Personal profile
Projects
UT-ITC-ACQUAL
Personal profile
Ling Chang received her M.S.E. degree in Geodesy and Survey Engineering in Tongji University, China, and the Ph.D. degree from the Delft University of Technology (TUDelft), the Netherlands, in 2010 and 2015. From 2015 to 2018 she was working as a postdoctoral researcher on structural health monitoring of railway infrastructure using satellite radar interferometry (InSAR) at the department of Structural Engineering, TUDelft.
Since April 2018, she moved to the University of Twente, where she is currently associate professor in microwave remote sensing at the faculty of Geo-Information Science and Earth Observation (ITC), department of Earth Observation Science (EOS). Her research interests include statistical hypothesis testing, time series modelling, and change detection, using satellite-borne remote sensing technology, particularly InSAR techniques.
Projects
Projects and awards:
- AlignSAR (2023 - ): ESA Open SAR library project
- The winner of the Prof. J.M. Tienstra Research Prize 2022 (April 2022)
- Laureate of the NCG talent program 'Sinkhole geodesy in the Netherlands' (June 2020)
- RailRadar (2016 - 2018): TUDelft-ProRail project ‘Structural health monitoring of railway infrastructure using satellite radar interferometry’,
- ESA-MOST Dragon 4 project ID 32278 (2016 - ): ‘Three- and four-dimensional topographic measurement and validation’; research topic: Towards near-real time InSAR deformation estimation
- TUD-InfraSpeed project (2016): ‘Stability assessment of the HSL-Zuid railway 2006--2010 and 2010--2016 using satellite radar interferometry’,
- ESA-MOST Dragon 3 project ID 10607 (2012 - 2016): ‘Monitoring crustal deformation and man-made infrastructure in China using InSAR observations’
Teaching
Radar Remote Sensing (course coordinator)
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
European coastal deformation drives unequal exposure to climate hazards
Chen, H., Wang, C., Fernandez, J., Hou, H., Chang, L. & Li, Q., 14 Jan 2026, In: Communications Earth and Environment. 7, 1, 168.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
SE-CAE: A self-evolving CAE framework for noise-free InSAR
Yang, M., Yu, H., Wu, H., Chang, L. & Yu, H., 5 Mar 2026, In: IEEE transactions on geoscience and remote sensing. 64, 5507618.Research output: Contribution to journal › Article › Academic › peer-review
-
A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones With Multiple Data Sources
Phusakulkajorn, W., Unsiwilai, S., Chang, L., Li, Z. & Nunez, A., 25 Jun 2025, In: IEEE transactions on instrumentation and measurement. 74, 3544017.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)21 Downloads (Pure) -
A joint real- and complex-valued network for classification of Pol(In)SAR images
Ma, Y., Aghababaei, H., Chang, L., Deng, X. & Wei, J., 25 Aug 2025, In: IEEE Journal of selected topics in applied earth observations and remote sensing. 18, p. 22256-22270 15 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Downloads (Pure) -
Conditional Dual Diffusion for Multimodal Clustering of Optical and SAR Images
Liu, S. & Chang, L., 23 Jan 2025, In: IEEE transactions on circuits and systems for video technology. 35, 6, p. 5318-5330 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Link opens in a new tab Citations (Scopus)76 Downloads (Pure)