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By the end of the workshop, you will have been introduced to:
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- the Google Earth Engine Code Editor
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- the GEE Code Editor
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- the basic logic of JavaScript in GEE
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- public satellite image collections such as Landsat and Sentinel-2
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- spatial and temporal filtering of image collections
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## Important interpretation note
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Google Earth Engine makes it easy to process and visualize large volumes of satellite data, but ecological interpretation still requires care.
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GEE makes it easy to process and visualize large volumes of satellite data, but ecological interpretation still requires care.
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For example, the disturbance workflow detects **spectral canopy change**, not harvesting directly. A strong decrease in NBR may indicate harvesting, but it may also result from fire, windthrow, insect damage, road construction, flooding, wetland change, residual cloud or shadow, or sensor artifacts.
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- a modern web browser
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- basic familiarity with GIS, remote sensing, or ecological spatial data
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No local installation is required for the Earth Engine exercises.
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*No local installation is required for the Earth Engine exercises.
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## How to use this website
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- recognize the strengths and limits of satellite-based analyses
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- continue learning through documentation, examples, and applied projects
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## Suggested citation
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If you use or adapt these materials, please cite:
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A slightly more polished version:
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```text
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Introductory workshop to Google Earth Engine: fundamentals and applications in ecology and forest management: CEF 2026 Workshop. https://forestcguy.github.io/cef2026-gee-workshop/
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Kabuanga, J. M., Verabhadraswamy, N., Vega Escobar, A., and Valeria, O. 2026.
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Introductory workshop to Google Earth Engine: fundamentals and applications
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in ecology and forest management. Workshop materials, CEF 2026 Workshop,
Copy file name to clipboardExpand all lines: modules/04_key_takeaways.md
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##Key takeaways
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# Key takeaways
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Google Earth Engine is a practical platform for ecological analysis and forest management because it combines satellite imagery, environmental datasets, cloud computing, and mapping tools in one place.
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