Earth Science Data and Analysis with Google Earth Engine
The purpose of this course is to introduce participants to Google Earth Engine (GEE), one of the largest repositories of geospatial data (over 40 petabytes) and a powerful tool for its analysis.
We will begin with examples that are readily available on GEE. We then progress to writing our own code to unlock the platform’s potential, including: data visualisation, pixel-scale modelling using Google’s cloud computing resources, and the exporting of analysed data for further use outside of GEE.
Timothy Simich
GEE was central to my B.A. thesis: I performed high resolution modelling of the response of grassland biomass to meteorological conditions and revealed how dynamic and heterogeneous this process is across two large Australian regions. I believe that understanding the environment and climate is a serious issue in the 21st century and I want to share my experience in this field.
Timothy Simich is currently a student in the USI Master in Philosophy.
