InSAR surface displacement field and fault modelling for the 2003 Bam earthquake (southeastern Iran)

Stramondo, Salvatore; Moro, Marco; Tolomei, Cristiano; Cinti, F. R.; Doumaz, Fawzi

doi:10.1016/j.jog.2005.07.013

Cited by 59 publications

(39 citation statements)

References 10 publications

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“…The comparison of the observed interferometric picture and modeled scheme of earthquake deformations shows many similar details ( Figure 5). Similar images have been obtained for all the significant earthquakes of the last decade: Neftegorsk, 1995, Russia [18], Bhuj, 2001, India [19]; Bam, 2003, Iran [20]; Sumatra (2004), Indonesia [21] etc. All these cases demonstrate co-seismic and post-seismic deformations.…”

Section: Insarsupporting

confidence: 62%

Satellite Remote Sensing in Seismology. A Review

Тронин

2009

Remote Sensing

110

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A wide range of satellite methods is applied now in seismology. The first applications of satellite data for earthquake exploration were initiated in the '70s, when active faults were mapped on satellite images. It was a pure and simple extrapolation of airphoto geological interpretation methods into space. The modern embodiment of this method is alignment analysis. Time series of alignments on the Earth's surface are investigated before and after the earthquake. A further application of satellite data in seismology is related with geophysical methods. Electromagnetic methods have about the same long history of application for seismology. Stable statistical estimations of ionosphere-lithosphere relation were obtained based on satellite ionozonds. The most successful current project "DEMETER" shows impressive results. Satellite thermal infra-red data were applied for earthquake research in the next step. Numerous results have confirmed previous observations of thermal anomalies on the Earth's surface prior to earthquakes. A modern trend is the application of the outgoing long-wave radiation for earthquake research. In '80s a new technology-satellite radar interferometry-opened a new page. Spectacular pictures of co-seismic deformations were presented. Current researches are moving in the direction of pre-earthquake deformation detection. GPS technology is also widely used in seismology both for ionosphere sounding and for ground movement detection. Satellite gravimetry has demonstrated its first very impressive results on the example of the catastrophic Indonesian earthquake in 2004. Relatively new applications of remote sensing for seismology as atmospheric sounding, gas observations, and cloud analysis are considered as possible candidates for applications.

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Section: Insarsupporting

confidence: 62%

Satellite Remote Sensing in Seismology. A Review

Тронин

2009

Remote Sensing

110

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“…This technique is very useful for disasters related to ground deformation. It can provide rapid observations on earthquake deformation in all kinds of weather and over large coverage areas at a centimeter-level accuracy, which is useful for measuring surface displacement following crustal movement induced by earthquakes [21,22]. Interferometric coherence products can assist in providing further details about observed damaged areas through analyses of the coherence change.…”

Section: Interferometric Sar Coherencementioning

confidence: 99%

Fusion of Multi-Temporal Interferometric Coherence and Optical Image Data for the 2016 Kumamoto Earthquake Damage Assessment

Tamkuan

Nagai

2017

IJGI

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Earthquakes are one of the most devastating types of natural disasters, and happen with little to no warning. This study combined Landsat-8 and interferometric ALOS-2 coherence data without training area techniques by classifying the remote sensing ratios of specific features for damage assessment. Waterbodies and highly vegetated areas were extracted by the modified normalized difference water index (MNDWI) and normalized difference vegetation index (NDVI), respectively, from after-earthquake images in order to improve the accuracy of damage maps. Urban areas were classified from pre-event interferometric coherence data. The affected areas from the earthquake were detected with the normalized difference (ND) between the pre-and co-event interferometric coherence. The results presented three damage types; namely, damage to buildings caused by ground motion, liquefaction, and landslides. The overall accuracy (94%) of the confusion matrix was excellent. Results for urban areas were divided into three damage levels (e.g., none-slight, slight-heavy, heavy-destructive) at a high (90%) overall accuracy level. Moreover, data on buildings damaged by liquefaction and landslides were in good agreement with field survey information. Overall, this study illustrates an effective damage assessment mapping approach that can support post-earthquake management activities for future events, especially in areas where geographical data are sparse.

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“…InSAR derived surface displacement inversion can be used for estimating geophysical source models at depth that cause surface deformation [13][14][15]. In this paper, we use a finite rectangular opening-mode dislocation source in homogeneous elastic half-space [7] to simulate the observed uplift in Staufen.…”

Section: Source Modelingmentioning

confidence: 99%

Ground Surface Response to Geothermal Drilling and the Following Counteractions in Staufen im Breisgau (Germany) Investigated by TerraSAR-X Time Series Analysis and Geophysical Modeling

2014

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Abstract:The city of Staufen im Breisgau in southwest Germany suffers from a localized land uplift, which has occurred in the past six years in relation to geothermal drilling activities in 2007. So far, severe damages at 269 buildings have been recorded. The chemical transformation of anhydrite and water to gypsum, resulting in a volume increase, has been attributed as the cause of the uplift. Previous studies provide knowledge on the spatio-temporal displacement evolution from 2008 through 2011 using leveling and spaceborne Synthetic Aperture Radar Interferometry (InSAR) measurements, but lack a detailed representation of vertical and horizontal displacement contributions as well as geophysical modeling. This study focuses not only on continued observation analysis from June 2011 through July 2013, but also on obtaining and evaluating horizontal displacements in Staufen based on combined analysis of TerraSAR-X satellite imagery from both ascending and descending orbits. Applying the Small BAseline Subset (SBAS) approach a deceleration of annual cumulative line of sight (LOS) uplift is observable from 13.

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InSAR surface displacement field and fault modelling for the 2003 Bam earthquake (southeastern Iran)

Cited by 59 publications

References 10 publications

Satellite Remote Sensing in Seismology. A Review

Satellite Remote Sensing in Seismology. A Review

Fusion of Multi-Temporal Interferometric Coherence and Optical Image Data for the 2016 Kumamoto Earthquake Damage Assessment

Ground Surface Response to Geothermal Drilling and the Following Counteractions in Staufen im Breisgau (Germany) Investigated by TerraSAR-X Time Series Analysis and Geophysical Modeling

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