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Chao Zhou 0009
Person information
- affiliation: China University of Geosciences, Faculty of Information Engineering, Wuhan, China
Other persons with the same name
- Chao Zhou — disambiguation page
- Chao Zhou 0001 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Chao Zhou 0002
— Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- Chao Zhou 0003
- Chao Zhou 0004 — State University of New York at Binghamton, NY, USA
- Chao Zhou 0005
- Chao Zhou 0006
- Chao Zhou 0007
- Chao Zhou 0008
- Chao Zhou 0010
- Chao Zhou 0011
- Chao Zhou 0012
- Chao Zhou 0013
- Chao Zhou 0014
- Chao Zhou 0015
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2020 – today
- 2024
- [j9]Wandi Wang, Mahdi Motagh
A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding. Int. J. Appl. Earth Obs. Geoinformation 129: 103795 (2024) - 2023
- [j8]Xingchen Zhang
Deformation Monitoring and Trend Analysis of Reservoir Bank Landslides by Combining Time-Series InSAR and Hurst Index. Remote. Sens. 15(3): 619 (2023) - [j7]Yifan Sheng, Guangli Xu, Bijing Jin, Chao Zhou
Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China. Remote. Sens. 15(21): 5256 (2023) - 2022
- [j6]Lanbing Yu, Chao Zhou
Coupling Data- and Knowledge-Driven Methods for Landslide Susceptibility Mapping in Human-Modified Environments: A Case Study from Wanzhou County, Three Gorges Reservoir Area, China. Remote. Sens. 14(3): 774 (2022) - 2021
- [j5]Shuhao Liu, Kunlong Yin, Chao Zhou
Susceptibility Assessment for Landslide Initiated along Power Transmission Lines. Remote. Sens. 13(24): 5068 (2021) - 2020
- [j4]Chao Zhou
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China. Remote. Sens. 12(20): 3385 (2020) - [j3]Ying Cao
Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis. Sensors 20(3): 845 (2020)
2010 – 2019
- 2018
- [j2]Chao Zhou
Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China. Comput. Geosci. 112: 23-37 (2018) - [j1]Bayes Ahmed
Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh. ISPRS Int. J. Geo Inf. 7(12): 485 (2018)
Coauthor Index
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