Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect changes, map trends, and quantify differences on the Earth’s surface. This course covers the full range of topics in Earth Engine to give the participants practical skills to master the platform and implement their remote sensing projects.
The main objective is to train GIS and Remote Sensing Experts in the basics of satellite image processing in the Google Earth Engine (GEE) Environment by leveraging on the Google Earth high-resolution imagery and the GEE cloud-based data processing capacities for land use mapping, spatiotemporal analysis on forest monitoring and cartographic visualization.
- Overview of GEE
- Introduction to JavaScript
- GEE objects, strings, lists, Arrays
- Hands-on exercises
- Introduction to the concept of image and feature collections in GEE
- Filtering, reducing, mosaicking, cloud masking, clipping and working with image collections
- Accessing and displaying satellite imagery through the GEE Code Editor
- Asset management (importing and exporting data)
- Hands-on exercises
- Exploring spectral indices (NDVI, NDBI, LSWI)
- Stacking spectral indices and spectral bands
- Introduction to Machine Learning and Classification in GEE
- Supervised classification in GEE
- Accuracy assessment in GEE
- Map generation in QGIS
- Hands-on exercise