earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab.

Features

  • 360+ Python notebook examples for Earth Engine
  • Interactive geospatial mapping and visualization
  • Tutorials covering image analysis, machine learning, filtering
  • Integrated use of geemap, folium, ipyleaflet
  • Designed for browser or Colab execution
  • Samples mimic Earth Engine API documentation topics

Project Samples

Project Activity

See All Activity >

Categories

Libraries

License

MIT License

Follow earthengine-py-notebooks

earthengine-py-notebooks Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of earthengine-py-notebooks!

Additional Project Details

Programming Language

Python

Related Categories

Python Libraries

Registered

2026-02-17