| Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data Q Zhang, L Ge, R Zhang, GI Metternicht, Z Du, J Kuang, M Xu Remote Sensing of Environment 264, 112575, 2021 | 63 | 2021 |
| Coseismic deformation and source model of the 12 November 2017 MW 7.3 Kermanshah Earthquake (Iran–Iraq border) investigated through DInSAR measurements J Kuang, L Ge, GI Metternicht, AHM Ng, H Wang, M Zare, F Kamranzad International journal of remote sensing 40 (2), 532-554, 2019 | 33 | 2019 |
| Spatial prediction of aftershocks triggered by a major earthquake: A binary machine learning perspective S Karimzadeh, M Matsuoka, J Kuang, L Ge ISPRS international journal of geo-information 8 (10), 462, 2019 | 25 | 2019 |
| Long‐term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors Z Du, L Ge, AHM Ng, Q Zhu, Q Zhang, J Kuang, Y Dong Land degradation & development 30 (15), 1785-1801, 2019 | 24 | 2019 |
| Displacement characterization and spatial-temporal evolution of the 2020 aniangzhai landslide in danba county using time-series insar and multi-temporal optical dataset J Kuang, AHM Ng, L Ge Remote Sensing 14 (1), 68, 2021 | 18 | 2021 |
| Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement J Kuang, AHM Ng, L Ge, GI Metternicht, SR Clark Remote Sensing 15 (2), 369, 2023 | 5 | 2023 |
| Understanding the Spatiotemporal Characteristics of Land Subsidence and Rebound in the Lianjiang Plain Using Time-Series InSAR with Dual-Track Sentinel-1 Data Y He, AHM Ng, H Wang, J Kuang Remote Sensing 15 (13), 3236, 2023 | 1 | 2023 |
| Detection and Deformation Characterization of the 2020 Aniangzhai Landslide Using Time-Series Insar and Optical Datasets J Kuang, L Ge, AHM Ng, Q Zhang 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6595 …, 2021 | 1 | 2021 |
| Detection of Pre-Failure Deformation of the 2017 Maoxian Landslide with Time-Series Insar and Multi-Temporal Optical Datasets J Kuang, L Ge, AHM Ng, Z Du, Q Zhang IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 1 | 2020 |
| Multi-source Satellite Remote Sensing Techniques for Landslide Monitoring and Characterization J Kuang UNSW Sydney, 2024 | | 2024 |
| The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation C Liu, Q Zhang, S Shirowzhan, T Bai, Z Sheng, Y Wu, J Kuang, L Ge IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Using Multi-Temporal Optical Remote Sensing Images For Monitoring Post-Failure Evolution Of The Aniangzhai Landslide In Danba County, China J Kuang, L Ge, Q Zhang, C Liu IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Co-Seismic Deformation and Source Model of the 25 April 2015 MW 7.8 Nepal Earthquake and the 12 May 2015 MW 7.2 Aftershock J Kuang, L Ge, AHM Ng IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | | 2019 |
| Integration of DInSAR and GPS for Co-seismic Modelling and Assessment of Potential Seismic Hazard J Kuang UNSW Sydney, 2019 | | 2019 |
| Source Model of the 12 November 2017 Mw7.3 Kermanshah Earthquake (Iran-Iraq Border) Inferred from ALOS-2 Scansar and Sentinel-L Data J Kuang, L Ge, GI Metternicht, AHM Ng, M Zare, F Kamranzad IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | | 2018 |
| Long-Term Subsidence in Mexico City from 2004 to 2018 revealed by Five SAR Sensors Z Du, L Ge, AHM Ng, Q Zhu, Q Zhang, J Kuang, Y Dong | | |
Linlin GeUniversity of New South WalesVerified email at unsw.edu.au
