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dc.contributor.author
Boffi, Geo
dc.contributor.supervisor
Wieser, Andreas
dc.contributor.supervisor
Schön, Steffen
dc.contributor.supervisor
Geiger, Alain
dc.date.accessioned
2018-09-04T13:29:34Z
dc.date.available
2018-09-04T12:49:42Z
dc.date.available
2018-09-04T13:29:34Z
dc.date.issued
2018
dc.identifier.isbn
978-3-03837-008-6
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/286849
dc.identifier.doi
10.3929/ethz-b-000286849
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Institute of Geodesy and Photogrammetry, ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Uncertainty Prediction and Accuracy Assessment for Highly Accurate GNSS-based Trajectory and Velocity Determination
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-09-04
ethz.journal.title
IGP Mitteilungen
ethz.journal.volume
121
en_US
ethz.size
160 p.
en_US
ethz.identifier.diss
25311
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03964 - Wieser, Andreas / Wieser, Andreas
en_US
ethz.date.deposited
2018-09-04T12:49:43Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-09-04T13:30:38Z
ethz.rosetta.lastUpdated
2018-11-08T01:34:01Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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