Keren Dai
Keren Dai
Chengdu University of Technology
Verified email at cdut.edu.cn
Title
Cited by
Cited by
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
1412017
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
1102016
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
732016
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
562015
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
502017
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
402019
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
372014
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
242015
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
202020
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
182018
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
142019
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
122013
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
62019
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
62013
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
52020
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
42018
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
32020
Deformation monitoring of high-latitude permafrost region of northeastern China with time series inSAR technique
T Qu, Q Xu, W Shan, Z Li, M Shan, K Dai
ISPRS Geospatial Week 2019, 2019
22019
Radar remote sensing applications in landslide monitoring with multi-platform inSAR observations: A case study from China
T Qu, Q Xu, C Liu, Z Li, B Chen, K Dai
ISPRS Geospatial Week 2019, 2019
22019
RESEARCH ON THE CRUSTAL DEFORMATION CHARACTERISTICS IN BEIJING USING INSAR AND GNSS TECHNOLOGY.
L Hu, C Xing, K Dai, Y Li, Z Li, J Zhang, R Yan, B Xu, Z Fan
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018
12018
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