Investigating The Use of Google Earth Engine on The Improvement of Students' Remote Sensing Analytical Skills


  • Tuti Purwaningsih Department of Statistics, Universitas Islam Indonesia, Indonesia
  • Rochmad Novian Inderanata Doctoral Student of Technology and Vocational Education, Graduate School, Yogyakarta State University, and Department of Mechanical Engineering Education, Universitas Sarjanawiyata Tamansiswa, Indonesia


google earth engine, remote sensing skill, analytical skill, visualization, satellite imagery, training


GEE is a cloud-based software that can be accessed for free. GEE is provided by Google as a planetary scale platform for Earth science data & analysis. it really helps the learning process in remote sensing courses.This encourages lecturers to provide training on GEE to students. The training consists of (1) introduction to remote sensing, (2) Band combination (3) Visualization of Satellite Image (4) Classification of Satellite Imagery. Before and after the training, there was a pre-test and post-test to find out whether students have good remote sensing analytical skills after using GEE or not. From the results, it can be seen that the analytical skills of students have increased significantly, with pre-test score of 30 (per 100) compared to post-test score about 75 (per 100).


Amani, M., Ghorbanian, A., Ahmadi, S. A., Kakooei, M., Moghimi, A., Mirmazloumi, S. M., … Brisco, B. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5326–5350.

Kumar, L., & Mutanga, O. (2018). Google Earth Engine applications since inception: Usage, trends, and potential. Remote Sensing, 10(10).