<div class="csl-bib-body">
<div class="csl-entry">Möller, G., Anne Dickmann, Lukas Müller, Crocetti, L., & Simon Rondot. (2023, December 11). <i>SpaceborneIonosphericTomography: A first in-orbit demonstration campaign</i> [Poster Presentation]. AGU 2023, San Francisco, United States of America (the).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191853
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dc.description.abstract
Tomographic principles offer a unique opportunity for sensor fusion, contributing to a better understanding of specific sensor characteristics and maximizing their potential for sensing the three-dimensional atmospheric state. However, a key challenge in converting integral measurements into three-dimensional images lies in the limited number of radio sources and detectors relative to the object's size. Nanosatellite technology is paving the way to overcome this problem and enable groundbreaking Earth observation opportunities. As we anticipate the emergence of large satellite constellations comprising hundreds to thousands of satellites in low Earth orbit, a significant number of these satellites will be equipped with cost-effective sensors, such as GNSS receivers, for Earth's atmosphere monitoring.
This study focuses on utilizing dense nanosatellite formations equipped with GNSS receivers to reconstruct the 3D ionospheric structure, offering promising advancements in atmospheric science. A demonstration campaign was conducted in December 2022 using four satellites from the Astrocast nanosatellite fleet. The campaign showcased a novel tomography-based modeling approach based on four nanosatellites arranged in a "string-of-pearls" formation. The GNSS signals observed from such a formation enter the atmosphere at similar locations, resulting in spatially close radio occultation signals suitable for accurately reconstructing the electron density distribution from high-rate GNSS radio occultation measurements.
The analysis revealed up to 1800 radio occultation events within the 14-hour observation period. A subset of these events demonstrated favorable observation geometry for tomographic processing, especially during the initial days post-satellite launch. Data analysis involved extracting the ionospheric excess phase from the GPS L1 code and phase observations and integrating them into a tomographic system alongside ray-traced signal paths to estimate electron density fields. The results from this first demonstration campaign exhibit the potential of this cutting-edge observation technique for comprehensive three-dimensional sensing of the ionosphere, presenting promising prospects for future atmospheric studies.
en
dc.language.iso
en
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dc.subject
LEO satellites
en
dc.subject
GNSS tomography
en
dc.subject
ionosphere delay modeling
en
dc.title
SpaceborneIonosphericTomography: A first in-orbit demonstration campaign
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland
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dc.contributor.affiliation
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland
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dc.contributor.affiliation
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland
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dc.contributor.affiliation
Astrocast SA
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dc.type.category
Poster Presentation
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tuw.researchTopic.id
C4
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tuw.researchTopic.id
X1
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tuw.researchTopic.id
E4
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
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tuw.researchTopic.name
Beyond TUW-research foci
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tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.value
20
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tuw.researchTopic.value
40
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tuw.researchTopic.value
40
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tuw.publication.orgunit
E120 - Department für Geodäsie und Geoinformation
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tuw.publication.orgunit
E120-04 - Forschungsbereich Höhere Geodäsie
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tuw.author.orcid
0000-0002-6153-3084
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tuw.author.orcid
0000-0003-2538-4111
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tuw.event.name
AGU 2023
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tuw.event.startdate
11-12-2023
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tuw.event.enddate
15-12-2023
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
San Francisco
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tuw.event.country
US
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tuw.event.presenter
Crocetti, Laura
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tuw.event.track
Multi Track
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wb.sciencebranch
Geodäsie, Vermessungswesen
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wb.sciencebranch
Informatik
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wb.sciencebranch
Physik, Astronomie
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wb.sciencebranch.oefos
2074
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1030
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wb.sciencebranch.value
70
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wb.sciencebranch.value
15
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wb.sciencebranch.value
15
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item.openairecristype
http://purl.org/coar/resource_type/c_18co
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.openairetype
conference poster not in proceedings
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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crisitem.author.dept
E120-04 - Forschungsbereich Höhere Geodäsie
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crisitem.author.dept
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland
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crisitem.author.dept
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland
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crisitem.author.dept
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland