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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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
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 proceeding › Conference contribution › Academic › peer-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 journal › Article › Academic › peer-review
Open Access
File
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 journal › Article › Academic › peer-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 journal › Article › Academic › peer-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 journal › Article › Academic › peer-review
Open Access
File
1
Citation
(Scopus)
19
Downloads
(Pure)