dr. L. Chang (Ling)

Dr. Ling Chang is currently associate professor in microwave remote sensing at the department of Earth Observation Science (EOS), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente.

She received her master's degree in Geodesy and Survey Engineering from Tongji University, China, and the PhD degree from the Delft University of Technology (TUDelft), the Netherlands, in 2010 and 2015. From 2015 to 2018 she worked as a postdoctoral researcher on structural health monitoring of railway infrastructure using satellite radar interferometry (InSAR) at the department of Structural Engineering, TUDelft.

Her research interests include statistical hypothesis testing, time series modelling, and change detection, using satellite-borne remote sensing technology, particularly InSAR techniques.

Earth & Environmental Sciences

# Railway
# Synthetic Aperture Radar
# Time Series

Engineering & Materials Science

# Interferometry
# Radar
# Satellites
# Synthetic Aperture Radar
# Time Series

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Tanyas, H., He, K., Sadhasivam, N. , Lombardo, L. , Chang, L., Fang, Z. , Dahal, A. , Fadel, I., Hu, X., & Luo, G. (2023). Monitoring and prediction of InSAR-derived post-seismic hillslope deformation rates. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-14415

He, K. , Tanyas, H. , Chang, L., Hu, X., Luo, G. , & Lombardo, L. (2023). Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions. Remote sensing of environment, 289, [113518]. https://doi.org/10.1016/j.rse.2023.113518

Zhang, B. (2023). Quantifying earth surface changes with multi-sensor SAR imagery. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036554985

Zhang, B. , Chang, L. , & Stein, A. (2022). Assessment of Persistent Scatterers Behaviour in Co-Polarimetric PAZ Data with Model-Backfeed Method. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 735-738). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9884658

He, K. , Lombardo, L. , Chang, L., Sadhasivam, N., Hu, X. , Fang, Z. , Dahal, A. , Fadel, I., Luo, G. , & Tanyas, H. (2022). Hillslope recovery after a major earthquake: InSAR-derived time series analyses to capture earthquake-legacy effect. https://doi.org/10.31223/X5Q65W

Zhang, B. , Chang, L. , & Stein, A. (2022). A model-backfeed deformation estimation method for revealing 20-year surface dynamics of the Groningen gas field using multi-platform SAR imagery. International Journal of Applied Earth Observation and Geoinformation (JAG), 111, [102847]. https://doi.org/10.1016/j.jag.2022.102847

Kulshrestha, A. , Chang, L. , & Stein, A. (2022). Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series. IEEE Journal of selected topics in applied earth observations and remote sensing, 15, 4559-4570. https://doi.org/10.1109/JSTARS.2022.3180994

Kulshrestha, A. , Chang, L. , & Stein, A. (2022). Supervised LSTM modelling for classification of sinkhole-related anomalous InSAR deformation time series. 1-2. Abstract from EGU General Assembly 2022, Vienna, Austria. https://meetingorganizer.copernicus.org/EGU22/EGU22-4618.html

Singh, A., Sharma, A., Kumar, S. , Chang, L., Vashishtha, A., Raj, R., Agrawal, S., & Chauhan, P. (2022). Dielectric characterization and polarimetric analysis of lunar north polar crater Hermite-A using Chandrayaan-1 Mini-SAR, Lunar Reconnaissance Orbiter (LRO) Mini-RF, and Chandrayaan-2 DFSAR data. Advances in space research, 70(12), 4030-4055. https://doi.org/10.1016/j.asr.2022.04.059

Zhang, B. , Chang, L. , & Stein, A. (2021). Revealing long-term deformation time series of radar scatterers using multi-sensor SAR data. 5187-5190. Paper presented at IEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021, Virtual Conference, Belgium. https://doi.org/10.1109/IGARSS47720.2021.9555077

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+31534891701

ling.chang@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1213
Hallenweg 8
7522NH Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1213
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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