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Deformation monitoring using GNSS:A study on a local network with preset displacements
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Computer and Geospatial Sciences, Geospatial Sciences.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Sustainable development
The essay/thesis is mainly on sustainable development according to the University's criteria
Abstract [en]

In the past two decades, the number of observations and the accuracy of satellite-basedgeodetic measurements like Global Navigation satellite systems (GNSS) greatly increased,providing measured values of displacements and velocities of permanent geodetic stations.Establishment of the geodetic control networks and collecting geodetic observations, indifferent epochs, are a commonly used method for detection of displacements andconsequently disaster management. Selecting proper processing parameters for differenttypes of monitoring networks are critical factors of the deformation monitoring analysisusing GNSS, which is the main aim of this research. In this study, a simulation study and acontrolled survey were performed using simultaneous GNSS measurements of 5 geodeticpillars, established by Lantmäteriet at Gävle airport. Sensitivity analyses were performed ondifferent types of monitoring networks using different set of processing paarameters . Thesescenarios consider different sets of parameters, different types of monitoring networks, andvarious number of monitoring stations to evaluate the detectable displacements andcompare with the known millimeter displacements (simulated one). The results showed thatthe selection of processing parameters depends on the type and size of the monitoringnetwork and the location of the monitoring stations. Analyses also show that onlineprocessing services can provide mm-cm level accuracy for displacement detection ifsufficient observation time is available. Finally, checks were performed on the two ofsample scenarios to find the minimum observation time required for reaching to the mostaccurate simulated (preset) displacements.

Place, publisher, year, edition, pages
2019. , p. iv+69+appendixes
Keywords [en]
Deformation detection, processing parameters, GNSS, online post-processing
National Category
Other Civil Engineering
Identifiers
URN: urn:nbn:se:hig:diva-30153OAI: oai:DiVA.org:hig-30153DiVA, id: diva2:1328725
Subject / course
Geomatics
Educational program
Geomatics – master’s programme (one year) (swe or eng)
Presentation
2019-06-11, 11:316, Kungsbäcksvägen 47, 801 76, Gävle, 13:00 (English)
Supervisors
Examiners
Available from: 2019-06-24 Created: 2019-06-22 Last updated: 2019-06-24Bibliographically approved

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File name FULLTEXT01.pdfFile size 6033 kBChecksum SHA-512
0819103941d40a5dea636b5cf5bb2766fd94163517425c11c17f21840e0aa811418e845d2b1b3a614f13b87528a0768394f090d4219d80c4e0209222ac5cd5bb
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf