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All Journal Indonesian Journal of Geospatial
Dudy Darmawan Wijaya, Dudy
Geodesy Research Division, Faculty Earth Sciences and Technology, Institut Teknologi Bandung, Ganesa 10, Bandung 40132, West Java, INDONESIA
Earth & Planetary Sciences

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Continuous GPS Time Series Data Analysis in Sumatera; Case of Study: Continuous Data SuGAR (Sumatran GPS Array) 2004-2007 Leila Hanief, Sarah; Meilano, Irwan; Darmawan Wijaya, Dudy
Indonesian Journal of Geospatial Vol 1, No 2 (2012)
Publisher : Indonesian Journal of Geospatial

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Abstract

Abstract. In each GPS time series data, there are signals which exist and affect the result that has been received, which is called noise. Those noise components will form certain pattern in time series. Basically, time series has periodic component which commonly not being able to be detected directly. To detect which periodic component that dominantly affect the time series, there is a way which is called spectral analysis. With acknowledge periodic component in a time series, we can know the characteristic of the time series and then we can determine how many parameters will be needed to do curve fitting. There are two approximations in fitting, it is either linear fitting only or linear fitting with including periodic component. As a comparison between these two methods, we need to be estimate displacements velocity rate in a year. From the analysis that has been done, the result is that the biggest difference of displacements velocity rate between these two methods is 3.7 milimeters per year.Keywords: displacements velocity rate, fitting, periodic component, spectral analysis, time series.
Co-Authors irwan meilano Sarah Leila Hanief, Sarah