By Mr Jianming Kuang

Journal articles

He Y; Ng AHM; Wang H; Kuang J, 2023, 'Understanding the Spatiotemporal Characteristics of Land Subsidence and Rebound in the Lianjiang Plain Using Time-Series InSAR with Dual-Track Sentinel-1 Data', Remote Sensing, 15, http://dx.doi.org/10.3390/rs15133236

Kuang J; Ng AHM; Ge L; Metternicht GI; Clark SR, 2023, 'Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement', Remote Sensing, 15, http://dx.doi.org/10.3390/rs15020369

Kuang J; Ng AHM; Ge L, 2022, 'Displacement characterization and spatial-temporal evolution of the 2020 aniangzhai landslide in danba county using time-series insar and multi-temporal optical dataset', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14010068

Zhang Q; Ge L; Zhang R; Metternicht GI; Du Z; Kuang J; Xu M, 2021, 'Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data', Remote Sensing of Environment, 264, http://dx.doi.org/10.1016/j.rse.2021.112575

Karimzadeh S; Matsuoka M; Kuang J; Ge L, 2019, 'Spatial prediction of aftershocks triggered by a major earthquake: A binary machine learning perspective', ISPRS International Journal of Geo-Information, 8, http://dx.doi.org/10.3390/ijgi8110517

Karimzadeh S; Matsuoka M; Kuang J; Ge L, 2019, 'Spatial Prediction of Aftershocks Triggered by a Major Earthquake: A Binary Machine Learning Perspective', ISPRS International Journal of Geo-Information, 8, pp. 462 - 462, http://dx.doi.org/10.3390/ijgi8100462

Du Z; Ge L; Ng AHM; Zhu Q; Zhang Q; Kuang J; Dong Y, 2019, 'Long-term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors', Land Degradation and Development, 30, pp. 1785 - 1801, http://dx.doi.org/10.1002/ldr.3347

Kuang J; Ge L; Metternicht GI; Ng AHM; Wang H; Zare M; Kamranzad F, 2019, 'Coseismic deformation and source model of the 12 November 2017 M W 7.3 Kermanshah Earthquake (Iran–Iraq border) investigated through DInSAR measurements', International Journal of Remote Sensing, 40, pp. 532 - 554, http://dx.doi.org/10.1080/01431161.2018.1514542

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