📣Latest News!

[05/2024] Invited talk at 2024 China Rising Star of Radar Academic Conference.

Land Subsidence Monitoring and Pattern Identification in Delta Metropolitan Areas Based on Time-series InSAR and Deep Learning: A Case Study in the Guangdong-Hong Kong-Macao Greater Bay Area, by Wu, Z. [Link]

[03/2024] Check our new publication on  IEEE Journal on Miniaturization for Air and Space Systems.

Mining-Related Subsidence Measurements Using a Robust Multi-Temporal InSAR Method and Logistic Model, by Ma, P., Yu, C., Wu, Z., Wang, Z., & Chen, J. [Link]

[03/2024] Our RSE paper on subsidence spatial pattern detection has been selected as an ESI Highly Cited Paper! [Link]

[02/2024] Check our new publication on Remote Sensing of Environment.

Improving time-series InSAR deformation estimation for city clusters by deep learning-based atmospheric delay correction, by Ma, P., Yu, C., Jiao, Z., Zheng, Y., Wu, Z.*, Mao, W., & Lin, H. [Link]

[01/2024] Check our new publication on IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Efficient Management and Processing of Massive Insar Images Using an HPC-Based Cloud Platform, by Wu, Z., Ma, P., Zhang, X., & Ye, G. [Link]

[12/2023] Check our new publication on Remote Sensing of Environment.

SAR-Transformer-based decomposition and geophysical interpretation of InSAR time-series deformations for the Hong Kong-Zhuhai-Macao Bridge, by Ma, P., Wu, Z., Zhang, Z., & Au, F. T. [Link]

[12/2023] Invited talk at Workshop on GeoAI and Big Data for Urban, Environment, and Sustainability cum, Hong Kong.

Detecting the Spatiotemporal Pattern of Land Subsidence Using InSAR and Deep Learning, by Wu, Z. [Link]

[11/2023] Calling for abstracts for our AAG2024 session.

I am co-chairing the session with Prof. Peifeng Ma on remote sensing and AI for sustainable development goals. This is part of Prof. Mei-Po Kwan's symposium on global key challenges and sponsored by AAG Geographic Information Science and Systems Specialty Group, Health and Medical Geography Specialty Group, Remote Sensing Specialty Group, and Spatial Analysis and Modeling Specialty Group. [Link]

[11/2023] Calling for abstracts for our EGU2024 session. 

Contribute your insights and expertise on InSAR and ground deformation! Convener: Roberta Bonì, Giulia Tessari, Alessandro Novellino, Pietro Milillo, and me. [Link]

[11/2023] Check our new publication on Sustainability.

How did urban environmental characteristics influence land surface temperature in Hong Kong from 2017 to 2022? Evidence from remote sensing and land use data, by Wu, Z., Zhang, X., Ma, P., Kwan, M.-P, & Liu, Y. [Link]

[10/2023] Check our new publication on International Journal of Digital Earth.

Understanding spatially nonstationary effects of natural and human-induced factors on land subsidence based on multi-temporal InSAR and multi-source geospatial data: a case study in the Guangdong-Hong Kong-Macao Greater Bay Area, by Wu, Z., Zhang, X., Cai, J., Ma, P., & Kwan, M.-P. [Link]

[10/2023] 1st Place Excellent PhD Dissertation Award from IEEE GRSS HK Chapter. 

Thesis title: Detecting the Spatiotemporal Pattern of Land Subsidence Using InSAR and Deep Learning. [Link]

[10/2023] Check our new publication on IEEE Transactions on Geoscience and Remote Sensing. 

GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global–Local Attention, by Zhu, Q., Guo, H., Zhang, L., Liang, D., Wu, Z., & Gou, Y. [Link]

[09/2023] Invited talk at Cornell BioM Cube, Ithaca, United States.

[09/2023] Special Prize, China Geospatial Technology Advancement Award 中国地理信息科技进步奖特等奖. 

The project is Key Technologies and Applications of Radar Remote Sensing Monitoring and Intelligent Interpretation for Major Infrastructure Deformation, led by Prof. Hui Lin and Prof. Peifeng Ma. [Link]

[09/2023] I've joined Cornell University for my Postdoctoral research.

My focus will be on remote sensing, deep learning, and carbon neutrality, working with Prof. Ying Sun.

[08/2023] Rising Star in GIS at the 11th China College GIS Forum. 

The award is given to 12 graduate students recognized nationwide. [Link]

[08/2023] I've successfully passed my PhD oral defense! 

End of four years of intense yet rewarding research and learning! Immensely grateful to my supervisors Prof. Peifeng Ma and Prof. Hongsheng Li. Special thanks to my committee chair Prof. Mei-Po Kwan  and other members Prof. Xiaoli Ding and Prof. Lin Liu.

[03/2023] 1st place in the AAG Remote Sensing Specialty Group Student Honors Paper Competition. 

Deep learning of InSAR data for deciphering millimeter-level land subsidence bowls in deltaic metropolitan areas, by Wu, Z., Ma, P., Kwan, M.-P., Lin, H., Liu, L., & Li, H. [Link]

[03/2023] Check our new publication on Remote Sensing of Environment. 

Automatic detection and classification of land subsidence in deltaic metropolitan areas using distributed scatterer InSAR and Oriented R-CNN, by Wu, Z., Ma, P., Zheng, Y., Gu, F., Liu, L., & Lin, H. [Link]

[12/2022] Our project has been distinguished as one of the 25 representative scientific research achievements in celebration of the 25th anniversary of the Hong Kong SAR's establishment.

In the project "Satellite and Mobile Sensing Technologies and Applications: A New Angle to Promote Public Health Infrastructure", I actively contributed to the AI-based intelligent interpretation of spatiotemporal patterns of the urban infrastructure deformation. [Link] [Link]

[10/2022] Check the official United Nations publication I have contributed to. 

Geospatial Practices for Sustainable Development in South-East Asia 2022: A Compendium. Proud to work on it during my internship at the UN! [Link]

[03/2022] Invited talk at the United Nations Youth Forum on Space Applications and the SPACE+ Initiative. 

Remote sensing of land deformation and early warning of geo-hazards, by Wu, Z., & Ma, P. [Link]