Select Publications
Books
2015, Emerging science and applications with microwave remote sensing data, Ge L, (ed.)
,2001, Development and Testing of Augmentations of Continuously-Operating GPS Networks to Improve their Spatial and Temporal Resolution, First, School of Geomatic Engineering, UNSW, Sydney
,Book Chapters
2008, 'Combination of multiple repeat orbits of ENVISAT for mine deformation monitoring', in Sideris MG (ed.), Observing Our Changing Earth, Springer Verlag, pp. 631 - 638
,2008, 'Land subsidence monitoring in Australia and China using satellite interferometry', in Sideris MG (ed.), Observing Our Changing Earth, Springer Verlag, pp. 743 - 750
,2008, 'Linear combinations for differential radar interferometry', in Sideris MG; Sideris MG (ed.), Observing Our Changing Earth, Springer Verlag, pp. 825 - 831
,2008, 'GeoTagMapper: An Online Map-based Geographic Information Retrieval System for Geo-Tagged Web Contant', in Peterson MP (ed.), International Perspectives on Maps and the Internet, Springer Verlag, pp. 153 - 164
,2007, 'The University of New South Wales at GeoCLEF 2006', in Nardi A; Peters C; Vicedo JL (ed.), Evaluation of Multilingual and Multi-modal Information Retrieval, Springer Science & Business Media, pp. 905 - 912
,2007, 'A supervised machine learning approach to toponym disambiguation', in Scharl A; Tochtermann K (ed.), The Geospatial Web ?C How geobrowsers, social software and the Web 2.0 are shaping the network society, Springer-Verlag London Ltd, London, pp. 117 - 128
,Journal articles
2024, 'Integrating spatial modeling-assisted InSAR phase unwrapping with temporal analysis for advanced mine subsidence time series mapping', International Journal of Applied Earth Observation and Geoinformation, 133, http://dx.doi.org/10.1016/j.jag.2024.104143
,2024, 'Monitoring slope stabilization of a reactivated landslide in the Three Gorges Reservoir Region (China) with multi-source satellite SAR and optical datasets', Landslides, 21, pp. 2227 - 2247, http://dx.doi.org/10.1007/s10346-024-02289-7
,2024, 'Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation', IEEE Transactions on Geoscience and Remote Sensing, 62, pp. 1 - 12, http://dx.doi.org/10.1109/TGRS.2023.3339475
,2024, 'Editorial: Towards a better understanding of the correlation between the subsidence pattern and land use type', Frontiers in Earth Science, 12, http://dx.doi.org/10.3389/feart.2024.1434425
,2024, 'Multi-branch Fusion: A Multi-branch Attention Framework by Combining Graph Convolutional Network and CNN for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, http://dx.doi.org/10.1109/TGRS.2024.3442784
,2023, 'A novel framework for combining polarimetric Sentinel-1 InSAR time series in subsidence monitoring - A case study of Sydney', Remote Sensing of Environment, 295, http://dx.doi.org/10.1016/j.rse.2023.113694
,2023, 'Dielectric Fluctuation and Random Motion over Ground Model (DF-RMoG): An Unsupervised Three-Stage Method of Forest Height Estimation Considering Dielectric Property Changes', Remote Sensing, 15, http://dx.doi.org/10.3390/rs15071877
,2023, 'Land subsidence modeling and assessment in the West Pearl River Delta from combined InSAR time series, land use and geological data', International Journal of Applied Earth Observation and Geoinformation, 118, http://dx.doi.org/10.1016/j.jag.2023.103228
,2023, 'Geodetic Monitoring for Land Deformation', Remote Sensing, 15, http://dx.doi.org/10.3390/rs15010283
,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
,2022, 'Biomass Calculations of Individual Trees Based on Unmanned Aerial Vehicle Multispectral Imagery and Laser Scanning Combined with Terrestrial Laser Scanning in Complex Stands', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14194715
,2022, 'Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14205234
,2022, 'Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14194711
,2022, 'A novel attention-based deep learning method for post-disaster building damage classification', Expert Systems with Applications, 202, http://dx.doi.org/10.1016/j.eswa.2022.117268
,2022, 'Inversion model of surface bare soil temperature and water content based on UAV thermal infrared remote sensing', Infrared Physics and Technology, 125, http://dx.doi.org/10.1016/j.infrared.2022.104289
,2022, 'PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data', ISPRS Journal of Photogrammetry and Remote Sensing, 186, pp. 123 - 139, http://dx.doi.org/10.1016/j.isprsjprs.2022.02.008
,2022, 'Bibliometric Analysis of Interferometric Synthetic Aperture Radar (InSAR) Application in Land Subsidence from 2000 to 2021', Journal of Sensors, 2022, http://dx.doi.org/10.1155/2022/1027673
,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
,2021, 'Analysis of the impact of the South-to-North water diversion project on water balance and land subsidence in Beijing, China between 2007 and 2020', Journal of Hydrology, 603, http://dx.doi.org/10.1016/j.jhydrol.2021.126990
,2021, 'Towards a deep-learning-based framework of sentinel-2 imagery for automated active fire detection', Remote Sensing, 13, http://dx.doi.org/10.3390/rs13234790
,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
,2021, 'Modeling-Assisted InSAR Phase-Unwrapping Method for Mapping Mine Subsidence', IEEE Geoscience and Remote Sensing Letters, 18, pp. 1059 - 1063, http://dx.doi.org/10.1109/LGRS.2020.2991687
,2021, 'Time-series unmanned aerial vehicle photogrammetry monitoring method without ground control points to measure mining subsidence', Journal of Applied Remote Sensing, 15, http://dx.doi.org/10.1117/1.JRS.15.024505
,2021, 'DInSAR Monitoring of Surface Subsidence by Fusing Sentinel-1A and -1B Data to Improve Time Resolution in a Mining Area', Canadian Journal of Remote Sensing, 47, pp. 596 - 606, http://dx.doi.org/10.1080/07038992.2021.1952554
,2021, 'Mining large-gradient subsidence monitoring using D-InSAR optimized by GNSS', Imaging Science Journal, 69, pp. 207 - 218, http://dx.doi.org/10.1080/13682199.2022.2156667
,2020, 'Towards a revised framework of modified time series InSAR for mapping land deformation', Journal of Geodesy, 94, http://dx.doi.org/10.1007/s00190-020-01419-y
,2020, 'Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach', Science of the Total Environment, 717, http://dx.doi.org/10.1016/j.scitotenv.2020.137125
,2020, 'Assessment of a house affected by ground movement using terrestrial laser scanning and numerical modeling', Environmental Earth Sciences, 79, http://dx.doi.org/10.1007/s12665-020-08929-0
,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
,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
,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
,2019, 'Non-contact structural health monitoring of a cable-stayed bridge: case study', Structure and Infrastructure Engineering, 15, pp. 1119 - 1136, http://dx.doi.org/10.1080/15732479.2019.1609529
,2019, 'Coseismic deformation and source model of the 12 November 2017 M
2018, 'Assessment of the accuracy among the common persistent scatterer and distributed scatterer based on SqueeSAR method', IEEE Geoscience and Remote Sensing Letters, 15, pp. 1877 - 1881, http://dx.doi.org/10.1109/LGRS.2018.2864274
,2018, 'InSAR reveals land deformation at Guangzhou and Foshan, China between 2011 and 2017 with COSMO-SkyMed data', Remote Sensing, 10, http://dx.doi.org/10.3390/rs10060813
,2018, 'Mapping land subsidence over the eastern Beijing city using satellite radar interferometry*', International Journal of Digital Earth, 11, pp. 504 - 519, http://dx.doi.org/10.1080/17538947.2017.1336651
,2018, 'Correlating the subsidence pattern and land use in Bandung, Indonesia with both Sentinel-1/2 and ALOS-2 satellite images', International Journal of Applied Earth Observation and Geoinformation, 67, pp. 54 - 68, http://dx.doi.org/10.1016/j.jag.2018.01.001
,2018, 'Instability characteristics of the cracked roof rock beam under shallow mining conditions', International Journal of Mining Science and Technology, 28, pp. 437 - 444, http://dx.doi.org/10.1016/j.ijmst.2018.03.005
,2018, 'Investigation on mining subsidence over appin-west cliff colliery using time-series SAR interferometry', International Journal of Remote Sensing, 39, pp. 1528 - 1547, http://dx.doi.org/10.1080/01431161.2017.1407501
,2018, 'Monitoring of ground deformation in Liulin district, China using InSAR approaches', International Journal of Digital Earth, 11, pp. 264 - 283, http://dx.doi.org/10.1080/17538947.2017.1322151
,2017, 'Integrated space geodesy for mapping land deformation over Choushui River Fluvial Plain, Taiwan', International Journal of Remote Sensing, 38, pp. 6319 - 6345, http://dx.doi.org/10.1080/01431161.2017.1353161
,2017, 'Satellite-based Estimates of Ground Subsidence in Ordos Basin, China', Journal of Applied Geodesy, 11, pp. 9 - 20, http://dx.doi.org/10.1515/jag-2016-0025
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