Jialin Sun

PhD Student, Landscape Architecture & Environmental Planning

SPECIALIZATIONS

Urban sustainability; geospatial data science; GIS, remote sensing, machine learning, agriculture, environmental modeling

EDUCATION

MS, Land Use and Information Technology, China Agricultural University, 2024

BEng, Remote Sensing Science and Technology, Nanjing University of Information Science and Technology, 2022

Publications

Sun, J., Yan, S., Yao, X., Gao, B., & Yang, J. (2024). "A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images." International Journal of Applied Earth Observation and Geoinformation, 133, 104085.

Sun, J., Yan, S., Alexandridis, T., Yao, X., Zhou, H., Gao, B., ... & Li, Y. (2024). "Enhancing crop mapping through automated sample generation based on segment anything model with medium-resolution satellite imagery." Remote Sensing, 16(9), 1505.

Sun, J., Yao, X., Yan, S., Xiong, Q., Li, G., & Huang, J. (2024). "Large-scale crop mapping based on multi-source remote sensing intelligent interpretation: A spatiotemporal data cubes approach." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Yan, S., Yao, X., Sun, J., Huang, W., Yang, L., Zhang, C., ... & Zhu, D. (2024). "TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series." Computers and Electronics in Agriculture, 220, 108902.