The CYGNSS flight segment; A major NASA science mission enabled by micro-satellite technology

Rose, Randy; Ruf, Christopher S.; Rose, Debi; Brummitt, Marissa; Ridley, A. J.

doi:10.1109/aero.2013.6497205

Cited by 15 publications

(5 citation statements)

References 3 publications

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“…The MAKOS observatories comprise the MAKOS payload integrated with a spin-stabilized S/C using a single-string hardware architecture with functional and selective redundancy included for critical areas. The architectural approach achieves a mission success of >90% over its two-year mission lifetime as demonstrated by the NASA CYGNSS eight-observatory mission (Rose et al, 2013), which has operated for over 5 years without failure.…”

Section: Makos Spacecraft Reference Designmentioning

confidence: 99%

The multi-point assessment of the kinematics of shocks (MAKOS)

Goodrich,

Cohen,

Schwartz

et al. 2023

Front. Astron. Space Sci.

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Collisionless shock waves are one of the main mechanisms of energy conversion in space plasmas. They can directly or indirectly drive other universal plasma processes such as magnetic reconnection, turbulence, particle acceleration and wave phenomena. Collisionless shocks employ a myriad of kinetic plasma mechanisms to convert the kinetic energy of supersonic flows in space to other forms of energy (e.g., thermal plasma, energetic particles, or electromagnetic energy) in order for the flow to pass an immovable obstacle. The partitioning of energy downstream of collisionless shocks is not well understood, nor are the processes which perform energy conversion. While we, as the heliophysics community, have collected an abundance of observations of the terrestrial bow shock, instrument and mission-level limitations have made it impossible to quantify this partition, to establish the physics within the shock layer responsible for it, and to understand its dependence on upstream conditions. This paper stresses the need for the first ever spacecraft mission specifically designed and dedicated to the observation of both the terrestrial bow shock as well as Interplanetary shocks in the solar wind. Our mission concept, the Multi-point Assessment of the Kinematics of Shocks (MAKOS), will greatly improve on previous observations of the terrestrial bow shock with instrumentation specifically tailored to observe the evolution of the solar wind through the shock.

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Section: Makos Spacecraft Reference Designmentioning

confidence: 99%

The multi-point assessment of the kinematics of shocks (MAKOS)

Goodrich,

Cohen,

Schwartz

et al. 2023

Front. Astron. Space Sci.

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“…In addition to these conditions, quality flags, mentioned in [81], are also considered in the preprocessing step. It is worth mentioning that the speckle noise impact is negligible since each DDM is obtained from 1 s incoherent integration of 1000 DDMs [82].…”

Section: A Cygnss Observablesmentioning

confidence: 99%

Flash Flood Detection From CYGNSS Data Using the RUSBoost Algorithm

et al. 2020

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Flash floods can cause massive damages because of their rapid evolution. To reduce or prevent harm caused by a flash flood, it is vital to have information about its formation and spread. Hence, providing real-time surveillance flood is essential. Considering Hurricane Harvey and Hurricane Irma as two case studies, six different data preparation approaches (DPAs) for flood detection based on the Cyclone Global Navigation Satellite System (CYGNSS) data and the Random Under-Sampling Boosted (RUSBoost) classification algorithm are investigated in this paper. Taking flood and land as two classes, flash flood detection is tackled as a binary classification problem. Eleven observables are extracted from the delay-Doppler maps (DDMs) for feature selection. These observables, alongside two features from an ancillary data, are considered in feature selection. All the combinations of these observables with and without ancillary data are fed into the classifier with 5-fold cross-validation one by one. Based on the test results, five observables with the ancillary data are selected as a suitable feature vector for flood detection here. Using the selected feature vector, six different DPAs are investigated and compared to find the best one for flash flood detection. Then, the performance of the proposed method is compared with that of a support vector machine (SVM) based classifier. For Hurricane Harvey and Hurricane Irma, the selected method is able to detect 89.00% and 85.00% of flooded points, respectively, with a resolution of 500 m × 500 m, and the detection accuracy for non-flooded land points is 97.20% and 71.00%, respectively.

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“…They have also been deemed essential when the system needs enhanced spatial, spectral or temporal resolutions at a reduced costs and risk . Innovative projects such as NASA's Cyclone Global Navigation Satellite System are examples of how agencies are currently changing their paradigm and are already exploring solutions based on many small satellites to address new scientific needs. Simultaneously, relevant initiatives like the European QB50 project, aimed at studying the middle and lower thermosphere, are also exploring the feasibility of large, heterogeneous, CubeSat‐based clusters.…”

Section: Distributed Satellite Systemsmentioning

confidence: 99%

Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

Araguz

Bou-Balust

Alarcón

2018

Systems Engineering

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While monolithic satellite missions still pose significant advantages in terms of accuracy and operations, novel distributed architectures are promising improved flexibility, responsiveness and adaptability to structural and functional changes. Large satellite swarms, opportunistic satellite networks or heterogeneous constellations hybridizing small-spacecraft nodes with high-performance satellites are becoming feasible and advantageous alternatives requiring the adoption of new operation paradigms that enhance their autonomy. While autonomy is a notion that is gaining acceptance in monolithic satellite missions, it can also be deemed an integral characteristic in Distributed Satellite Systems. In this context, this paper focuses on the motivations for system-level autonomy in DSS and justifies its need as an enabler of system qualities.Autonomy is also presented as a necessary feature to bring new distributed Earth observation functions (which require coordination and collaboration mechanisms) and to allow for novel structural functions (e.g. opportunistic coalitions, exchange of resources or in-orbit data services).Mission Planning and Scheduling frameworks (MPS) are then presented as a key component to * Corresponding author. E-mail addresses: {carles.araguz, elisenda.bou, eduard.alarcon}@upc.edu 1 implement autonomous operations in satellite missions. An exhaustive knowledge classification explores the design aspects of MPS for DSS, and conceptually groups them into: components and organizational paradigms; problem modeling and representation; optimization techniques and metaheuristics; execution and runtime characteristics; and the notions of tasks, resources and constraints. This paper concludes by proposing future strands of work devoted to study the tradeoffs of autonomy in large-scale, highly dynamic and heterogeneous networks through frameworks that consider some of the limitations of small spacecraft technologies.

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The CYGNSS flight segment; A major NASA science mission enabled by micro-satellite technology

Abstract: While hurricane track forecasts have improved in accuracy by -50% since 1990, there has been essentially no

Cited by 15 publications

References 3 publications

The multi-point assessment of the kinematics of shocks (MAKOS)

The multi-point assessment of the kinematics of shocks (MAKOS)

Flash Flood Detection From CYGNSS Data Using the RUSBoost Algorithm

Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

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