GEE is a practical platform for geospatial analysis because it combines public datasets, cloud computing, mapping tools, charts, and exports in one environment.
In this workshop, you used GEE to:
access datasets from the Earth Engine Data Catalog
filter image collections by space, time, and metadata
process imagery without downloading large archives
create raster products from satellite and terrain data
inspect pixel-level and area-level patterns
summarize results with reducers and charts
classify land cover with Random Forest
export outputs and share results through a simple GEE app
The main strength of GEE is scalability. The same workflow used for Forêt Duparquet can be adapted to other study areas, management units, watersheds, protected areas, or regional assessments.
GEE makes large-scale analysis easier, but it does not remove the need for careful interpretation. Remote sensing outputs should be checked with field knowledge, reference data, and an understanding of uncertainty.
Further reading¶
Google Earth Engine Guides
Official documentation for Earth Engine concepts, datasets, objects, reducers, mapping, exports, and the Code Editor.
https://developers .google .com /earth -engine /guides Google Earth Engine Beginner’s Cookbook
Beginner-friendly examples for Earth Engine data types, map display, image collections, and common operations.
https://developers .google .com /earth -engine /tutorials /community /beginners -cookbook End-to-End Google Earth Engine, Spatial Thoughts
A practical course covering Earth Engine workflows from data access and processing to classification and exports.
https://courses .spatialthoughts .com /end -to -end -gee .html Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications
A comprehensive open-access book on Earth Engine concepts and applications.
https://www .eefabook .org /go -to -the -book .html Google Earth Engine Applications, MDPI Books
A collection of applied studies using Google Earth Engine across environmental and remote sensing topics.
https://www .mdpi .com /books /reprint /1262 -google -earth -engine -applications Earth Engine and Geemap: Geospatial Data Science with Python
A useful resource for using Earth Engine with Python and geemap.
https://book .geemap .org /index .html