Fault-Slip Source Models for the 2011 M 7.1 Van Earthquake in Turkey from SAR Interferometry, Pixel Offset Tracking, GPS, and Seismic Waveform Analysis

2013 ◽  
Vol 84 (4) ◽  
pp. 579-593 ◽  
Author(s):  
E. J. Fielding ◽  
P. R. Lundgren ◽  
T. Taymaz ◽  
S. Yolsal-Cevikbilen ◽  
S. E. Owen
Keyword(s):  
Fault Slip ◽  
Sar Interferometry ◽  
Waveform Analysis ◽  
Van Earthquake ◽  
Seismic Waveform ◽  
Source Models ◽  
Offset Tracking ◽  
Pixel Offset Tracking

scholarly journals Kinematic fault slip evolution source models of the 2008 M7.9 Wenchuan earthquake in China from SAR interferometry, GPS and teleseismic analysis and implications for Longmen Shan tectonics

2013 ◽  
Vol 194 (2) ◽  
pp. 1138-1166 ◽  
Author(s):  
Eric J. Fielding ◽  
Anthony Sladen ◽  
Zhenhong Li ◽  
Jean-Philippe Avouac ◽  
Roland Bürgmann ◽  
...  
Keyword(s):  
Wenchuan Earthquake ◽  
Fault Slip ◽  
Sar Interferometry ◽  
Source Models

Adaptive Gaussian Mixture Model and Convolution Autoencoder Clustering for Unsupervised Seismic Waveform Analysis

2021 ◽  
pp. 1-46
Author(s):  
Donglin Zhu ◽  
Jingbin Cui ◽  
Yan Li ◽  
Zhonghong Wan ◽  
Lei Li
Keyword(s):  
Feature Extraction ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Facies Analysis ◽  
Gaussian Mixture ◽  
Seismic Facies ◽  
Waveform Analysis ◽  
Western China ◽  
Reservoir Properties ◽  
Seismic Waveform

Seismic facies analysis can effectively estimate reservoir properties and seismic waveform clustering is a useful tool for facies analysis. We developed a deep learning-based clustering approach called the modified deep convolutional embedded clustering with adaptive Gaussian mixture model (AGMM-MDCEC) for seismic waveform clustering. Trainable feature extraction and clustering layers in AGMM-MDCEC are implemented using neural networks. The two independent processes of feature extraction and clustering are fused, such that extracted features are modified simultaneously with the results of clustering. A convolutional autoencoder is used in the algorithm for extracting features from seismic data and reduce data redundancy. At the same time, weights of clustering network are fined-tuned through iteration to obtain state-of-the-art clustering results. We apply our new classification algorithm to a data volume acquired in western China to map architectural elements of a complex fluvial depositional system. Our proposed method obtains superior results over those provided by traditional K-means, Gaussian mixture model, and some machine learning methods, and improves the mapping of the extent of the distributary system.

Coseismic and postseismic slip models of the 2011 Van earthquake, Turkey, from InSAR, offset-tracking, MAI, and GPS observations

2015 ◽  
Vol 91 ◽  
pp. 39-50 ◽  
Author(s):  
Chisheng Wang ◽  
Xiaoli Ding ◽  
Qingquan Li ◽  
Xinjian Shan ◽  
Wu Zhu ◽  
...  
Keyword(s):  
Van Earthquake ◽  
Offset Tracking ◽  
2011 Van Earthquake ◽  
Postseismic Slip ◽  
Gps Observations

The analysis of historical seismograms: an important tool for seismic hazard assessment. Case histories from French and Italian earthquakes

2011 ◽  
Vol 182 (4) ◽  
pp. 367-379 ◽  
Author(s):  
Nicola Alessandro Pino
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Southern Italy ◽  
Source Parameters ◽  
Seismic Hazard Assessment ◽  
Historical Earthquakes ◽  
Waveform Analysis ◽  
Source Characteristics ◽  
Seismic Waveform ◽  
Earthquake Source Parameters

AbstractSeismic hazard assessment relies on the knowledge of the source characteristics of past earthquakes. Unfortunately, seismic waveform analysis, representing the most powerful tool for the investigation of earthquake source parameters, is only possible for events occurred in the last 100–120 years, i.e., since seismographs with known response function were developed. Nevertheless, during this time significant earthquakes have been recorded by such instruments and today, also thanks to technological progress, these data can be recovered and analysed by means of modern techniques.In this paper, aiming at giving a general sketch of possible analyses and attainable results in historical seismogram studies, I briefly describe the major difficulties in processing the original waveforms and present a review of the results that I obtained from previous seismogram analysis of selected significant historical earthquakes occurred during the first decades of the XXth century, including (A) the December 28, 1908, Messina straits (southern Italy), (B) the June 11, 1909, Lambesc (southern France) – both of which are the strongest ever recorded instrumentally in their respective countries –and (C) the July 13, 1930, Irpinia (southern Italy) events. For these earthquakes, the major achievements are represented by the assessment of the seismic moment (A, B, C), the geometry and kinematics of faulting (B, C), the fault length and an approximate slip distribution (A, C). The source characteristics of the studied events have also been interpreted in the frame of the tectonic environment active in the respective region of interest. In spite of the difficulties inherent to the investigation of old seismic data, these results demonstrate the invaluable and irreplaceable role of historical seismogram analysis in defining the local seismogenic potential and, ultimately, for assessing the seismic hazard. The retrieved information is crucial in areas where important civil engineering works are planned, as in the case of the single-span bridge to be built across the Messina straits and the ITER nuclear fusion power plant to be built in Cadarache, close to the location of the Lambesc event, and in regions characterized by high seismic risk, such as southern Apennines.

scholarly journals Offset tracking procedure applied to high resolution SAR data on Viedma Glacier, Patagonian Andes, Argentina

2013 ◽  
Vol 35 ◽  
pp. 7-13 ◽  
Author(s):  
N. Riveros ◽  
L. Euillades ◽  
P. Euillades ◽  
S. Moreiras ◽  
S. Balbarani
Keyword(s):  
High Resolution ◽  
Large Study ◽  
Sar Interferometry ◽  
Santa Cruz ◽  
Sar Images ◽  
Ice Flow ◽  
Displacement Maps ◽  
Patagonian Andes ◽  
Offset Tracking ◽  
Differential Sar Interferometry

Abstract. Main aim of this work is to explore the suitability of high resolution SAR images for measuring ice flow velocity within glaciers. Available techniques for this purpose are Differential SAR Interferometry (DInSAR) and Offset Tracking. The former, although theoretically much more precise, is frequently limited by coherence loss (or lacking of coherence) in glacier environment. The latter constitutes an alternative that works well when displacements are large. Study area is the Viedma Glacier (Santa Cruz, Argentina), one of the largest uncovered ice bodies in the South Patagonian Ice (SPI). High resolution COSMO-SkyMed (CSK) acquisitions were processed by estimating range and azimuth offset fields. Useful results, consisting in displacement maps showing areas with different fast-flowing units, were obtained by Offset Tracking processing.

scholarly journals Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

2019 ◽  
Vol 11 (3) ◽  
pp. 369 ◽  
Author(s):  
Donato Amitrano ◽  
Raffaella Guida ◽  
Domenico Dell’Aglio ◽  
Gerardo Di Martino ◽  
Diego Di Martire ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Satellite Monitoring ◽  
Debris Slide ◽  
Long Term Monitoring ◽  
Offset Tracking ◽  
Term Monitoring ◽  
Pixel Offset Tracking ◽  
Aperture Radar

Kinematic characterization of a landslide at large, small, and detailed scale is today still rare and challenging, especially for long periods, due to the difficulty in implementing demanding ground surveys with adequate spatiotemporal coverage. In this work, the suitability of space-borne synthetic aperture radar sub-pixel offset tracking for the long-term monitoring of the Slumgullion landslide in Colorado (US) is investigated. This landslide is classified as a debris slide and has so far been monitored through ground surveys and, more recently, airborne remote sensing, while satellite images are scarcely exploited. The peculiarity of this landslide is that it is subject to displacements of several meters per year. Therefore, it cannot be monitored with traditional synthetic aperture radar differential interferometry, as this technique has limitations related to the loss of interferometric coherence and to the maximum observable displacement gradient/rate. In order to overcome these limitations, space-borne synthetic aperture radar sub-pixel offset tracking is applied to pairs of images acquired with a time span of one year between August 2011 and August 2013. The obtained results are compared with those available in the literature, both at landslide scale, retrieved through field surveys, and at point scale, using airborne synthetic aperture radar imaging and GPS. The comparison showed full congruence with the past literature. A consistency check covering the full observation period is also implemented to confirm the reliability of the technique, which results in a cheap and effective methodology for the long-term monitoring of large landslide-induced movements.

scholarly journals Fault slip source models for the 2014 M w 6.9 Samothraki‐Gökçeada earthquake (North Aegean Trough) combining geodetic and seismological observations

2015 ◽  
Vol 120 (12) ◽  
pp. 8610-8622 ◽  
Author(s):  
Vasso Saltogianni ◽  
Michail Gianniou ◽  
Tuncay Taymaz ◽  
Seda Yolsal‐Çevikbilen ◽  
Stathis Stiros
Keyword(s):  
Fault Slip ◽  
Source Models ◽  
North Aegean
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