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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’

Fingerprint Dive into the research topics where Ling Chang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Satellites Engineering & Materials Science
synthetic aperture radar Earth & Environmental Sciences
Time series Engineering & Materials Science
Interferometry Engineering & Materials Science
Synthetic aperture radar Engineering & Materials Science
Monitoring Engineering & Materials Science
Radar Engineering & Materials Science
time series Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2019

35 Downloads (Pure)

Identification of deformation pattern changes caused by enhanced oil recovery (EOR) using InSAR

Chang, L., Ku, O. & Hanssen, R., 2019, In : International journal of remote sensing. 40, 4, p. 1495-1505 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
enhanced oil recovery
synthetic aperture radar
ground movement
hydrocarbon
TerraSAR-X
1 Downloads (Pure)

Incorporating Temporary Coherent Scatterers in Multi-Temporal InSAR Using Adaptive Temporal Subsets

Hu, F., Wu, J., Chang, L. & Hanssen, R. F., Oct 2019, In : IEEE transactions on geoscience and remote sensing. 57, 10, p. 7658-7670 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Time series
time series
Synthetic aperture radar
synthetic aperture radar
Surface scattering
1 Downloads (Pure)

Monitoring Deformation along Railway Systems Combining Multi-Temporal InSAR and LiDAR Data

Hu, F., van Leijen, F., Chang, L., Wu, J. & Hanssen, R. F., 2 Oct 2019, In : Remote sensing. 11, 19, p. 1-19 19 p., 2298.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
railway
radar
monitoring
synthetic aperture radar
laser

Automatic InSAR phase modeling and quality assessment using machine learning and hypothesis testing

Van De Kerkhof, B., Pankratius, V., Chang, L., Van Swol, R. & Hanssen, R. F., 31 Oct 2018, 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Valencia: IEEE, p. 4427-4430 4 p. 8518460. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

hypothesis testing
Parameterization
Learning systems
parameterization
Time series
8 Citations (Scopus)

Monitoring Line-Infrastructure With Multisensor SAR Interferometry: Products and Performance Assessment Metrics

Chang, L., Dollevoet, R. P. B. J. & Hanssen, R. F., 1 May 2018, In : IEEE Journal of selected topics in applied earth observations and remote sensing. 11, 5, p. 1593-1605 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

performance assessment
interferometry
Interferometry
synthetic aperture radar
infrastructure