CSESpy: A Unified Framework for Data Analysis of the Payloads on Board the CSES Satellite

The China Seismo Electromagnetic Satellite (CSES) mission provides in situ measurements of the electromagnetic field, plasma, and charged particles in the topside ionosphere. Each CSES spacecraft carries several different scientific payloads delivering a wealth of information about the ionospheric plasma dynamics and properties, as well as measurement about energetic particles precipitating in the ionosphere. In this work, we introduce CSESpy, a Python package designed to provide an interface to CSES data products, with the aim of easing the pathway for scientists to carry out analyses of CSES data. Beyond simply being an interface to the data, CSESpy aims to provide higher-level analysis and visualization tools, as well as methods for combining concurrent measurements from different instruments, so as to allow multipayload studies in a unified framework. Moreover, CSESpy is designed to be highly flexible as such, it can be extended to interface with datasets from other sources and can be embedded in wider software ecosystems. We highlight some applications, also demonstrating that CSESpy is a powerful visualization tool for investigating complex events involving variations across multiple physical observables.

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Publication Details

Journal
Remote Sensing
Published
2025-10-12
DOI
https://doi.org/10.3390/rs17203417
Primary Topic
Spacecraft Design and Technology
Type
article
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article

CSESpy: A Unified Framework for Data Analysis of the Payloads on Board the CSES Satellite

R. Battiston, Mirko Piersanti, Emanuele Papini, F. M. Follega
Remote Sensing
Spacecraft Design and Technology
article

CSESpy: A Unified Framework for Data Analysis of the Payloads on Board the CSES Satellite

R. Battiston, Mirko Piersanti, Emanuele Papini, F. M. Follega
article en

Abstract

The China Seismo Electromagnetic Satellite (CSES) mission provides in situ measurements of the electromagnetic field, plasma, and charged particles in the topside ionosphere. Each CSES spacecraft carries several different scientific payloads delivering a wealth of information about the ionospheric plasma dynamics and properties, as well as measurement about energetic particles precipitating in the ionosphere. In this work, we introduce CSESpy, a Python package designed to provide an interface to CSES data products, with the aim of easing the pathway for scientists to carry out analyses of CSES data. Beyond simply being an interface to the data, CSESpy aims to provide higher-level analysis and visualization tools, as well as methods for combining concurrent measurements from different instruments, so as to allow multipayload studies in a unified framework. Moreover, CSESpy is designed to be highly flexible as such, it can be extended to interface with datasets from other sources and can be embedded in wider software ecosystems. We highlight some applications, also demonstrating that CSESpy is a powerful visualization tool for investigating complex events involving variations across multiple physical observables.

Remote SensingVol. 17(20)
University of Trento (IT), University of L'Aquila (IT), Istituto Nazionale di Fisica Nucleare, Trento Institute for Fundamental Physics And Applications (IT), Institute for Space Astrophysics and Planetology (IT), Istituto Nazionale di Fisica Nucleare, Roma Tor Vergata (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Roma I (IT)
Openalex Percentile: Top 61%
Spacecraft Design and Technology
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CSESpy: A Unified Framework for Data Analysis of the Payloads on Board the CSES Satellite — R. Battiston, Mirko Piersanti, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS