Visiting Ph.D. Student
Center for Global Change and Earth Observations (CGCEO), Michigan State University
Member of MSU Roy Lab
Email: xuyunci@msu.edu
Office: Manly Miles Building, 1405 S. Harrison Rd, East Lansing, MI 48824
2024 - Present Visiting Ph.D. Student, Michigan State University, USA
2022 - Present Ph.D. Student, Remote Sensing and Geographical Information System, School of Earth Sciences, Zhejiang University, China
2018 - 2022 B.Sc., Geographical Information Science, School of Earth Sciences, Zhejiang University, China
Aquaculture remote sensing
Semantic segmentation and mapping in remote sensing
Application of machine learning in remote sensing
L. Lu, Y. Xu, X. Huang, H. K. Zhang and Y. Du, "Large-scale mapping of plastic-mulched land from Sentinel-2 using an index-feature-spatial-attention fused deep learning model," in Science of Remote Sensing, 100188, 2025, doi: https://doi.org/10.1016/j.srs.2024.100188
Y. Xu and L. Lu, "An Attention-Fused Deep Learning Model for Accurately Monitoring Cage and Raft Aquaculture at Large-Scale Using Sentinel-2 Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9099-9109, 2024, doi: 10.1109/JSTARS.2024.3390762.
Y. Xu and L. Lu, "Spatiotemporal distribution of cage and raft aquaculture in China's offshore waters using object-oriented random forest classifier," 2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics), Quebec City, QC, Canada, 2022, pp. 1-6, doi: 10.1109/Agro-Geoinformatics55649.2022.9859080.
Y. Xu, W. Wu and L. Lu, "Remote Sensing Mapping of Cage and Floating-raft Aquaculture in China's Offshore Waters Using Machine Learning Methods and Google Earth Engine," 2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Shenzhen, China, 2021, pp. 1-5, doi: 10.1109/Agro-Geoinformatics50104.2021.9530297.
Xu, Y., Yan, L., Roy, D.P., A novel approach for satellite coastal-aquaculture cage and raft detection using sensor band misregistration parallax over coastal waves, Presentation in Symposium on Spatial AI & Data Science for Sustainability: Geospatial Artificial Intelligence, Remote Sensing, and Deep Learning, 2025 American Association of Geographers (AAG) Annual Meeting, Detroit, 24 – 28 March 2025.