4. Google Earth Engine Training
This hands-on Google Earth Engine (GEE) course aims to equip participants with comprehensive skills in remote sensing and geospatial analysis. Participants will start by understanding the fundamentals of remote sensing and receiving an introduction to GEE. They will learn to work with image and feature collections, perform filtering, create mosaics, clip images, and export data. Intermediate skills will cover Earth Engine objects, calculating indices, cloud masking, using reducers and creating time-series charts.
The course will also introduce machine learning for supervised classification, including accuracy assessment and area calculations.
Participants will explore change detection techniques and develop the ability to build and publish Earth Engine apps. Additionally, the course will cover the GEE Python API for automating tasks and the integration of GEE with QGIS for enhanced geospatial analysis.