Research output per year
Research output per year
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 assistant 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
Relevant past projects:
- RailRadar (2016 - ): 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’
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Research output
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A model-backfeed deformation estimation method for revealing 20-year surface dynamics of the Groningen gas field using multi-platform SAR imagery
Zhang, B., Chang, L. & Stein, A., Jul 2022, In: International Journal of Applied Earth Observation and Geoinformation (JAG). 111, 102847.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
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
Singh, A., Sharma, A., Kumar, S., Chang, L., Vashishtha, A., Raj, R., Agrawal, S. & Chauhan, P., 10 May 2022, (E-pub ahead of print/First online) In: Advances in space research. 26 p.Research output: Contribution to journal › Article › Academic › peer-review
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Supervised LSTM modelling for classification of sinkhole-related anomalous InSAR deformation time series
Kulshrestha, A., Chang, L. & Stein, A., 23 May 2022, p. 1-2. 2 p.Research output: Contribution to conference › Abstract › Academic
Open AccessFile15 Downloads (Pure) -
Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series
Kulshrestha, A., Chang, L. & Stein, A., 8 Jun 2022, In: IEEE Journal of selected topics in applied earth observations and remote sensing. 15, p. 4559-4570 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
An improved distributed scatterers extraction algorithm for monitoring tattered ground surface subsidence with DSInSAR: A case study of loess landform in Tongren county
Bao, J., Luo, X., Liu, G., Chang, L., Wang, X., Shi, Y. & Wu, S., Jul 2021, In: International Journal of Applied Earth Observation and Geoinformation (JAG). 99, p. 1-11 11 p., 102322.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)10 Downloads (Pure)