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)

Wang, C., Wei, M., Qin, X., Li, T., Chen, S., Zhu, C. , Liu, P. , & Chang, L. (2024). Three-dimensional lookup table for more precise SAR scatterers positioning in urban scenarios. ISPRS journal of photogrammetry and remote sensing, 209, 133-149. https://doi.org/10.1016/j.isprsjprs.2024.01.028

Wang, C. , Chang, L., Wang, X. S., Zhang, B. , & Stein, A. (2024). Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A review. IEEE geoscience and remote sensing magazine, 12(1), 8-35. https://doi.org/10.1109/MGRS.2023.3344159

Sadhasivam, N. , Chang, L. , & Tanyaş, H. (Accepted/In press). An integrated approach for mapping slow-moving hillslopes and characterizing their activity using InSAR, slope units and a novel 2-D deformation scheme. Natural hazards. https://doi.org/10.1007/s11069-023-06353-8

He, K. , Lombardo, L. , Chang, L., Sadhasivam, N., Hu, X. , Fang, Z. , Dahal, A. , Fadel, I., Luo, G. , & Tanyas, H. (2023). Investigating earthquake legacy effect on hillslope deformation using InSAR-derived time series. Earth surface processes and landforms, 1-11. https://doi.org/10.1002/esp.5746

Luo, X., Zhang, X., Bao, J. , Chang, L., & Xi, W. (2023). Statistical Modeling of Shadows in SAR Imagery. Mathematics, 11(21), Article 4437. https://doi.org/10.3390/math11214437

Yang, M., Liao, M. , Chang, L., & Hanssen, R. F. (2023). 城市场景时序 InSAR 形变解译: 问题分析与研究进展. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 48(10), 1643-1660. https://doi.org/10.13203/j.whugis20230289

Singh, A., Kumar, S. , & Chang, L. (2023). An Insight to the Lunar Surface: Characterization From the L- and S-Band Polarimetric Data. In S. Kumar, P. Siqueira, H. Govil, & S. Agrawal (Eds.), Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 363-392). CRC Press/Balkema. https://doi.org/10.1201/9781003204466-17

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

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