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dr. L. Chang (Ling)

Associate Professor

About Me

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.

Expertise

Earth & Environmental Sciences
# Railway
# Synthetic Aperture Radar
# Time Series
Engineering & Materials Science
# Interferometry
# Radar
# Satellites
# Synthetic Aperture Radar
# Time Series

Organisations

Publications

Recent
Wang, C., Wei, M., Qin, X., Li, T., Chen, S., Zhu, C. , Liu, P. , & Chang, L. (2024). Three-dimensional lookup table for more precise SAR scatterers positioning in urban scenarios. ISPRS journal of photogrammetry and remote sensing, 209, 133-149. https://doi.org/10.1016/j.isprsjprs.2024.01.028
Luo, X., Zhang, X., Bao, J. , Chang, L., & Xi, W. (2023). Statistical Modeling of Shadows in SAR Imagery. Mathematics, 11(21), Article 4437. https://doi.org/10.3390/math11214437
Yang, M., Liao, M. , Chang, L., & Hanssen, R. F. (2023). 城市场景时序 InSAR 形变解译: 问题分析与研究进展. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 48(10), 1643-1660. https://doi.org/10.13203/j.whugis20230289
Singh, A., Kumar, S. , & Chang, L. (2023). An Insight to the Lunar Surface: Characterization From the L- and S-Band Polarimetric Data. In S. Kumar, P. Siqueira, H. Govil, & S. Agrawal (Eds.), Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 363-392). CRC Press/Balkema. https://doi.org/10.1201/9781003204466-17
Kulshrestha, A. (2023). InSAR time series analysis for sinkhole detection using deep learning. [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/10.3990/1.9789036557283

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Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Contact Details

 
 

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

Organisations

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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