Personal Information

Wei TANG

Associate Professor

Email：weitang@cumtb.edu.cn

Research Interests

(1) Imaging Geodesy and InSAR technique.

(2) Ground deformation related to landslide, fluid extraction/injection, mining activities.

(3) Characterization of changes in groundwater storage by remote sensing, geodetic techniques, and numerical modeling.

Education/Work Background

2006.09-2010.06，School of Civil Engineering, Shenyang Jianzhu University, Bachelor;

2011.09-2013.06，School of Geodesy and Geomatics, Wuhan University, Master；

2013.09-2017.06，State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, PhD；

2018.03-2019.03，Postdoctoral researcher at GFZ (CSC-DAAD Postdoctoral Fellowship)；

2017.07-2021.07，College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, Lecturer；

2021.07-Now，College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing,, Associate Professor.

Teaching Courses

Microwave Remote Sensing

InSAR theory, data processing and its applications

Key Research Funding

[1]. Wei Tang. The regulation mechanism of groundwater level rise on regional land subsidence in Fenhe River Basin by analyzing multi-source geodetic data. National Natural Science Foundation of China (No. 42374023), 2024-2027, PI

[2] Wei Tang. High-spatial-resolution mapping of precipitable water vapour by combining InSAR, GNSS and WRF data. National Natural Science Foundation of China (No. 42001368), 2021-2023, PI

Honors

§ 2017 Sino-German CSC-DAAD postdoc scholarship

§ 2016 Best Poster Award for the excellent poster paper in Terrain & Geoid Measurement at Dragon 3 Final Results & Dragon 4 kick-off Symposium.

§ 2015 Successfully swam across Yangtze River (6000 m) at the 42th International Yangtze River Crossing Activity Festival.

§ 2010 Conferred with outstanding graduate at Shenyang Jianzhu University.

Selected Publications

[1] Wei Tang, Mingliang Wang, Peixian Li, et al. 2023. Ground subsidence associated with mining activity in the Ningdong coal base area, northwestern China revealed by InSAR time series analysis. Frontiers in Earth Science, 11.

[2] Zhiqiang Gong, Wei Tang, Jinbao Jiang, et al. 2023. Monitoring and Modeling of Land Subsidence in Liaohe Delta Oilfield Based on Time Series InSAR Technology. Geomatics and Information Science of Wuhan University (in Chinese).

[3] Wei Tang, Xiangjun Zhao, Gang Bi, et al. 2023. Quantifying seasonal ground deformation in Taiyuan basin, China, by Sentinel-1 InSAR time series analysis. Journal of Hydrology, 622(11):129654.

[4] Wei Tang, Xiangjun Zhao, Caiqin Kang, et al. 2023. Monitoring land subsidence by time series InSAR and wavelet analysis of seasonal deformation in Taiyuan Basin. Chinese Journal of Geophysics (in Chinese), 66(6): 2352-2369.

[5] Wei Tang, Xiangjun Zhao, Mahdi Motagh, et al. 2022. Land subsidence and rebound in the Taiyuan basin, northern China, in the context of inter-basin water transfer and groundwater management. Remote Sensing of Environment, 269:112792. (22 citations)

[6] Jian Wang, Li Yan, Keming Yang, Wei Tang, et al. 2022. Deriving Mining-Induced 3-D Deformations at Any Moment and Assessing Building Damage by Integrating Single InSAR Interferogram and Gompertz Probability Integral Model (SII-GPIM). IEEE Transactions on Geoscience and Remote Sensing, 60. (3 citations)

[7] Wei Tang, Wei Zhan, Mahdi Motagh, et al. 2021. Spatial variability of relative sea level rise in Tianjin, China: Insight from InSAR, GPS and tide-gauge observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2621-2633. (17 citations)

[8] Wei Tang, Mahdi Motagh, Wei Zhan. 2020. Monitoring active open-pit mine stability in the Rhenish coalfields of Germany using a coherence-based SBAS method. International Journal of Applied Earth Observation and Geoinformation, 2020(93). (22 citations)

[9] Wei Tang, Peng Yuan, Mingsheng Liao, et al. 2018. Investigation of Ground Deformation in Taiyuan Basin, China from 2003 to 2010, with Atmosphere-Corrected Time Series InSAR. Remote Sensing, 10(9). (13 citations)

[10] Bangyan Zhu, Jiancheng Li, Wei Tang, et al. 2017. Correcting InSAR Topographically Correlated Tropospheric Delays Using a Power Law Model Based on ERA-Interim Reanalysis. Remote Sensing, 9(8):765. (8 citations)