Zheyuan Du

Orcid: 0000-0002-8294-9636

According to our database1, Zheyuan Du authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Land subsidence modeling and assessment in the West Pearl River Delta from combined InSAR time series, land use and geological data.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Geodetic Monitoring for Land Deformation.
Remote. Sens., January, 2023

Toward a Wide-Scale Land Subsidence Product in Eastern States of Australia.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry.
Remote. Sens., 2022

InSAR Analysis Ready Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection.
Remote. Sens., 2021

Quantitative, Near Real-Time Mapping of Bushfires Through Integration of Optical and SAR Remote Sensing Techniques.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Detection of Pre-Failure Deformation of the 2017 Maoxian Landslide with Time-Series Insar and Multi-Temporal Optical Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
A Modified RMoG Model for Forest Height Inversion Using L-Band Repeat-Pass Pol-InSAR Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Insar Reveals the Long Term Subsidence and Potential Landdegradation in Mexico City from 2004 to 2018 with Five Sar Sensors.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
InSAR Reveals Land Deformation at Guangzhou and Foshan, China between 2011 and 2017 with COSMO-SkyMed Data.
Remote. Sens., 2018

Assessment of the Accuracy Among the Common Persistent Scatterer and Distributed Scatterer Based on SqueeSAR Method.
IEEE Geosci. Remote. Sens. Lett., 2018

Mapping land subsidence over the eastern Beijing city using satellite radar interferometry.
Int. J. Digit. Earth, 2018

Monitoring of ground deformation in Liulin district, China using InSAR approaches.
Int. J. Digit. Earth, 2018

Correlating the subsidence pattern and land use in Bandung, Indonesia with both Sentinel-1/2 and ALOS-2 satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Investigation on the Correlation Between the Subsidence Pattern and Land Use in Bandung, Indonesia with Both Sentinel-1/2 and ALOS-2 Satellite Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2, Sentinel-1 and ALOS-2 data.
Int. J. Appl. Earth Obs. Geoinformation, 2017

Ground deformation monitoring in Beijing using both Sentinel and ALOS.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

An innovative distributed scatterer based time-series InSAR method over underground mining region.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Subsidence Monitoring over the Southern Coalfield, Australia Using both L-Band and C-Band SAR Time Series Analysis.
Remote. Sens., 2016

Three dimensional subsidence monitoring in the south of Sydney.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Time series interferometry integrated with groundwater depletion measurement from grace.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Near real-time satellite mapping of the 2015 Gorkha earthquake, Nepal.
Ann. GIS, 2015

Land subsidence characteristics of Ordos using differential interferometry and persistent scatterer interferometry.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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