Ives, R.B.[Russell B.],
The application of advanced pattern recognition techniques for the
discrimination between earthquakes and nuclear detonations,
PR(14), No. 1-6, 1981, pp. 155-161.
Elsevier DOI
0309
BibRef
Zhou, Z.Q.[Zi-Qin],
Adeli, H.[Hojjat],
Wavelet energy spectrum for time-frequency localization of earthquake
energy,
IJIST(13), No. 2, 2003, pp. 133-140.
WWW Link.
0308
BibRef
Panagiotakis, C.[Costas],
Kokinou, E.[Eleni],
Sarris, A.,
Curvilinear Structure Enhancement and Detection in Geophysical Images,
GeoRS(49), No. 6, June 2011, pp. 2040-2048.
IEEE DOI
1106
BibRef
Panagiotakis, C.[Costas],
Kokinou, E.[Eleni],
Automatic Enhancement and Detection of Active Sea Faults from
Bathymetry,
ICPR14(855-860)
IEEE DOI
1412
Earthquakes
BibRef
Qin, K.[Kai],
Wu, L.X.[Li-Xin],
Zheng, S.[Shuo],
Liu, S.[Shanjun],
A Deviation-Time-Space-Thermal (DTS-T) Method for Global Earth
Observation System of Systems (GEOSS)-Based Earthquake Anomaly
Recognition: Criterions and Quantify Indices,
RS(5), No. 10, 2013, pp. 5143-5151.
DOI Link
1311
BibRef
Alexandridis, A.,
Chondrodima, E.,
Efthimiou, E.,
Papadakis, G.,
Vallianatos, F.,
Triantis, D.,
Large Earthquake Occurrence Estimation Based on Radial Basis Function
Neural Networks,
GeoRS(52), No. 9, September 2014, pp. 5443-5453.
IEEE DOI
1407
earthquakes
BibRef
El Gharbawi, T.[Tamer],
Tamura, M.[Masayuki],
Estimating deformation due to soil liquefaction in Urayasu city,
Japan using permanent scatterers,
PandRS(109), No. 1, 2015, pp. 152-164.
Elsevier DOI
1512
2011 Tohoku earthquake
BibRef
Wen, Y.M.[Yang-Mao],
Xu, C.J.[Cai-Jun],
Liu, Y.[Yang],
Jiang, G.[Guoyan],
Deformation and Source Parameters of the 2015 Mw 6.5 Earthquake in
Pishan, Western China, from Sentinel-1A and ALOS-2 Data,
RS(8), No. 2, 2016, pp. 134.
DOI Link
1603
BibRef
Xu, G.Y.[Guang-Yu],
Xu, C.J.[Cai-Jun],
Wen, Y.M.[Yang-Mao],
Jiang, G.[Guoyan],
Source Parameters of the 2016-2017 Central Italy Earthquake Sequence
from the Sentinel-1, ALOS-2 and GPS Data,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Wang, S.[Shuai],
Xu, C.J.[Cai-Jun],
Wen, Y.M.[Yang-Mao],
Yin, Z.[Zhi],
Jiang, G.[Guoyan],
Fang, L.H.[Li-Hua],
Slip Model for the 25 November 2016 Mw 6.6 Aketao Earthquake, Western
China, Revealed by Sentinel-1 and ALOS-2 Observations,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Solaro, G.[Giuseppe],
de Novellis, V.[Vincenzo],
Castaldo, R.[Raffaele],
de Luca, C.[Claudio],
Lanari, R.[Riccardo],
Manunta, M.[Michele],
Casu, F.[Francesco],
Coseismic Fault Model of Mw 8.3 2015 Illapel Earthquake (Chile)
Retrieved from Multi-Orbit Sentinel1-A DInSAR Measurements,
RS(8), No. 4, 2016, pp. 323.
DOI Link
1604
BibRef
Xu, B.[Bing],
Li, Z.W.[Zhi-Wei],
Feng, G.C.[Guang-Cai],
Zhang, Z.Y.[Ze-Yu],
Wang, Q.J.[Qi-Jie],
Hu, J.[Jun],
Chen, X.G.[Xing-Guo],
Continent-Wide 2-D Co-Seismic Deformation of the 2015 Mw 8.3 Illapel,
Chile Earthquake Derived from Sentinel-1A Data: Correction of Azimuth
Co-Registration Error,
RS(8), No. 5, 2016, pp. 376.
DOI Link
1606
BibRef
Luo, H.P.[Hai-Peng],
Chen, T.[Ting],
Three-Dimensional Surface Displacement Field Associated with the 25
April 2015 Gorkha, Nepal, Earthquake: Solution from Integrated InSAR
and GPS Measurements with an Extended SISTEM Approach,
RS(8), No. 7, 2016, pp. 559.
DOI Link
1608
BibRef
Li, Y.S.[Yong-Sheng],
Jiang, W.L.[Wen-Liang],
Zhang, J.F.[Jing-Fa],
Luo, Y.[Yi],
Space Geodetic Observations and Modeling of 2016 Mw 5.9 Menyuan
Earthquake: Implications on Seismogenic Tectonic Motion,
RS(8), No. 6, 2016, pp. 519.
DOI Link
1608
BibRef
Liu, Y.[Yang],
Xu, C.J.[Cai-Jun],
Li, Z.H.[Zhen-Hong],
Wen, Y.M.[Yang-Mao],
Chen, J.J.[Jia-Jun],
Li, Z.C.[Zhi-Cai],
Time-Dependent Afterslip of the 2009 Mw 6.3 Dachaidan Earthquake
(China) and Viscosity beneath the Qaidam Basin Inferred from
Postseismic Deformation Observations,
RS(8), No. 8, 2016, pp. 649.
DOI Link
1609
BibRef
And:
Correction:
RS(8), No. 9, 2016, pp. 784.
DOI Link
1610
BibRef
Albano, M.[Matteo],
Polcari, M.[Marco],
Bignami, C.[Christian],
Moro, M.[Marco],
Saroli, M.[Michele],
Stramondo, S.[Salvatore],
Did Anthropogenic Activities Trigger the 3 April 2017 Mw 6.5 Botswana
Earthquake?,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Zhong, S.H.[Shu-Han],
Xu, C.J.[Cai-Jun],
Yi, L.[Lei],
Li, Y.Y.[Yan-Yan],
Focal Mechanisms of the 2016 Central Italy Earthquake Sequence
Inferred from High-Rate GPS and Broadband Seismic Waveforms,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Lindenbaum, O.,
Bregman, Y.,
Rabin, N.,
Averbuch, A.,
Multiview Kernels for Low-Dimensional Modeling of Seismic Events,
GeoRS(56), No. 6, June 2018, pp. 3300-3310.
IEEE DOI
1806
Data models, Dimensionality reduction, Earthquakes, Estimation,
Kernel, Manifolds, Principal component analysis,
seismic discrimination
BibRef
Li, Y.C.[Yan-Chuan],
Zhang, G.H.[Guo-Hong],
Shan, X.J.[Xin-Jian],
Liu, Y.H.[Yun-Hua],
Wu, Y.Q.[Yan-Qiang],
Liang, H.B.[Hong-Bao],
Qu, C.Y.[Chun-Yan],
Song, X.G.[Xiao-Gang],
GPS-Derived Fault Coupling of the Longmenshan Fault Associated with
the 2008 Mw Wenchuan 7.9 Earthquake and Its Tectonic Implications,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Costanzo, A.[Antonio],
Shaking Maps Based on Cumulative Absolute Velocity and Arias
Intensity: The Cases of the Two Strongest Earthquakes of the
2016-2017 Central Italy Seismic Sequence,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Yang, Y.H.[Ying-Hui],
Hu, J.C.[Jyr-Ching],
Tung, H.[Hsin],
Tsai, M.C.[Min-Chien],
Chen, Q.A.[Qi-Ang],
Xu, Q.[Qian],
Zhang, Y.J.[Yi-Jun],
Zhao, J.J.[Jing-Jing],
Liu, G.X.[Guo-Xiang],
Xiong, J.N.[Jun-Nan],
Wang, J.Y.[Ji-Yan],
Yu, B.[Bing],
Chiu, C.Y.[Chun-Ying],
Su, Z.[Zhe],
Co-Seismic and Postseismic Fault Models of the 2018 Mw 6.4 Hualien
Earthquake Occurred in the Junction of Collision and Subduction
Boundaries Offshore Eastern Taiwan,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Wu, Y.L.[Yanq-Liang],
Jiang, Z.[Zaisen],
Liang, H.B.[Hong-Bao],
Pang, Y.[Yajin],
Zhu, S.[Shuang],
Chang, L.[Liu],
Chen, C.Y.[Chang-Yun],
Li, J.W.[Jing-Wei],
Deformation Response of Seismogenic Faults to the Wenchuan MS 8.0
Earthquake: A Case Study for the Southern Segment of the Longmenshan
Fault Zone,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Polcari, M.[Marco],
Albano, M.[Matteo],
Atzori, S.[Simone],
Bignami, C.[Christian],
Stramondo, S.[Salvatore],
The Causative Fault of the 2016 Mwp 6.1 Petermann Ranges Intraplate
Earthquake (Central Australia) Retrieved by C- and L-Band InSAR Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Guo, R.[Rumeng],
Zheng, Y.[Yong],
Tian, W.[Wen],
Xu, J.Q.[Jian-Qiao],
Zhang, W.T.[Wen-Ting],
Locking Status and Earthquake Potential Hazard along the Middle-South
Xianshuihe Fault,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Al-Husseinawi, Y.[Yasir],
Li, Z.H.[Zhen-Hong],
Clarke, P.[Peter],
Edwards, S.[Stuart],
Evaluation of the Stability of the Darbandikhan Dam after the 12
November 2017 Mw 7.3 Sarpol-e Zahab (Iran-Iraq Border) Earthquake,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Yang, C.S.[Cheng-Sheng],
Han, B.Q.[Bing-Quan],
Zhao, C.Y.[Chao-Ying],
Du, J.T.[Jian-Tao],
Zhang, D.X.[Dong-Xiao],
Zhu, S.[Sainan],
Co- and post-seismic Deformation Mechanisms of the MW 7.3 Iran
Earthquake (2017) Revealed by Sentinel-1 InSAR Observations,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Li, Y.C.[Yan-Chuan],
Shan, X.J.[Xin-Jian],
Qu, C.Y.[Chun-Yan],
Geodetic Constraints on the Crustal Deformation along the Kunlun
Fault and Its Tectonic Implications,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Kim, K.E.[Kwang-Eun],
Detection of Liquefaction Phenomena from the 2017 Pohang (Korea)
Earthquake Using Remote Sensing Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Wang, Y.Z.[Yong-Zhe],
Feng, W.P.[Wan-Peng],
Chen, K.[Kun],
Samsonov, S.[Sergey],
Source Characteristics of the 28 September 2018 Mw 7.4 Palu,
Indonesia, Earthquake Derived from the Advanced Land Observation
Satellite 2 Data,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Pan, Y.J.[Yuan-Jin],
Chen, R.Z.[Rui-Zhi],
Ding, H.[Hao],
Xu, X.Y.[Xin-Yu],
Zheng, G.[Gang],
Shen, W.B.[Wen-Bin],
Xiao, Y.X.[Yi-Xin],
Li, S.[Shuya],
Common Mode Component and Its Potential Effect on GPS-Inferred
Three-Dimensional Crustal Deformations in the Eastern Tibetan Plateau,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Gong, W.Y.[Wen-Yu],
Zhang, Y.[Yingfeng],
Li, T.[Tao],
Wen, S.[Shaoyan],
Zhao, D.[Dezheng],
Hou, L.Y.[Li-Yan],
Shan, X.J.[Xin-Jian],
Multi-Sensor Geodetic Observations and Modeling of the 2017 Mw 6.3
Jinghe Earthquake,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Ni, Z.Y.[Zhong-Yun],
Yang, Z.Y.[Zhen-Yu],
Li, W.[Weile],
Zhao, Y.B.[Yin-Bing],
He, Z.W.[Zheng-Wei],
Decreasing Trend of Geohazards Induced by the 2008 Wenchuan
Earthquake Inferred from Time Series NDVI Data,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Meng, G.J.[Guo-Jie],
Su, X.N.[Xiao-Ning],
Wu, W.W.[Wei-Wei],
Nikolay, S.[Shestakov],
Takahashi, H.[Hiroaki],
Ohzono, M.[Mako],
Gerasimenko, M.[Mikhail],
Crustal Deformation of Northeastern China Following the 2011 Mw 9.0
Tohoku, Japan Earthquake Estimated from GPS Observations: Strain
Heterogeneity and Seismicity,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Guo, Z.L.[Ze-Long],
Wen, Y.M.[Yang-Mao],
Xu, G.[Guangyu],
Wang, S.[Shuai],
Wang, X.H.[Xiao-Hang],
Liu, Y.[Yang],
Xu, C.J.[Cai-Jun],
Fault Slip Model of the 2018 Mw 6.6 Hokkaido Eastern Iburi, Japan,
Earthquake Estimated from Satellite Radar and GPS Measurements,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Karimzadeh, S.[Sadra],
Matsuoka, M.[Masashi],
Kuang, J.M.[Jian-Ming],
Ge, L.L.[Lin-Lin],
Spatial Prediction of Aftershocks Triggered by a Major Earthquake:
A Binary Machine Learning Perspective,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Zhu, W.,
Mousavi, S.M.,
Beroza, G.C.,
Seismic Signal Denoising and Decomposition Using Deep Neural Networks,
GeoRS(57), No. 11, November 2019, pp. 9476-9488.
IEEE DOI
1911
Noise reduction, Neural networks, Noise measurement, Transforms,
Time-domain analysis, Earthquakes, Deep learning,
seismic denoising
BibRef
Chin, T.,
Huang, C.,
Shen, S.,
Tsai, Y.,
Hu, Y.H.,
Wu, Y.,
Learn to Detect: Improving the Accuracy of Earthquake Detection,
GeoRS(57), No. 11, November 2019, pp. 8867-8878.
IEEE DOI
1911
Earthquakes, Seismic waves, Acceleration, Machine learning,
Monitoring, Support vector machines, Alarm systems,
machine learning
BibRef
Song, C.[Chuang],
Yu, C.[Chen],
Li, Z.H.[Zhen-Hong],
Li, Y.S.[Yong-Sheng],
Xiao, R.[Ruya],
Coseismic Slip Distribution of the 2019 Mw 7.5 New Ireland Earthquake
from the Integration of Multiple Remote Sensing Techniques,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Yalcin, I.[Ilyas],
Kocaman, S.[Sultan],
Gokceoglu, C.[Candan],
A CitSci Approach for Rapid Earthquake Intensity Mapping:
A Case Study from Istanbul (Turkey),
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Liu, Q.Q.[Qin-Qin],
de Santis, A.[Angelo],
Piscini, A.[Alessandro],
Cianchini, G.[Gianfranco],
Ventura, G.[Guido],
Shen, X.[Xuhui],
Multi-Parametric Climatological Analysis Reveals the Involvement of
Fluids in the Preparation Phase of the 2008 Ms 8.0 Wenchuan and 2013
Ms 7.0 Lushan Earthquakes,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Lv, X.[Xiaoran],
Amelung, F.[Falk],
Shao, Y.[Yun],
Ye, S.[Shu],
Liu, M.[Ming],
Xie, C.[Chou],
Rheology of the Zagros Lithosphere from PostSeismic Deformation of
the 2017 Mw7.3 Kermanshah, Iraq, Earthquake,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Chin, T.,
Chen, K.,
Chen, D.,
Lin, D.,
Intelligent Real-Time Earthquake Detection by Recurrent Neural
Networks,
GeoRS(58), No. 8, August 2020, pp. 5440-5449.
IEEE DOI
2007
Earthquakes, Logic gates, Real-time systems,
Recurrent neural networks, Data models, Detectors,
recurrent neural network (RNN)
BibRef
Daout, S.[Simon],
Steinberg, A.[Andreas],
Isken, M.P.[Marius Paul],
Heimann, S.[Sebastian],
Sudhaus, H.[Henriette],
Illuminating the Spatio-Temporal Evolution of the 2008-2009 Qaidam
Earthquake Sequence with the Joint Use of Insar Time Series and
Teleseismic Data,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
BibRef
He, P.[Ping],
Wen, Y.M.[Yang-Mao],
Ding, K.[Kaihua],
Xu, C.J.[Cai-Jun],
Normal Faulting in the 2020 Mw 6.2 Yutian Event:
Implications for Ongoing E-W Thinning in Northern Tibet,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Chen, C.H.[Chieh-Hung],
Lin, L.C.[Li-Ching],
Yeh, T.K.[Ta-Kang],
Wen, S.[Strong],
Yu, H.Z.[Huai-Zhong],
Yu, C.[Chen],
Gao, Y.X.[Yong-Xin],
Han, P.[Peng],
Sun, Y.Y.[Yang-Yi],
Liu, J.Y.[Jann-Yenq],
Lin, C.H.[Cheng-Horng],
Tang, C.C.[Chi-Chia],
Lin, C.M.[Che-Min],
Hsieh, H.H.[Hung-Hao],
Lu, P.J.[Pin-Ji],
Determination of Epicenters before Earthquakes Utilizing Far Seismic
and GNSS Data: Insights from Ground Vibrations,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Huang, M.,
Zhou, Y.,
Lu, L.,
Zheng, W.,
Zhang, P.,
Some Thoughts on Measuring Earthquake Deformation Using Optical
Imagery,
GeoRS(58), No. 2, February 2020, pp. 1052-1062.
IEEE DOI
2001
Earthquakes, Optical imaging, Adaptive optics,
Optical variables measurement, Optical sensors, Strain,
orthorectification errors
BibRef
Chen, C.H.[Chieh-Hung],
Yeh, T.K.[Ta-Kang],
Wen, S.[Strong],
Meng, G.[Guojie],
Han, P.[Peng],
Tang, C.C.[Chi-Chia],
Liu, J.Y.[Jann-Yenq],
Wang, C.H.[Chung-Ho],
Unique Pre-Earthquake Deformation Patterns in the Spatial Domains
from GPS in Taiwan,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Rashidian, V.[Vahid],
Baise, L.G.[Laurie G.],
Koch, M.[Magaly],
Using High Resolution Optical Imagery to Detect Earthquake-Induced
Liquefaction: The 2011 Christchurch Earthquake,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Caporali, A.[Alessandro],
Floris, M.[Mario],
Chen, X.[Xue],
Nurce, B.[Bilbil],
Bertocco, M.[Mauro],
Zurutuza, J.[Joaquin],
The November 2019 Seismic Sequence in Albania: Geodetic Constraints
and Fault Interaction,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Derakhshan, S.[Sahar],
Cutter, S.L.[Susan L.],
Wang, C.Z.[Cui-Zhen],
Remote Sensing Derived Indices for Tracking Urban Land Surface Change
in Case of Earthquake Recovery,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Sparacino, F.[Federica],
Palano, M.[Mimmo],
Peláez, J.A.[José Antonio],
Fernández, J.[José],
Geodetic Deformation versus Seismic Crustal Moment-Rates:
Insights from the Ibero-Maghrebian Region,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Chen, C.H.[Chieh-Hung],
Su, X.N.[Xiao-Ning],
Cheng, K.C.[Kai-Chien],
Meng, G.[Guojie],
Wen, S.[Strong],
Han, P.[Peng],
Seismo-Deformation Anomalies Associated with the M6.1 Ludian
Earthquake on August 3, 2014,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Escayo, J.[Joaquín],
Fernández, J.[José],
Prieto, J.F.[Juan F.],
Camacho, A.G.[Antonio G.],
Palano, M.[Mimmo],
Aparicio, A.[Alfredo],
Rodríguez-Velasco, G.[Gema],
Ancochea, E.[Eumenio],
Geodetic Study of the 2006-2010 Ground Deformation in La Palma
(Canary Islands): Observational Results,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Cambiotti, G.[Gabriele],
Palano, M.[Mimmo],
Orecchio, B.[Barbara],
Marotta, A.M.[Anna Maria],
Barzaghi, R.[Riccardo],
Neri, G.[Giancarlo],
Sabadini, R.[Roberto],
New Insights into Long-Term Aseismic Deformation and Regional Strain
Rates from GNSS Data Inversion: The Case of the Pollino and
Castrovillari Faults,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Li, C.L.[Cheng-Long],
Zhang, G.H.[Guo-Hong],
Shan, X.J.[Xin-Jian],
Zhao, D.Z.[De-Zheng],
Song, X.G.[Xiao-Gang],
Geometric Variation in the Surface Rupture of the 2018 Mw7.5 Palu
Earthquake from Subpixel Optical Image Correlation,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Piersanti, M.[Mirko],
Materassi, M.[Massimo],
Battiston, R.[Roberto],
Carbone, V.[Vincenzo],
Cicone, A.[Antonio],
d'Angelo, G.[Giulia],
Diego, P.[Piero],
Ubertini, P.[Pietro],
Magnetospheric-Ionospheric-Lithospheric Coupling Model. 1:
Observations during the 5 August 2018 Bayan Earthquake,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Qureshi, K.A.[Kamil A.],
Khan, S.D.[Shuhab D.],
Active Tectonics of the Frontal Himalayas: An Example from the Manzai
Ranges in the Recess Setting, Western Pakistan,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Mousavi, S.M.,
Beroza, G.C.,
Bayesian-Deep-Learning Estimation of Earthquake Location From
Single-Station Observations,
GeoRS(58), No. 11, November 2020, pp. 8211-8224.
IEEE DOI
2011
Uncertainty, Earthquakes, Bayes methods, Convolution, Data models,
Estimation, Neural networks, AI, Bayesian neural networks,
source characterization
BibRef
Zhao, S.F.[Shu-Fan],
Shen, X.H.[Xu-Hui],
Liao, L.[Li],
Zhima, Z.[Zeren],
Zhou, C.[Chen],
Wang, Z.K.[Zhuang-Kai],
Cui, J.[Jing],
Lu, H.X.[Heng-Xin],
Investigation of Precursors in VLF Subionospheric Signals Related to
Strong Earthquakes (M > 7) in Western China and Possible
Explanations,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Xiong, P.[Pan],
Long, C.[Cheng],
Zhou, H.Y.[Hui-Yu],
Battiston, R.[Roberto],
Zhang, X.M.[Xue-Min],
Shen, X.[Xuhui],
Identification of Electromagnetic Pre-Earthquake Perturbations from
the DEMETER Data by Machine Learning,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
He, Z.Q.[Zhong-Qiu],
Chen, T.[Ting],
Wang, M.C.[Ming-Ce],
Li, Y.C.[Yan-Chong],
Multi-Segment Rupture Model of the 2016 Kumamoto Earthquake Revealed
by InSAR and GPS Data,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Yue, C.[Chong],
Qu, C.Y.[Chun-Yan],
Shan, X.J.[Xin-Jian],
Yan, W.[Wei],
Zhao, J.[Jing],
Yu, H.[Huaizhong],
Ma, W.Y.[Wei-Yu],
Yao, Q.[Qi],
Numerical Simulation Study on the Influence of Branching Structure of
Longmen Shan Thrust Belt on the Nucleation of Mw7.9 Wenchuan
Earthquake,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Su, Q.[Qi],
Wang, X.[Xianyan],
Lu, H.[Huayu],
Xie, H.[Hong],
Dynamic Divide Migration as a Response to Asymmetric Uplift:
An Example from the Zhongtiao Shan, North China,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Mezyk, M.[Milosz],
Chamarczuk, M.[Michal],
Malinowski, M.[Michal],
Automatic Image-Based Event Detection for Large-N Seismic Arrays
Using a Convolutional Neural Network,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Li, Z.,
Luo, Y.,
Wang, Y.,
Seismic facies pattem recognition based on 3D Gabor transform and
two-step clustering analysis,
CVIDL20(201-205)
IEEE DOI
2102
geophysical techniques, seismology, faults, seismic facies map,
seismic simulation data, unsupervised pattern recognition,
gabor transform
BibRef
Qi, Y.,
Wu, L.,
Mao, W.,
Ding, Y.,
He, M.,
Discriminating Possible Causes of Microwave Brightness Temperature
Positive Anomalies Related With May 2008 Wenchuan Earthquake Sequence,
GeoRS(59), No. 3, March 2021, pp. 1903-1916.
IEEE DOI
2103
Earthquakes, Microwave theory and techniques, Geology, Stress,
Spatiotemporal phenomena, Brightness temperature, Dielectrics,
remote sensing
BibRef
Li, X.[Xuelei],
Jia, Z.[Zhuo],
Du, N.Q.[Nan-Qiao],
Xu, Y.[Yi],
Zhang, G.[Gongbo],
Structural Characteristics of Moho Surface Based on Time Series
Function of Natural Earthquakes,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Zhang, Y.[Ying],
Meng, Q.[Qingyan],
Wang, Z.[Zian],
Lu, X.[Xian],
Hu, D.[Die],
Temperature Variations in Multiple Air Layers before the Mw 6.2 2014
Ludian Earthquake, Yunnan, China,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Valkanou, K.[Kanella],
Karymbalis, E.[Efthimios],
Papanastassiou, D.[Dimitris],
Soldati, M.[Mauro],
Chalkias, C.[Christos],
Gaki-Papanastassiou, K.[Kalliopi],
Assessment of Neotectonic Landscape Deformation in Evia Island,
Greece, Using GIS-Based Multi-Criteria Analysis,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Markušic, S.[Snježana],
Stanko, D.[Davor],
Penava, D.[Davorin],
Ivancic, I.[Ines],
Oršulic, O.B.[Olga Bjelotomic],
Korbar, T.[Tvrtko],
Sarhosis, V.[Vasilis],
Destructive M6.2 Petrinja Earthquake (Croatia) in 2020:
Preliminary Multidisciplinary Research,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Kutoglu, H.S.[Hakan S.],
Becek, K.[Kazimierz],
Analysis of Ocean Bottom Pressure Anomalies and Seismic Activities in
the MedRidge Zone,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Rashwan, M.[Mohamed],
Sawires, R.[Rashad],
Radwan, A.M.[Ali M.],
Sparacino, F.[Federica],
Peláez, J.A.[José Antonio],
Palano, M.[Mimmo],
Crustal Strain and Stress Fields in Egypt from Geodetic and
Seismological Data,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Nappi, R.[Rosa],
Paoletti, V.[Valeria],
d'Antonio, D.[Donato],
Soldovieri, F.[Francesco],
Capozzoli, L.[Luigi],
Ludeno, G.[Giovanni],
Porfido, S.[Sabina],
Michetti, A.M.[Alessandro Maria],
Joint Interpretation of Geophysical Results and Geological
Observations for Detecting Buried Active Faults: The Case of the 'Il
Lago' Plain (Pettoranello del Molise, Italy),
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
López-Pérez, M.[Miguel],
García, L.[Luz],
Benítez, C.[Carmen],
Molina, R.[Rafael],
A Contribution to Deep Learning Approaches for Automatic
Classification of Volcano-Seismic Events: Deep Gaussian Processes,
GeoRS(59), No. 5, May 2021, pp. 3875-3890.
IEEE DOI
2104
Global Positioning System, Databases, Volcanoes, Machine learning,
Gaussian processes, Registers, Task analysis,
volcanoes
BibRef
Svigkas, N.[Nikos],
Kiratzi, A.[Anastasia],
Antonioli, A.[Andrea],
Atzori, S.[Simone],
Tolomei, C.[Cristiano],
Salvi, S.[Stefano],
Polcari, M.[Marco],
Bignami, C.[Christian],
Earthquake Source Investigation of the Kanallaki, March 2020 Sequence
(North-Western Greece) Based on Seismic and Geodetic Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Guo, P.[Peng],
Han, Z.J.[Zhu-Jun],
Dong, S.P.[Shao-Peng],
Gao, F.[Fan],
Li, J.[Jiani],
New Constraints on Slip Behavior of the Jianshui Strike-Slip Fault
from Faulted Stream Channel Risers and Airborne Lidar Data, SE
Tibetan Plateau, China,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Saad, O.M.[Omar M.],
Chen, Y.[Yangkang],
Earthquake Detection and P-Wave Arrival Time Picking Using Capsule
Neural Network,
GeoRS(59), No. 7, July 2021, pp. 6234-6243.
IEEE DOI
2106
Earthquakes, Training, Machine learning, Feature extraction, Kernel,
Routing, Neural networks, Capsule neural network (CapsNet),
machine learning
BibRef
Chen, Z.E.[Zhong-En],
Bao, X.W.[Xue-Wei],
Yang, W.C.[Wen-Cai],
Shallow Shear-Wave Velocity Structure beneath the West Lake Area in
Hangzhou, China, from Ambient-Noise Tomography,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Shi, K.P.[Kun-Peng],
Guo, J.Y.[Jin-Yun],
Zhang, Y.M.[Yong-Ming],
Li, W.[Wang],
Kong, Q.L.[Qiao-Li],
Yu, T.[Teng],
Multi-Dimension and Multi-Channel Seismic-Ionospheric Coupling:
Case Study of Mw 8.8 Concepcion Quake on 27 February 2010,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Piersanti, M.[Mirko],
Burger, W.J.[William Jerome],
Carbone, V.[Vincenzo],
Battiston, R.[Roberto],
Iuppa, R.[Roberto],
Ubertini, P.[Pietro],
On the Geomagnetic Field Line Resonance Eigenfrequency Variations
during Seismic Event,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Zhu, D.[Daoye],
Yang, Y.[Yi],
Ren, F.[Fuhu],
Murai, S.[Shunji],
Cheng, C.Q.[Cheng-Qi],
Huang, M.[Min],
Novel Intelligent Spatiotemporal Grid Earthquake Early-Warning Model,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Yalcin, I.,
Kocaman, S.,
Gokceoglu, C.,
Production of Iso-intensity Map for the Elazig Earthquake (Jan 24,
2020) Using Citizen Collected Geodata,
ISPRS20(B5:51-56).
DOI Link
2012
BibRef
Catita, C.,
Teves-Costa, M.P.,
Matias, L.,
Batlló, J.,
Spatial Distribution of Felt Intensities for Portugal Earthquakes,
Gi4DM19(87-92).
DOI Link
1912
BibRef
Sharifi, M.A.,
Bahroudi, A.,
Mafi, S.,
The Contribution of Earthquakes to The Deformation of Zagros Tectonic
Province,
SMPR19(993-999).
DOI Link
1912
BibRef
Weinmann, M.,
Weinmann, M.,
Fusion of Hyperspectral, Multispectral, Color and 3d Point Cloud
Information for The Semantic Interpretation of Urban Environments,
HyperMLPA19(1899-1906).
DOI Link
1912
BibRef
Tu, R.[Rui],
Zhang, R.[Rui],
Zhang, P.F.[Peng-Fei],
Liu, J.[Jinhai],
Lu, X.C.[Xiao-Chun],
Integration of Single-Frequency GNSS and Strong-Motion Observations
for Real-Time Earthquake Monitoring,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Manneela, S.[Sunanda],
Kumar, T.S.[T. Srinivasa],
Nayak, S.R.[Shailesh R.],
Near Real-time Determination Of Earthquake Source Parameters For
Tsunami Early Warning From Geodetic Observations,
ISPRS16(B8: 117-120).
DOI Link
1610
BibRef
Aris, W.A.W.,
Musa, T.A.,
Lee, H.,
Choi, Y.,
Yoon, H.,
Preliminary Estimation of Postseismic Deformation Parameters from
Continuous GPS Data in Korea Peninsula and IEODO after the 2011
Tohoku-Oki MW9.0 Earthquake,
GGT16(55-59).
DOI Link
1612
BibRef
Aris, W.A.W.,
Musa, T.A.,
Omar, K.,
Estimation of Co- and Postseismic Deformation after the MW 8.6
Nias-Semeulue and MW 8.5 Bengkulu Earthquakes from Continuous GPS Data,
GGT16(61-64).
DOI Link
1612
BibRef
Lyda, A.W.,
Zhang, X.,
Glennie, C.L.,
Hudnut, K.,
Brooks, B.A.,
Airborne Light Detection And Ranging (lidar) Derived Deformation From
The Mw 6.0 24 August, 2014 South Napa Earthquake Estimated By Two And
Three Dimensional Point Cloud Change Detection Techniques,
ISPRS16(B2: 35-42).
DOI Link
1610
BibRef
Qu, C.Y.[Chun-Yan],
Zuo, R.H.[Rong-Hu],
Shan, X.J.[Xin Jian],
Zhang, G.H.[Guo-Hong],
Zhang, Y.F.[Ying-Feng],
Song, X.G.[Xiao-Gang],
Coseismic Deformation Field And Fault Slip Distribution Of The 2015
Chile Mw8.3 Earthquake,
ISPRS16(B7: 827-834).
DOI Link
1610
BibRef
Benvegna, F.[Francesco],
Lo Bosco, G.[Giosué],
Dissimilarity Measures for the Identification of Earthquake Focal
Mechanisms,
CIAP13(II:500-509).
Springer DOI
1309
BibRef
Yokota, A.[Arimitsu],
Hamamoto, T.[Takayuki],
Koga, H.[Hisashi],
Watanabe, T.[Toshinori],
Estimation of earthquake ground motion by image analysis of sliding
objects taken with a fixed camera,
ICPR12(784-787).
WWW Link.
1302
BibRef
Akhoondzadeh, M.,
Saradjian, M.R.,
Fusion Of Multi Precursors Earthquake Parameters To Estimate The Date,
Magnitude And Affected Area Of The Forthcoming Powerful Earthquakes,
ISPRS12(XXXIX-B8:1-6).
DOI Link
1209
BibRef
Li, C.X.[Chun-Xiang],
Dong, P.[Peng],
Li, J.H.[Jin-Hua],
A Spectral Model of Earthquake Ground Motions Based on Non-White Noise
Filter,
CISP09(1-4).
IEEE DOI
0910
BibRef
Orozco-Alzate, M.[Mauricio],
Skurichina, M.[Marina],
Duin, R.P.W.[Robert P. W.],
Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz
Volcano Using Spectral Band Selection/Extraction Techniques,
CIARP08(708-715).
Springer DOI
0809
BibRef
Wang, B.Q.[Bi-Quan],
Wang, C.Z.[Chun-Zhen],
The improvement on consecutive Hamming method and its application to
deciding the earthquake-prone regions,
ICPR88(II: 971-973).
IEEE DOI
8811
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Seismic Inversion, Seismic Data Processing .