• 205 Citations
  • 6 h-Index
20112019

Research output per year

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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’

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Research Output

Assessment Of Sentinel-1 Products For Revealing Glacier Surface Movement In Indian Himalayas Using Differential Sar Interferometry

Mahagaonkai, A., Thakur, P. K. & Chang, L., Nov 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. Yokohama: IEEE, p. 2070-2073 4 p.

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

  • 1 Citation (Scopus)

    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
  • 57 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
  • 3 Citations (Scopus)
    12 Downloads (Pure)

    Individual scatterer model learning for satellite interferometry

    van de Kerkhof, B., Pankratius, V., Chang, L., van Swol, R. & Hanssen, R. F., 21 Oct 2019, In : IEEE transactions on geoscience and remote sensing. p. 1-8 8 p.

    Research output: Contribution to journalArticleAcademicpeer-review

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

    Hu, F., van Leijen, F. J., 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
  • 1 Citation (Scopus)
    19 Downloads (Pure)