Expertises
Earth & Environmental Sciences
# Railway
# Synthetic Aperture Radar
# Time Series
Engineering & Materials Science
# Interferometry
# Radar
# Satellites
# Synthetic Aperture Radar
# Time Series
Verbonden aan
Publicaties
Recent
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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Vakken Collegejaar 2023/2024
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2022/2023
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(gebouwnr. 19), kamer 1213
Hallenweg 8
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1213
Postbus 217
7500 AE Enschede