Geospatial analysis, nighttime light remote sensing, vulnerability to environmental disasters.
- Bachelor of Engineering in Urban Planning, Nanjing University
- Master of Landscape Architecture (focusing on Environmental Planning), University of California Berkeley
I am interested in using Geographic Information System (RS), Remote Sensing (RS), and spatial analysis techniques (such as spatial statistics) to study issues in urban and environmental planning. My dissertation will be focusing on measuring disaster impact and recovery using longitudinal data, and understand whether the differences between places can be explained by socioeconomic, policy, or other indicators.
- Courses Taught
LDARCH C188/GEOG C188 Geographic Information Systems
LD ARCH C177/ESPM C177 GIS and Environmental Spatial Data Analysis
LD ARCH 221 Quantitative Methods in Environmental Planning
- Selected Publications
Ju, Y., Dronova, I., Ma, Q., & Zhang, X. (2017). Analysis of urbanization dynamics in mainland China using pixel-based nighttime light trajectories from 1992 to 2013. International Journal of Remote Sensing (in press). https://doi.org/10.1080/01431161.2017.1302114
Ju, Y., Hsu, W.-C., Radke, J. D., Fourt, W., Lang, W., Hoes, O., … Neuhausler, R. (2017). Planning for the change: mapping sea level rise and storm inundation in Sherman Island using 3Di hydrodynamic model and LiDAR. In Seeing Cities Through Big Data (pp. 313–329). Springer. https://link.springer.com/chapter/10.1007/978-3-319-40902-3_18
Ju, Y., & Radke, J. (2015). Mapping sea level rise and storm inundation by 3di hydrodynamic model in the San Francisco Bay Area and its implications for future planning and design. In Landscape Research Record No.4 (pp. 211–222). Retrieved from http://thecela.org/wp-content/uploads/LRR4_Revised-12017.pdf