My approach to teaching is engaging and interactive, designed to foster an active learning environment where students are inspired to deepen their understanding and apply their knowledge to real-world problems. I have extensive experience in course development and delivery. As a postdoctoral fellow, I assisted in designing two courses using the Canvas LMS, in one of which I delivered 20 lectures. Currently, I am preparing a course on advanced applications of Google Earth Engine, focusing on research and practical applications in environmental studies. During my PhD, I served as a teaching assistant for courses including Introduction to Geographic Information Systems, Urban Development Strategy, and Multivariate Statistical Analysis. I delivered over 60 lectures in these courses.

SOGIS GEE: https://drive.google.com/file/d/1X-Nk-K1vfCQ2QqF92aAKIEw1Fdw7e7nC/view?usp=drive_link

Landsat-based LST TimeSeries: https://code.earthengine.google.com/2e25403d65b607efb3c4e2814b70032c

Buffer creation: https://code.earthengine.google.com/20429a5efd6f38ce1ddad8e755177f7e

Urban Heat Island: https://code.earthengine.google.com/20edd9fa2b2b22d650305b03336191e2

Discussion: https://code.earthengine.google.com/c359932f1b26813ea60b517792c46466

CV_ Yuanhui Zhu