GPS deformation monitoring and analysis for local cors network: Iskandarnet

Monitoring of deformation in urban areas is of great importance, providing useful information to assess seismic hazards and risks. Thus, this study concerns the feasibility using Continuously Operating Reference Stations (CORS) in Iskandar metro-area (termed ISKANDARnet) for deformation monitoring a...

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Main Authors: Lim, M. C., Setan, Halim, Othman, Rusli
Format: Article
Language:English
English
Published: Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia 2010
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Online Access:http://eprints.utm.my/id/eprint/27788/1/HalimSetan2010_GPSDeformationMonitoringandAnalysisforLocal.pdf
http://eprints.utm.my/id/eprint/27788/2/1-gps%20deformation%20monitoring%20and%20analysis%20for%20local%20cors%20network%20iskandarnet.pdf
http://eprints.utm.my/id/eprint/27788/
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spelling my.utm.277882014-03-03T03:32:09Z http://eprints.utm.my/id/eprint/27788/ GPS deformation monitoring and analysis for local cors network: Iskandarnet Lim, M. C. Setan, Halim Othman, Rusli G Geography (General) Monitoring of deformation in urban areas is of great importance, providing useful information to assess seismic hazards and risks. Thus, this study concerns the feasibility using Continuously Operating Reference Stations (CORS) in Iskandar metro-area (termed ISKANDARnet) for deformation monitoring and analysis. A strategy is developed that using three GPS CORS from ISKANDARnet as the object monitoring stations along with nearby International GNSS Services (IGS) stations (e.g. NTUS, XMIS, COCO and PIMO) as the reference monitoring stations. GPS data is streamed and processed by the high precision scientific GPS data processing software module, called Bernese Processing Engine (BPE) in persistent processing strategic. A software package in Matrix Laboratory (MATLAB) language has been developed to conduct a continuous two-epoch analysis by implementing the Iteratively Weighted Similarity Transformation (IWST) method and Similarity Transformation (S-Transformation) to analyse the GPS results in the deformation perspective. With the performance of IWST and S-Transformation, the unstable point able to be identified within the monitoring network as well as compute the deformation displacement vectors. The fluctuation of deformation displacement is visualised on-screen proportional to the associated time series results. Several preliminary works and analysis are stated in this paper. This study will bring the invaluable contribution to the current studies of deformation analysis in Malaysia. Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia 2010-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/27788/1/HalimSetan2010_GPSDeformationMonitoringandAnalysisforLocal.pdf text/html en http://eprints.utm.my/id/eprint/27788/2/1-gps%20deformation%20monitoring%20and%20analysis%20for%20local%20cors%20network%20iskandarnet.pdf Lim, M. C. and Setan, Halim and Othman, Rusli (2010) GPS deformation monitoring and analysis for local cors network: Iskandarnet. Geoinformation Science Journal, 10 (2). pp. 1-14. ISSN 1511-9491
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
English
topic G Geography (General)
spellingShingle G Geography (General)
Lim, M. C.
Setan, Halim
Othman, Rusli
GPS deformation monitoring and analysis for local cors network: Iskandarnet
description Monitoring of deformation in urban areas is of great importance, providing useful information to assess seismic hazards and risks. Thus, this study concerns the feasibility using Continuously Operating Reference Stations (CORS) in Iskandar metro-area (termed ISKANDARnet) for deformation monitoring and analysis. A strategy is developed that using three GPS CORS from ISKANDARnet as the object monitoring stations along with nearby International GNSS Services (IGS) stations (e.g. NTUS, XMIS, COCO and PIMO) as the reference monitoring stations. GPS data is streamed and processed by the high precision scientific GPS data processing software module, called Bernese Processing Engine (BPE) in persistent processing strategic. A software package in Matrix Laboratory (MATLAB) language has been developed to conduct a continuous two-epoch analysis by implementing the Iteratively Weighted Similarity Transformation (IWST) method and Similarity Transformation (S-Transformation) to analyse the GPS results in the deformation perspective. With the performance of IWST and S-Transformation, the unstable point able to be identified within the monitoring network as well as compute the deformation displacement vectors. The fluctuation of deformation displacement is visualised on-screen proportional to the associated time series results. Several preliminary works and analysis are stated in this paper. This study will bring the invaluable contribution to the current studies of deformation analysis in Malaysia.
format Article
author Lim, M. C.
Setan, Halim
Othman, Rusli
author_facet Lim, M. C.
Setan, Halim
Othman, Rusli
author_sort Lim, M. C.
title GPS deformation monitoring and analysis for local cors network: Iskandarnet
title_short GPS deformation monitoring and analysis for local cors network: Iskandarnet
title_full GPS deformation monitoring and analysis for local cors network: Iskandarnet
title_fullStr GPS deformation monitoring and analysis for local cors network: Iskandarnet
title_full_unstemmed GPS deformation monitoring and analysis for local cors network: Iskandarnet
title_sort gps deformation monitoring and analysis for local cors network: iskandarnet
publisher Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia
publishDate 2010
url http://eprints.utm.my/id/eprint/27788/1/HalimSetan2010_GPSDeformationMonitoringandAnalysisforLocal.pdf
http://eprints.utm.my/id/eprint/27788/2/1-gps%20deformation%20monitoring%20and%20analysis%20for%20local%20cors%20network%20iskandarnet.pdf
http://eprints.utm.my/id/eprint/27788/
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score 13.209306