Use Earth Engine in your teaching! The materials on this page are community developed curricula for teaching Earth Engine in higher education. Scroll the directories below to see all the contributed content. If you use these materials to develop courses with Earth Engine, please give attribution! To contribute teaching materials to this page, contact firstname.lastname@example.org.
Introductory Remote Sensing Code Labs
Some Code Labs have been translated to Japanese by Yu Fujimoto of Nara University, Nara City, Japan.
Introductory Workshop on Geospatial Analysis at Yale-NUS Data 2.0
Tirthankar "TC" Chakraborty, a doctoral scholar at Yale University, developed an introductory workshop on geospatial analysis using Google Earth Engine for the Yale-NUS Data 2.0 hackathon organized by Data-Driven Yale and Yale-NUS college.
Introductory Remote Sensing Lectures
Geospatial Software Design Exercises
Advanced Remote Sensing Tutorials
These tutorials were developed by Ge (Jeff) Pu and Dr. Lindi Quackenbush at State University of New York - College of Environmental Science and Forestry as part of an advanced remote sensing course. Funding for developing these tutorials was provided by AmericaView.
Chinese language materials
These docs are contributed by Jinzhu Wang of Southwest University & Deakin University Australia, School of Life and Environmental Sciences. They are based on the Google Earth Engine guide and tutorials.
These slides and docs are contributed by Shiwei Li from Beijing Huanyuyiyan Research Center. They were used for a two-day workshop held at the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing, China, March 8-9, 2019.
Russian language materials
These docs are contributed by Elizaveta Khazieva, Nikolay Nikiforov and Nikolay Bilev at Moscow State University, Geology Department, for a 2019 course on new approaches for geospatial data analysis. Please see the providers' course website for an alternative format that includes videos, links to suggested reading, and tasks.
These tutorials are provided by Vasily Lobanov and Yaroslav Vasyunin, Center for Remote Sensing at the Academy of Engineering, RUDN University, Moscow.
The Global Snow Observatory
Materials developed by James Coll, Xingong Li and Terry Slocum at the University of Kansas for a workshop at the Association of American Geographers 2015 annual meeting are available from the Global Snow Observatory website.