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Chaoying Zhao
Chaoying Zhao
Professor of Geoscience, Chang'an University
Verified email at chd.edu.cn - Homepage
Title
Cited by
Cited by
Year
Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA
C Zhao, Z Lu, Q Zhang, J de La Fuente
Remote sensing of environment 124, 348-359, 2012
2782012
Remote sensing of landslides—A review
C Zhao, Z Lu
Remote Sensing 10 (2), 279, 2018
1882018
Land subsidence and ground fissures in Xi'an, China 2005–2012 revealed by multi-band InSAR time-series analysis
F Qu, Q Zhang, Z Lu, C Zhao, C Yang, J Zhang
Remote Sensing of Environment 155, 366-376, 2014
1722014
Mapping ground deformation over Houston–Galveston, Texas using multi-temporal InSAR
F Qu, Z Lu, Q Zhang, GW Bawden, JW Kim, C Zhao, W Qu
Remote Sensing of Environment 169, 290-306, 2015
1602015
Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China
X Liu, C Zhao, Q Zhang, Z Lu, Z Li, C Yang, W Zhu, J Liu-Zeng, L Chen, ...
Engineering Geology 284, 106033, 2021
1172021
Landslide identification and monitoring along the Jinsha River catchment (Wudongde reservoir area), China, using the InSAR method
C Zhao, Y Kang, Q Zhang, Z Lu, B Li
Remote Sensing 10 (7), 993, 2018
1152018
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
1112020
Monitoring land subsidence in the southern part of the lower Liaohe plain, China with a multi-track PS-InSAR technique
H Sun, Q Zhang, C Zhao, C Yang, Q Sun, W Chen
Remote sensing of environment 188, 73-84, 2017
922017
Application of InSAR techniques to an analysis of the Guanling landslide
Y Kang, C Zhao, Q Zhang, Z Lu, B Li
Remote sensing 9 (10), 1046, 2017
902017
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California
Y Kang, Z Lu, C Zhao, Y Xu, J Kim, AJ Gallegos
Remote Sensing of Environment 258, 112400, 2021
752021
Time-series deformation monitoring over mining regions with SAR intensity-based offset measurements
C Zhao, Z Lu, Q Zhang
Remote Sensing Letters 4 (5), 436-445, 2013
752013
Multi-temporal loess landslide inventory mapping with C-, X-and L-band SAR datasets—A case study of Heifangtai Loess Landslides, China
X Liu, C Zhao, Q Zhang, J Peng, W Zhu, Z Lu
Remote sensing 10 (11), 1756, 2018
742018
Research on recent characteristics of spatio-temporal evolution and mechanism of Xi′ an land subsidence and ground fissure by using GPS and InSAR techniques
Q Zhang, CY Zhao, XL Ding, YQ Chen, L Wang, GW Huang, CS Yang, ...
Chinese Journal of Geophysics 52 (5), 1214-1222, 2009
682009
利用 GPS 与 InSAR 研究西安现今地面沉降与地裂缝时空演化特征
张勤, 赵超英, 丁晓利, 陈永奇, 王利, 黄观文, 杨成生, 丁晓光, 马静
地球物理学报, 1214-1222, 2009
682009
Monitoring land subsidence and fault deformation using the small baseline subset InSAR technique: A case study in the Datong Basin, China
C Yang, Q Zhang, C Zhao, Q Wang, L Ji
Journal of Geodynamics 75, 34-40, 2014
622014
Landslide monitoring by combining of CR-InSAR and GPS techniques
W Zhu, Q Zhang, XL Ding, C Zhao, C Yang, F Qu, W Qu
Advances in space research 53 (3), 430-439, 2014
592014
Monitoring of land subsidence and ground fissures in Xian, China 2005–2006: mapped by SAR interferometry
CY Zhao, Q Zhang, XL Ding, Z Lu, CS Yang, XM Qi
Environmental geology 58, 1533-1540, 2009
582009
Monitoring mine collapse by D-InSAR
Y Chengsheng, Q Zhang, Z Chaoying, JI Lingyun, ZHU Wu
Mining Science and Technology (China) 20 (5), 696-700, 2010
542010
Deformation of the Baige landslide, Tibet, China, revealed through the integration of cross‐platform ALOS/PALSAR‐1 and ALOS/PALSAR‐2 SAR observations
X Liu, C Zhao, Q Zhang, Z Lu, Z Li
Geophysical Research Letters 47 (3), e2019GL086142, 2020
532020
Research on loess landslide identification, monitoring and failure mode with InSAR technique in Heifangtai, Gansu
C Zhao, X Liu, Q Zhang, J PENG, Q XU
Geomatics and Information Science of Wuhan University 44 (7), 996-1007, 2019
532019
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