dr. L. Chang (Ling)

Earth & Environmental Sciences

# Railway
# Synthetic Aperture Radar
# Time Series

Engineering & Materials Science

# Interferometry
# Radar
# Satellites
# Synthetic Aperture Radar
# Time Series

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Kulshrestha, A. (2023). InSAR time series analysis for sinkhole detection using deep learning. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036557283

Trivedi, M. B. , Marshall, M., Estes, L. , de Bie, C. A. J. M. , Chang, L. , & Nelson, A. (2023). Cropland mapping in tropical smallholder systems with seasonally stratified Sentinel-1 and Sentinel-2 spectral and textural features. Remote sensing, 15(12), 1-20. Article 3014. https://doi.org/10.3390/rs15123014

Chang, L., Kulshrestha, A. , Zhang, B. , & Zhang, X. (2023). Extraction and analysis of radar scatterer attributes for PAZ SAR by combining time series InSAR, PolSAR, and land use measurements. Remote sensing, 15(6), Article 1571. https://doi.org/10.3390/rs15061571

Zhang, X. , Chang, L. , Wang, M. , & Stein, A. (2023). Measuring polycentric urban development with multi-temporal Sentinel-1 SAR imagery: A case study in Shanghai, China. International Journal of Applied Earth Observation and Geoinformation, 121, Article 103340. Advance online publication. https://doi.org/10.1016/j.jag.2023.103340

Tanyas, H., He, K., Sadhasivam, N. , Lombardo, L. , Chang, L., Fang, Z. , Dahal, A. , Fadel, I., Hu, X., & Luo, G. (2023). Monitoring and prediction of InSAR-derived post-seismic hillslope deformation rates. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-14415

He, K. , Tanyas, H. , Chang, L., Hu, X., Luo, G. , & Lombardo, L. (2023). Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions. Remote sensing of environment, 289, Article 113518. https://doi.org/10.1016/j.rse.2023.113518

Zhang, B. (2023). Quantifying earth surface changes with multi-sensor SAR imagery. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036554985

Zhang, B. , Chang, L. , & Stein, A. (2022). Assessment of Persistent Scatterers Behaviour in Co-Polarimetric PAZ Data with Model-Backfeed Method. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 735-738). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9884658

He, K. , Lombardo, L. , Chang, L., Sadhasivam, N., Hu, X. , Fang, Z. , Dahal, A. , Fadel, I., Luo, G. , & Tanyas, H. (2022). Hillslope recovery after a major earthquake: InSAR-derived time series analyses to capture earthquake-legacy effect. https://doi.org/10.31223/X5Q65W

Zhang, B. , Chang, L. , & Stein, A. (2022). A model-backfeed deformation estimation method for revealing 20-year surface dynamics of the Groningen gas field using multi-platform SAR imagery. International Journal of Applied Earth Observation and Geoinformation (JAG), 111, Article 102847. https://doi.org/10.1016/j.jag.2022.102847

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