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Google Earth Engine Basics

Learn how to get started with Google Earth Engine (GEE)—a cloud-based platform built for large-scale satellite data analysis and geospatial processing. In this practical, hands-on course, you’ll build foundational skills for working with satellite imagery, performing spatial analyses, and visualizing results using JavaScript and GEE’s powerful data catalog. Whether you’re completely new to geo-information or looking to boost your technical skills, this course gives you the tools to unlock the full potential of Earth Engine.

Google Earth Engine Basics – Blended Learning

Google Earth Engine (GEE) is a cloud-based platform that makes it easy to analyze and visualize geospatial data. With access to a vast library of satellite imagery and spatial datasets, you can track environmental change, monitor land use, and run advanced analyses—without the need for powerful local hardware. Its built-in cloud computing allows you to process large datasets and perform tasks ranging from time-series analysis to machine learning classification.

GEE is widely used in fields like environmental monitoring, agriculture, and urban planning. From mapping deforestation and tracking water resources to monitoring crop health and planning sustainable cities, Earth Engine is a tool trusted by researchers, policymakers, and businesses worldwide.

What will you learn in this blended learning course?

This Google Earth Engine Basics course introduces you to the core functions of GEE and shows you how to turn satellite data into practical insights. You’ll gain hands-on experience in:

  • Accessing and visualizing satellite imagery

  • Detecting land use and environmental changes

  • Applying basic remote sensing techniques such as NDVI

  • Running introductory machine learning tools like classification

  • Automating workflows with GEE scripting

Assignments are based on real-world case studies in environmental science, agriculture, and urban planning, so you immediately see how your skills apply in practice.

Why choose this blended learning format?

Blended learning gives you both live interaction and self-paced flexibility, helping you build job-ready skills step by step:

  1. Live kick-off session – Work directly with real datasets, guided by expert instructors, and learn the basics of processing and visualizing spatial data.

  2. Self-paced modules – Dive deeper into topics like remote sensing, change detection, and automation at your own pace.

  3. Final live session – Apply your new skills to case studies, get feedback, and refine your approach to real analysis problems.

By the end of the course, you’ll be able to confidently work with satellite data in Google Earth Engine, process and visualize spatial patterns, and start building automated workflows.

Enroll in Blended Learning

    Price: €395 (excl. VAT)



    Start:
     2-hour online session


    Self-study:
     Review course materials


    End:
     1-hour online session



    You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

    Learning Outcomes

    • Work with Earth Engine’s Code Editor to access, explore, and filter satellite datasets
    • Understand and use JavaScript to write, run, and debug basic geospatial analyses
    • Apply spectral band combinations for interpreting land use, vegetation, and water features
    • Create clear, accurate visualizations using true color, false color, and cloud-free composites
    • Troubleshoot common coding issues and use GEE’s documentation and community resources
    • Recognize the advantages of GEE over other platforms, including its scalability, speed, and accessibility

    • Result: You’ll finish with a strong foundation in Google Earth Engine and the ability to transform raw geospatial data into clear, actionable insights—ready to apply in your own work.

    More Information?

    Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.

    In this course, you will learn to use the cloud-based platform Google Earth Engine for spatial analyses and visualizations, with a focus on JavaScript and Python.

    Yes, the course is designed for both beginners and experienced professionals who want to expand their skills in geo-software and techniques.

    Yes, upon successful completion, you will receive a certificate of participation from the Geo-ICT Training Center, recognized by the Dutch Council for Training and Education (NRTO).

    This course provides a solid foundation and is a valuable step in your career in the geospatial sector, both for beginners and experienced professionals.

    Basic programming knowledge is recommended but not required. The course is accessible to a wide audience.

    You will learn to work efficiently with Google Earth Engine, navigate the database, troubleshoot script errors, and identify the strengths of GEE compared to other software.