GPS: Applications in Crustal Deformation Monitoring

Murray-Moraleda, J. R.

doi:10.1007/978-0-387-30440-3_250

Cited by 5 publications

(5 citation statements)

References 156 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Time-series were selected from GPS measurements of the north component at each station in both networks from 09:00:05 to 15:25:25 (23,131 data points) from the original 1-Hz data retrieved [13]. It can be noted that vertical displacements were not used in this study because their accuracy is usually less than that of the horizontal ones [34,35].…”

Section: Selected Network Datamentioning

confidence: 99%

Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo

Piriyasatit,

Kuruoglu,

Ozeren

2024

Entropy

View full text Add to dashboard Cite

Geodetic observations through high-rate GPS time-series data allow the precise modeling of slow ground deformation at the millimeter level. However, significant attention has been devoted to utilizing these data for various earth science applications, including to determine crustal velocity fields and to detect significant displacement from earthquakes. The relationships inherent in these GPS displacement observations have not been fully explored. This study employs the sequential Monte Carlo method, specifically particle filtering (PF), to develop a time-varying analysis of the relationships among GPS displacement time-series within a network, with the aim of uncovering network dynamics. Additionally, we introduce a proposed graph representation to enhance the understanding of these relationships. Using the 1-Hz GEONET GNSS network data of the Tohoku-Oki Mw9.0 2011 as a demonstration, the results demonstrate successful parameter tracking that clarifies the observations’ underlying dynamics. These findings have potential applications in detecting anomalous displacements in the future.

show abstract

Section: Selected Network Datamentioning

confidence: 99%

Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo

Piriyasatit,

Kuruoglu,

Ozeren

2024

Entropy

View full text Add to dashboard Cite

show abstract

“…The geodetic methods most commonly used to collect spatial data on temporal development of surface deformations of the Earth's crust on the local level, i.e. the narrower area around fault zones, are the GNSS networks (Murray-Moraleda, 2009), and the Interferometric Synthetic Aperture Radar (InSAR) (Massonnet, Feigl, 1998). Geodetic methods at the local level provide a very good basis for monitoring seismic cycles on seismogenic sources, starting from inter-seismic phase (stress accumulation process, i.e.…”

Section: Geodesymentioning

confidence: 99%

Geoinformation for Research of Ongoing Geodynamic Processes In the Republic of Croatia

Divjak

Govorčin

Matoš

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Multidisciplinary research of surface geodynamic processes is important for understanding mechanisms that lead to sudden release of accumulated strain energy, i.e. earthquakes. It requires development of an original scientific approach which combines data from various geosciences such as geodesy, geology and seismology. This implies that each geoscience contributes to a better understanding by providing specific direct or indirect information on activity (spatial movements) and properties of seismogenic sources (faults). In recent years, new and accessible sources and types of geoinformation have greatly enhanced, enabling a more comprehensive investigation of ongoing geodynamic activity on faults and, therefore, improve our ability to develop approaches to assess and mitigate the seismic hazard and risk within the earthquake-prone areas. In this paper, we seek to identify the geoinformation required to improve the current knowledge on regional and local geodynamic processes in the Republic of Croatia. Focusing on the complementarity of geodetic, geological and seismological data, we discuss possible sources of the diverse sets of site-specific geospatial data. Examples include: ground/surface movement observations with Global Navigational Satellite Systems (GNSS) and Satellite Radar Interferometry (InSAR); data about historical and instrumental seismicity (e.g. focal mechanism solutions, number of earthquakes, b-value, etc.); fault location, fault geometrical properties and information on their neotectonic activity, paleoseismological data, etc. Challenges regarding the integrated use of these data, such as heterogeneity of data sources, access protocols, metadata standards, data quality, up-to-dateness, and other limitations are also addressed.

show abstract

“…While the refractive indices of air for the fundamental and second-harmonic wavelengths change at rates of 1 n  and 2 n  , respectively because of temperature or pressure changing, …”

Section: Optical Configurationmentioning

confidence: 99%

“…For geophysical observations, various methods are used to measure crustal deformation, such as global positioning system (GPS), interferometric synthetic aperture radar (InSAR), satellite laser ranging (SLR), electronic distance meter (EDM), and very long baseline interferometry (VLBI) [1][2][3][4][5]. In addition to these methods, long-baseline strainmeters (otherwise known as extensometers) have been used in more sensitive geodetic and seismic observations to measure the distance between two OPEN ACCESS reference points on the basis of a stable rod, fiber-optic strain sensor or a wavelength of laser light as a measurement reference [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Crustal Strain Observation Using a Two-Color Interferometer with Accurate Correction of Refractive Index of Air

2014

View full text Add to dashboard Cite

Abstract:A highly accurate two-color interferometer with automatic correction of the refractive index of air was developed for crustal strain observation. The two-color interferometer, which can measure a geometrical distance of approximately 70 m, with a relative resolution of 2 × 10 −9 , clearly detected a change in strain due to earth tides in spite of optical measurement in air. Moreover, a large strain quake due to an earthquake could be observed without disturbing the measurement. We demonstrated the advantages of the two-color interferometer in air for geodetic observation.

show abstract

GPS: Applications in Crustal Deformation Monitoring

Cited by 5 publications

References 156 publications

Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo

Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo

Geoinformation for Research of Ongoing Geodynamic Processes In the Republic of Croatia

Crustal Strain Observation Using a Two-Color Interferometer with Accurate Correction of Refractive Index of Air

Contact Info

Product

Resources

About