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Ma Siyuan
Ma Siyuan
Institute of Geology, China Earthquake Adimistration
Подтвержден адрес электронной почты в домене ies.ac.cn
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Год
Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China
Y Tian, C Xu, S Ma, X Xu, S Wang, H Zhang
Journal of Earth Science 30, 206-217, 2019
1332019
Optimized volume models of earthquake-triggered landslides
C Xu, X Xu, L Shen, Q Yao, X Tan, W Kang, S Ma, X Wu, J Cai, M Gao, ...
Scientific Reports 6 (1), 29797, 2016
1232016
Planet image-based inventorying and machine learning-based susceptibility mapping for the landslides triggered by the 2018 Mw6. 6 Tomakomai, Japan Earthquake
X Shao, S Ma, C Xu, P Zhang, B Wen, Y Tian, Q Zhou, Y Cui
Remote Sensing 11 (8), 978, 2019
892019
Assessment of co-seismic landslide hazard using the Newmark model and statistical analyses: a case study of the 2013 Lushan, China, Mw6. 6 earthquake
S Ma, C Xu
Natural Hazards 96, 389-412, 2019
882019
Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake
C Xu, S Ma, Z Tan, C Xie, S Toda, X Huang
Landslides 15, 551-564, 2018
812018
Two comparable earthquakes produced greatly different coseismic landslides: The 2015 Gorkha, Nepal and 2008 Wenchuan, China events
C Xu, X Xu, Y Tian, L Shen, Q Yao, X Huang, J Ma, X Chen, S Ma
Journal of Earth Science 27, 1008-1015, 2016
702016
Geometric and kinematic features of a landslide in Mabian Sichuan, China, derived from UAV photography
S Ma, C Xu, X Shao, P Zhang, X Liang, Y Tian
Landslides 16, 373-381, 2019
642019
Landslide development within 3 years after the 2015 Mw 7.8 Gorkha earthquake, Nepal
Y Tian, LA Owen, C Xu, S Ma, K Li, X Xu, PM Figueiredo, W Kang, P Guo, ...
Landslides 17, 1251-1267, 2020
592020
Automatic extraction of seismic landslides in large areas with complex environments based on deep learning: An example of the 2018 iburi earthquake, Japan
P Zhang, C Xu, S Ma, X Shao, Y Tian, B Wen
Remote Sensing 12 (23), 3992, 2020
522020
Effects of sampling intensity and non-slide/slide sample ratio on the occurrence probability of coseismic landslides
X Shao, S Ma, C Xu, Q Zhou
Geomorphology 363, 107222, 2020
482020
Characteristics and causes of the landslide on July 23, 2019 in Shuicheng, Guizhou Province, China
S Ma, C Xu, X Xu, X He, H Qian, Q Jiao, W Gao, H Yang, Y Cui, P Zhang, ...
Landslides 17, 1441-1452, 2020
422020
Distribution and characteristics of shallow landslides triggered by the 2018 Mw 7.5 Palu earthquake, Indonesia
X Shao, S Ma, C Xu
Landslides 20 (1), 157-175, 2023
402023
Spatial prediction strategy for landslides triggered by large earthquakes oriented to emergency response, mid-term resettlement and later reconstruction
S Ma, C Xu, X Shao
International journal of disaster risk reduction 43, 101362, 2020
352020
INVENTORY AND SPATIAL DISTRIBUTION OF LANDSLIDES IN Ⅸ-Ⅺ HIGH INTENSITY AREAS OF 1920 HAIYUAN (CHINA) M8.5 EARTHQUAKE
C XU, Y TIAN, S MA, X XU, B ZHOU, X WU, J ZHUANG, Y GAO, W WU, ...
Journal of Engineering Geology 26 (5), 1188-1195, 2018
352018
Characterizing the distribution pattern and a physically based susceptibility assessment of shallow landslides triggered by the 2019 heavy rainfall event in Longchuan County …
S Ma, X Shao, C Xu
Remote Sensing 14 (17), 4257, 2022
302022
Landslides triggered by the 6 September 2018 Mw 6.6 Hokkaido, Japan: an updated inventory and retrospective hazard assessment
Y Cui, P Bao, C Xu, S Ma, J Zheng, G Fu
Earth Science Informatics 14, 247-258, 2021
292021
Applicability of two newmark models in the assessment of coseismic landslide hazard and estimation of slope-failure probability: an example of the 2008 Wenchuan M w 7.9 …
S Ma, C Xu
Journal of Earth Science 30 (5), 1020-1030, 2019
282019
Landslide susceptibility mapping in terms of the slope-unit or raster-unit, which is better?
S Ma, X Shao, C Xu
Journal of Earth Science 34 (2), 386-397, 2023
242023
Preliminary analysis of coseismic landslides induced by the 1 June 2022 Ms 6.1 Lushan Earthquake, China
X Shao, C Xu, S Ma
Sustainability 14 (24), 16554, 2022
232022
MAT. TRIGRS (V1. 0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
S Ma, X Shao, C Xu, X He, P Zhang
Natural Hazards Research 1 (4), 161-170, 2021
232021
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