizes measured acceleration as feedback. The eigenspace transformation theory is employed to design dimensional reduced models for observer and adaptive controller, effectively addressing the issues of model parameter uncertainty and time-varying parameters. Simulation analysis of a certain type of rocket demonstrates the effectiveness of the proposed method.
Article
Engineering, Aerospace
A. V. Nebylov, V. A. Nebylov
Summary: This article discusses the safety issues of astronauts during the landing process and investigates how rescuers can effectively carry out rescue missions. The article also takes into account the special maritime conditions of the Vostochny cosmodrome.
Article
Engineering, Aerospace
Pietro Davide Maddio, Rosario Sinatra, Alberto Meschini, Riccardo Rigato, Marco Lapi, Davide Scarozza, Alessandro Cammarata
Summary: This study aims to develop a versatile cable net generation algorithm for designing offset cable nets in parabolic reflectors. The study proposes a methodology that leverages quasi-geodesic curves and introduces two types of these curves. The study also presents various solutions for different cable net layouts and introduces a quality index based on an equilateral triangle cable net.
Article
Engineering, Aerospace
Nahum Melamed, Tom Heinsheimer
Summary: Traditional methods of asteroid trajectory modification rely on impact or nuclear detonation, while centrifugal propulsion offers an alternative approach. The centrifuge system lands on the asteroid and gradually adjusts the trajectory using momentum transfer. This method allows for flexibility in operation parameters and has the potential to be used in planetary defense and other space missions.
Article
Engineering, Aerospace
Andrew Barth, Ou Ma
Summary: As humans continue to explore the surfaces of the Moon and Mars, the use of distributed heterogeneous robot teams can increase the chances of success by utilizing the complementary capabilities and synergy of the team members. Effective cooperation and collaboration between the members of a robot team is crucial, but defining a metric for effective cooperation is challenging. This paper presents a method for determining reward criteria that can be used for training robot swarm through reinforcement learning techniques. The trained robot team exhibits high success rates and cooperative behavior in test environments, demonstrating the robustness and scalability of the training strategies.
Article
Engineering, Aerospace
Kaijie Zhu, Qiquan Quan, Dewei Tang, Yachao Dong, Kaiyi Wang, Bo Tang, Qi Wu, Zongquan Deng
Summary: This study proposes a deployable Mars quadcopter for air patrol and sampling missions. By describing its structure, avionics architecture, and autonomous flight control method, it provides a feasible framework for future Mars flight sampling missions.
Article
Engineering, Aerospace
Avishai Melamed, Adi Rao, Sarah Kreps, Erika Palmer
Article
Engineering, Aerospace
Colin Hunter, Avinkrishnan Vijayachandran, Anthony M. Waas
Summary: Deployable structures inspired by origami have gained significant prominence in space applications. Recent advancements in multi-material additive manufacturing have opened new possibilities for the fabrication of monolithic structures. This paper presents a novel framework for designing deployable structures using viscoelastic hinges incorporated into rigid plates. Experimental results demonstrate the effectiveness and feasibility of these hinge designs in real-world applications.
Article
Engineering, Aerospace
Aleksander V. Efremov, Mikhail S. Tiaglik, Aleksey S. Tiaglik, Iliyas Kh Irgaleev, Tatyana V. Voronka
Summary: Theoretical and experimental studies were conducted to determine the best kind of information presented on a predictive display for the highest accuracy in space mission execution, while considering reduced propellant consumption.
Article
Engineering, Aerospace
Fuwen Liang, Long Miao, Feng Tian, Jiahui Song, Ningfei Wang, Xiao Hou
Summary: This study investigates the influence of deployment friction on the dynamic characteristics of nonconductive space tether through experimental measurement and numerical simulation. The results show that deployment friction significantly limits the uncontrolled tether deployment, while increasing the initial deployment velocity and satellite effective mass, as well as decreasing orbital altitude, can enhance the deployment capability and dynamic stability. In addition, an optimal matching relationship between tether length and satellite total mass is proposed, which is of substantial importance for the design of nonconductive space tether systems.
Article
Engineering, Aerospace
Amirah R. Algethami, Colin R. McInnes, Matteo Ceriotti
Summary: This paper utilizes the Hill's approximation model to manipulate the relative motion of two asteroids by three impulses, resulting in their bound binary motion in Earth's orbit. The feasibility of this strategy is demonstrated, and potential applications for parking small captured near-Earth asteroids in Earth's orbit are discussed.