Landslide Analysis, Earthquake Related, Seismic Analysis

Chapter Contents (Back)
Landslide Susceptibility. Landslides. Earthquakes. Seismic. General Landslides:
See also Landslide Detection, Analysis, Damage Assessment, Deformations. Fault zones:
See also Geologic Mapping, Geology Analysis, Mineralogy, Fault Zones.

Lacroix, P.[Pascal], Zavala, B.[Bilberto], Berthier, E.[Etienne], Audin, L.[Laurence],
Supervised Method of Landslide Inventory Using Panchromatic SPOT5 Images and Application to the Earthquake-Triggered Landslides of Pisco (Peru, 2007, Mw8.0),
RS(5), No. 6, 2013, pp. 2590-2616.
DOI Link 1307

Kropácek, J.[Jan], Varilová, Z.[Zuzana], Baron, I.[Ivo], Bhattacharya, A.[Atanu], Eberle, J.[Joachim], Hochschild, V.[Volker],
Remote Sensing for Characterisation and Kinematic Analysis of Large Slope Failures: Debre Sina Landslide, Main Ethiopian Rift Escarpment,
RS(7), No. 12, 2015, pp. 15821.
DOI Link 1601

Zhou, S.[Suhua], Chen, G.Q.[Guang-Qi], Fang, L.G.[Li-Gang],
Distribution Pattern of Landslides Triggered by the 2014 Ludian Earthquake of China: Implications for Regional Threshold Topography and the Seismogenic Fault Identification,
IJGI(5), No. 4, 2016, pp. 46.
DOI Link 1604

Ekhtari, N., Glennie, C.L.,
High-Resolution Mapping of Near-Field Deformation With Airborne Earth Observation Data, a Comparison Study,
GeoRS(56), No. 3, March 2018, pp. 1598-1614.
earthquakes, faulting, geomorphology, geophysical image processing, iterative methods, remote sensing by laser beam, seismology, structure from motion (SfM) BibRef

Kusari, A., Glennie, C.L., Brooks, B.A., Ericksen, T.L.,
Precise Registration of Laser Mapping Data by Planar Feature Extraction for Deformation Monitoring,
GeoRS(57), No. 6, June 2019, pp. 3404-3422.
Octrees, Earthquakes, Feature extraction, Strain, Laser radar, Seismic measurements, LiDAR, registration BibRef

Shao, X.Y.[Xiao-Yi], Ma, S.Y.[Si-Yuan], Xu, C.[Chong], Zhang, P.F.[Peng-Fei], Wen, B.[Boyu], Tian, Y.Y.[Ying-Ying], Zhou, Q.[Qing], Cui, Y.L.[Yu-Long],
Planet Image-Based Inventorying and Machine Learning-Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6 Tomakomai, Japan Earthquake,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Shao, X.Y.[Xiao-Yi], Xu, C.[Chong], Ma, S.Y.[Si-Yuan], Zhou, Q.[Qing],
Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909

Liu, W.[Wen], Yamazaki, F.[Fumio], Maruyama, Y.[Yoshihisa],
Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910

Hu, Q.[Qiao], Zhou, Y.[Yi], Wang, S.X.[Shi-Xing], Wang, F.[Futao], Wang, H.J.[Hong-Jie],
Improving the Accuracy of Landslide Detection in 'Off-site' Area by Machine Learning Model Portability Comparison: A Case Study of Jiuzhaigou Earthquake, China,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911

de Donatis, M.[Mauro], Pappafico, G.F.[Giulio F.], Romeo, R.W.[Roberto W.],
A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903

Meena, S.R.[Sansar Raj], Ghorbanzadeh, O.[Omid], Blaschke, T.[Thomas],
A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903

Dou, J.[Jie], Yunus, A.P.[Ali P.], Bui, D.T.[Dieu Tien], Sahana, M.[Mehebub], Chen, C.W.[Chi-Wen], Zhu, Z.F.[Zhong-Fan], Wang, W.D.[Wei-Dong], Pham, B. .T.[Binh Thai],
Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Liu, P.[Peng], Wei, Y.M.[Yong-Ming], Wang, Q.[Qinjun], Chen, Y.[Yu], Xie, J.J.[Jing-Jing],
Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003

Chen, Y.[Yu], Wei, Y.M.[Yong-Ming], Wang, Q.J.[Qin-Jun], Chen, F.[Fang], Lu, C.Y.[Chun-Yan], Lei, S.H.[Shao-Hua],
Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009

Chen, X.L.[Xiao-Li], Shan, X.J.[Xin-Jian], Wang, M.M.[Ming-Ming], Liu, C.G.[Chun-Guo], Han, N.N.[Na-Na],
Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005

Zhang, P.F.[Peng-Fei], Xu, C.[Chong], Ma, S.Y.[Si-Yuan], Shao, X.Y.[Xiao-Yi], Tian, Y.Y.[Ying-Ying], Wen, B.[Boyu],
Automatic Extraction of Seismic Landslides in Large Areas with Complex Environments Based on Deep Learning: An Example of the 2018 Iburi Earthquake, Japan,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Lei, J.H.[Jing-Hao], Ren, Z.[Zhikun], Oguchi, T.[Takashi], Zhang, P.Z.[Pei-Zhen], Uchiyama, S.[Shoichiro],
Topographic Evolution Involving Co-Seismic Landslide, Deformation, Long-Term Folding and Isostatic Rebound: A Case Study on the 2004 Chuetsu Earthquake,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104

Liang, R.B.[Ru-Bing], Dai, K.[Keren], Shi, X.L.[Xian-Lin], Guo, B.[Bin], Dong, X.J.[Xiu-Jun], Liang, F.[Feng], Tomás, R.[Roberto], Wen, N.[Ningling], Fan, X.M.[Xuan-Mei],
Automated Mapping of Ms 7.0 Jiuzhaigou Earthquake (China) Post-Disaster Landslides Based on High-Resolution UAV Imagery,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Han, X.[Xiang], Yin, Y.H.[Yun-He], Wu, Y.M.[Yu-Ming], Wu, S.H.[Shao-Hong],
Risk Assessment of Population Loss Posed by Earthquake-Landslide-Debris Flow Disaster Chain: A Case Study in Wenchuan, China,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106

Kang, K.H.[Keng-Hao], Chao, W.A.[Wei-An], Yang, C.M.[Che-Ming], Chung, M.C.[Ming-Chien], Kuo, Y.T.[Yu-Ting], Yeh, C.H.[Chih-Hsiang], Liu, H.C.[Hsin-Chang], Lin, C.H.[Chun-Hung], Lin, C.P.[Chih-Pin], Liao, J.J.[Jyh-Jong], Chang, J.M.[Jui-Ming], Ngui, Y.J.[Yin-Jeh], Chen, C.H.[Chien-Hsin], Tai, T.L.[Tung-Lin],
Rigidity Strengthening of Landslide Materials Measured by Seismic Interferometry,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Sarvandani, M.M.[Mohamadhasan Mohamadian], Kästle, E.[Emanuel], Boschi, L.[Lapo], Leroy, S.[Sylvie], Cannat, M.[Mathilde],
Seismic Ambient Noise Imaging of a Quasi-Amagmatic Ultra-Slow Spreading Ridge,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Li, Y.[Yao], Cui, P.[Peng], Ye, C.M.[Cheng-Ming], Junior, J.M.[José Marcato], Zhang, Z.[Zhengtao], Guo, J.[Jian], Li, J.[Jonathan],
Accurate Prediction of Earthquake-Induced Landslides Based on Deep Learning Considering Landslide Source Area,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109

Qi, T.J.[Tian-Jun], Zhao, Y.[Yan], Meng, X.M.[Xing-Min], Shi, W.[Wei], Qing, F.[Feng], Chen, G.[Guan], Zhang, Y.[Yi], Yue, D.X.[Dong-Xia], Guo, F.Y.[Fu-Yun],
Distribution Modeling and Factor Correlation Analysis of Landslides in the Large Fault Zone of the Western Qinling Mountains: A Machine Learning Algorithm,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112

Li, X.[Xue], Wang, C.S.[Chi-Sheng], Zhu, C.[Chuanhua], Wang, S.[Shuying], Li, W.D.[Wei-Dong], Wang, L.[Leyang], Zhu, W.[Wu],
Coseismic Deformation Field Extraction and Fault Slip Inversion of the 2021 Yangbi MW 6.1 Earthquake, Yunnan Province, Based on Time-Series InSAR,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202

Wang, X.[Xin], Fan, X.M.[Xuan-Mei], Xu, Q.[Qiang], Du, P.J.[Pei-Jun],
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy,
PandRS(187), 2022, pp. 225-239.
Elsevier DOI 2205
Co-seismic landslide mapping, Remote sensing, Change detection, Change vector analysis (CVA), Multiple classifier ensemble BibRef

Demissie, Z.S.[Zelalem S.], Rimmington, G.[Glyn],
Surface Displacements Mechanism of the Dobi Graben from ASAR Time-Series Analysis of InSAR: Implications for the Tectonic Setting in the Central Afar Depression, Ethiopia,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Orellana, F.[Felipe], Hormazábal, J.[Joaquín], Montalva, G.[Gonzalo], Moreno, M.[Marcos],
Measuring Coastal Subsidence after Recent Earthquakes in Chile Central Using SAR Interferometry and GNSS Data,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205

He, G., Wang, A.,
Study on the Application of Airborne Lidar In Seismic Active Faults In The Northern Rim of Qinling Mountain and the Piedmont of Huashan In China,
DOI Link 2012

Jafrasteh, B., Manighetti, I., Zerubia, J.,
Generative Adversarial Networks As A Novel Approach for Tectonic Fault And Fracture Extraction In High-resolution Satellite and Airborne Optical Images,
DOI Link 2012

She, J., Zhou, X., Liu, F., Cheng, D., Liao, L.,
Preliminary Results and Analyses of Post-earthquake Geological Hazards In Jiuzhaigou Based on Airborne Lidar and Imagery,
DOI Link 2012

Ali, M.Z., Chu, H.J., Ullah, S., Shafique, M., Ali, A.,
Utilization of Fine Resolution Satellite Data for Landslide Susceptibility Modelling: a Case Study of Kashmir Earthquake Induced Landslides,
DOI Link 1912

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Surface Deformation From SAR Applied to Earthquakes, Fault Monitoring .

Last update:May 15, 2022 at 14:39:14