Stability Analysis of GNSS Control Point Network for Material Displacement Monitoring on the Slopes using Stability Monument Evaluation and Adjustment Data Processing Scheme: Preliminary Result

The Global Navigation Satellite System (GNSS) has been used widely for hazards monitoring, such as landslide or material displacement on the slope due to its high accuracy and precision positioning. However, to assure its accuracy and precision, a further data quality and site assessment must be tak...

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Bibliographic Details
Main Authors: Sadarviana Vera, Bramanto Brian, Sidiq Teguh P., Gamal Mohamad, Tampubolon Daniel A., Hilmafizar Rahmadi, Biantoro Reyhan A., Alifiyanti Hana, Faruq Muhammad T. A., Muttaqin Muhammad F
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_01023.pdf
Description
Summary:The Global Navigation Satellite System (GNSS) has been used widely for hazards monitoring, such as landslide or material displacement on the slope due to its high accuracy and precision positioning. However, to assure its accuracy and precision, a further data quality and site assessment must be taken into account. In such a way, it is possible to determine whether the site monitoring is moved or not. Six location of GNSS observation points were established based on the geological structure and the terrain slopes. Satellite visibilities analysis, multipath analysis, and kinematic precise point positioning analysis were performed to assess the GNSS data quality and the monitoring stability. These procedures will determined the further processing scheme for each site monitoring. Some of areas experience the indication of cracks in road and building construction, which lead into an assumption of the displacement has been accumulated in a sub meter fraction. Thus, accounting all of those aspects, first adjustment data processing was implemented to achieve the preliminary results of the first observation.
ISSN:2267-1242