Jiye Leng

Jiye is currently a Ph.D. candidate at University of Toronto, major in remote sensing and earth system modelling. Jiye is adept in spatial and time-series data analysis, mathematical modelling, and image processing using machine learning methods with C language, Python, and MATLAB. Jiye is also familiar with big data processing using supercomputers with shell scripts and website updates with Javascript.
Jiye participated in and led several end-to-end research projects, including global land cover simulation, remote sensing image processing for land cover classification, Lidar point cloud data analysis, and social media data time-series analysis.

Jiye is currently working on improving terrestrial ecosystem models for better simulating gross primary productivity and evapotranspiration.

Publications

Xie, X., Li, A.*, Chen, J. M., Guan, X., Leng, J, 2022. Quantifying scaling effect on gross primary productivity estimation in the upscaling process of surface heterogeneity. Journal of Geophysical Research: Biogeosciences

K. Huang*, J. Leng, C. Ren, Y. Xu, X. Li, 2021. Facilitating urban climate forecasts in rapidly urbanizing regions with land-use change modeling. Urban Climate

P.S. Yeung*, J.C. Fung, C. Ren, Y. Xu, K. Huang, J. Leng, 2021. Investigating future urbanization’s impact on local climate under different climate change scenarios in MEGA-urban regions: A case study of the Pearl River Delta, China. Atmosphere

X. Liang, X. Liu*, G. Chen, J. Leng, G. Chen, 2020. Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones. International Journal of Geographical Information Science

G. Chen, X. Li*, X. Liu, Y. Chen, X. Liang, J. Leng, X. Xu, W. Liao, Y. Qiu, Q. Wu, K. Huang, 2020. Global projections of future urban land expansion under Shared Socioeconomic Pathways. Nature Communications