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Keren Dai
Keren Dai
Chengdu University of Technology
Verified email at cdut.edu.cn
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Year
Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China
X Fan, Q Xu, G Scaringi, L Dai, W Li, X Dong, X Zhu, X Pei, K Dai, ...
Landslides 14 (6), 2129-2146, 2017
2042017
Monitoring activity at the Daguangbao mega-landslide (China) using Sentinel-1 TOPS time series interferometry
K Dai, Z Li, R Tomás, G Liu, B Yu, X Wang, H Cheng, J Chen, J Stockamp
Remote Sensing of Environment 186, 501-513, 2016
1472016
The mechanism of partial rupture of a locked megathrust: The role of fault morphology
Q Qiu, EM Hill, S Barbot, J Hubbard, W Feng, EO Lindsey, L Feng, K Dai, ...
Geology 44 (10), 875-878, 2016
852016
Extracting vertical displacement rates in Shanghai (China) with multi-platform SAR images
K Dai, G Liu, Z Li, T Li, B Yu, X Wang, A Singleton
Remote Sensing 7 (8), 9542-9562, 2015
652015
Source characteristics of the 2015 MW 7.8 Gorkha (Nepal) earthquake and its MW 7.2 aftershock from space geodesy
W Feng, E Lindsey, S Barbot, S Samsonov, K Dai, P Li, Z Li, R Almeida, ...
Tectonophysics 712, 747-758, 2017
612017
Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations
L Hu, K Dai, C Xing, Z Li, R Tomás, B Clark, X Shi, M Chen, R Zhang, ...
International Journal of Applied Earth Observation and Geoinformation 82, 101886, 2019
602019
Entering the era of earth observation-based landslide warning systems: A novel and exciting framework
K Dai, Z Li, Q Xu, R Bürgmann, DG Milledge, R Tomas, X Fan, C Zhao, ...
IEEE Geoscience and Remote Sensing Magazine 8 (1), 136-153, 2020
572020
3D coseismic deformations and source parameters of the 2010 Yushu earthquake (China) inferred from DInSAR and multiple-aperture InSAR measurements
X Wang, G Liu, B Yu, K Dai, R Zhang, Q Chen, Z Li
Remote sensing of environment 152, 174-189, 2014
432014
An integrated method based on DInSAR, MAI and displacement gradient tensor for mapping the 3D coseismic deformation field related to the 2011 Tarlay earthquake (Myanmar)
X Wang, G Liu, B Yu, K Dai, R Zhang, D Ma, Z Li
Remote Sensing of Environment 170, 388-404, 2015
332015
Early identification of serious geological hazards with integrated remote sensing technologies: Thoughts and recommendations
D GE, K DAI, Z GUO, Z LI
武汉大学学报● 信息科学版 44 (7), 949-956, 2019
312019
Monitoring highway stability in permafrost regions with X-band temporary scatterers stacking InSAR
K Dai, G Liu, Z Li, D Ma, X Wang, B Zhang, J Tang, G Li
Sensors 18 (6), 1876, 2018
292018
Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry
K Dai, Q Xu, Z Li, R Tomás, X Fan, X Dong, W Li, Z Zhou, J Gou, P Ran
Landslides 16 (6), 1189-1199, 2019
272019
Identifying potential landslides by stacking-InSAR in southwestern China and its performance comparison with SBAS-InSAR
L Zhang, K Dai, J Deng, D Ge, R Liang, W Li, Q Xu
Remote Sensing 13 (18), 3662, 2021
172021
Evaluating potential ground subsidence geo-hazard of Xiamen Xiang’an new airport on reclaimed land by SAR interferometry
G Zhuo, K Dai, H Huang, S Li, X Shi, Y Feng, T Li, X Dong, J Deng
Sustainability 12 (17), 6991, 2020
142020
Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery
B Yu, G Liu, R Zhang, H Jia, T Li, X Wang, K Dai, D Ma
Journal of Modern Transportation 21 (4), 236-246, 2013
142013
Early identification of potential landslide geohazards in alpine-canyon terrain based on SAR interferometry—A case study of the middle section of Yalong river
DAI Keren, TIE Yongbo, XU Qiang, F Ye, Z Guanchen, SHI Xianlin
雷达学报 9 (3), 554-568, 2020
132020
Diagnosing subsidence Geohazard at Beijing capital international airport, from high-resolution SAR interferometry
K Dai, X Shi, J Gou, L Hu, M Chen, L Zhao, X Dong, Z Li
Sustainability 12 (6), 2269, 2020
122020
Tracing the pre-failure two-dimensional surface displacements of Nanyu Landslide, Gansu province with radar interferometry
K DAI, G ZHUO, Q XU, Z LI, W LI, W GUAN
武汉大学学报● 信息科学版 44 (12), 1778-1786, 1796, 2019
92019
Detecting Subsidence Along a High Speed Railway by Ultrashort Baseline TCP-InSAR with High Resolution Images
K Dai, G Liu, B Yu, H Jia, D Ma, X Wang
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013
72013
Potential landslide early detection near Wenchuan by a qualitatively multi-baseline DInSAR method
K Dai, G Chen, Q Xu, Z Li, T Qu, L Hu, H Lu
ISPRS TC III Mid-term Symposium: Developments, Technologies and Applications …, 2018
62018
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