Satellite radar interferometry time series analysis of surface deformation for Los Angeles, California

Lanari, R.; Lundgren, P.; Manzo, M.; Casu, Francesco

doi:10.1029/2004gl021294

Cited by 193 publications

(149 citation statements)

References 11 publications

Supporting

Mentioning

143

Contrasting

Order By: Relevance

“…The deformation in the LA test site is composed of strong periodical and long-term vertical displacement, which is triggered by both tectonic and hydrogeological sources, e.g., displacement from fault zones and ground water usage [27,48,[51][52][53]. The Okmok test site has a dominant deformation source from the underlying volcanic pressure system [54][55][56], but also contains localized surface subsidence in a limited region inside the caldera due to the contraction of a lava flow post-emplacement [54,57].…”

Section: Geodetic Setting Of Study Areas and Sar Imagerymentioning

confidence: 99%

“…Also, some SBI methods rely on a pre-defined deformation model [8,22,25] whereas others are designed to operate without any assumptions about the ground deformation temporal evolution of the study area [6,24]. All of the mentioned methods have been successfully applied to various ground deformation studies, such as, volcano activities [6,26], subsidence in a city region [22,27], and seismic studies [28].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

et al. 2016

View full text Add to dashboard Cite

Abstract:The small Baseline Synthetic Aperture Radar (SAR) Interferometry (SBI) technique has been widely and successfully applied in various ground deformation monitoring applications. Over the last decade, a variety of SBI algorithms have been developed based on the same fundamental concepts. Recently developed SBI toolboxes provide an open environment for researchers to apply different SBI methods for various purposes. However, there has been no thorough discussion that compares the particular characteristics of different SBI methods and their corresponding performance in ground deformation reconstruction. Thus, two SBI toolboxes that implement a total of four SBI algorithms were selected for comparison. This study discusses and summarizes the main differences, pros and cons of these four SBI implementations, which could help users to choose a suitable SBI method for their specific application. The study focuses on exploring the suitability of each SBI module under various data set conditions, including small/large number of interferograms, the presence or absence of larger time gaps, urban/vegetation ground coverage, and temporally regular/irregular ground displacement with multiple spatial scales. Within this paper we discuss the corresponding theoretical background of each SBI method. We present a performance analysis of these SBI modules based on two real data sets characterized by different environmental and surface deformation conditions. The study shows that all four SBI processors are capable of generating similar ground deformation results when the data set has sufficient temporal sampling and a stable ground backscatter mechanism like urban area. Strengths and limitations of different SBI processors were analyzed based on data set configuration and environmental conditions and are summarized in this paper to guide future users of SBI techniques.

show abstract

Section: Geodetic Setting Of Study Areas and Sar Imagerymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Earth observations (EO) have served as an important information resource in DRM and has been applied to earthquakes [13][14][15], tsunami arrival predictions [16], volcanic hazards [17,18], floods [19][20][21][22][23], landslides [24,25], forest fires [26], and drought monitoring and prediction [27][28][29][30][31]. Earth observations can help to simultaneously capture the land condition of a broad area and are less expensive than field surveys.…”

Section: Earth Observationmentioning

confidence: 99%

“…Therefore, ground-based observation networks complement EO satellites in observation frequency, as shown in seismic monitoring applications [14,15]. For preparedness phases, ground-based observation networks can be applied to early warning systems, as shown in the example of tsunami warning.…”

Section: Earth Observationmentioning

confidence: 99%

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

Miyazaki

Nagai

Shibasaki

2015

IJGI

View full text Add to dashboard Cite

Due to the fact that geospatial information technology is considered necessary for disaster risk management (DRM), the need for more effective collaborations between providers and end users in data delivery is increasing. This paper reviews the following: (i) schemes of disaster risk management and collaborative data operation in DRM; (ii) geospatial information technology in terms of applications to the schemes reviewed; and (iii) ongoing practices of collaborative data delivery with the schemes reviewed. This paper concludes by discussing the future of collaborative data delivery and the progress of the technologies.

show abstract

“…8), has a significant compressional tectonic strain component oriented approximately north-south. However, accurate estimation of the amplitude of the tectonic rate of strain has been difficult due to contamination from other geophysical sources, particularly anthropogenic signals associated with groundwater pumping in the region (ARGUS and GORDON, 2001;BAWDEN et al, 2001;WATSON et al, 2002;LANARI et al, 2004;ARGUS et al, 2005;KING et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

An Elliptical Model for Deformation Due to Groundwater Fluctuations

Tiampo

Ouegnin

Valluri

et al. 2011

Pure Appl. Geophys.

View full text Add to dashboard Cite

Abstract-Historically, surface subsidence as a result of subsurface groundwater fluctuations have produced important and, at times, catastrophic effects, whether natural or anthropogenic. Over the past 30 years, numerical and analytical techniques for the modeling of this surface deformation, based upon elastic and poroelastic theory, have been remarkably successful in predicting the magnitude of that deformation (LE MOUÉLIC and ADRAGNA in Geophys Res Lett 29:1853, 2002). In this work we have extended the formula for a circular-shaped aquifer (Geertsma in J Petroleum Tech 25: [734][735][736][737][738][739][740][741][742][743][744] 1973) to a more realistic elliptical shape. We have improved the accuracy of the approximation by making use of the cross terms of the expansion for the elliptic coordinates in terms of the eccentricity, e, and the mean anomaly angle, M, widely used in astronomy. Results of a number of simulations, in terms of e and M developed from the transcendental Kepler equation, are encouraging, giving realistic values for the elliptical approximation of the vertical deformation due to groundwater change. Finally, we have applied the algorithm to modeling of groundwater in southern California.

show abstract

Satellite radar interferometry time series analysis of surface deformation for Los Angeles, California

Cited by 193 publications

References 11 publications

Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

An Elliptical Model for Deformation Due to Groundwater Fluctuations

Contact Info

Product

Resources

About