Total study time: 24 hours
What can satellite data reveal with Google Earth Engine? In this one-on-one, fully online course, you’ll learn how to uncover hidden patterns and spatial trends using powerful maps and smart analyses. With personalized guidance, hands-on assignments, and flexible online modules, you’ll discover how to turn geospatial data into insights that truly matter.
Google Earth Engine (GEE) is a powerful cloud-based platform for analyzing and visualizing satellite imagery from around the world. It’s widely used in the field of Earth observation to detect both environmental and human-driven changes—such as deforestation, flooding, or urban growth.
You get free access to vast archives of open satellite data and can start working right in your browser—no downloads or installations required. Even if you’re new to data or programming, GEE is easy to get started with. Using simple scripts in JavaScript or Python, you’ll learn to extract meaningful insights from complex spatial data.
Your results are often highly visual—maps, time series, and change detection outputs—that are useful not just for researchers, but also for policymakers, urban planners, and communication teams. Earth observation with GEE is practical, current, and applicable across sectors like environmental management, agriculture, city planning, and water systems.
Throughout the course, you’ll work with real-world data and discover how to use technology to make better, evidence-based decisions.
In this course, you’ll explore how to use satellite data to solve real geospatial challenges. With Google Earth Engine, you’ll analyze, visualize, and interpret large-scale datasets from around the globe.
To start, you’ll learn how to prepare raster and vector data for analysis. That includes tasks like removing clouds or shadows from satellite images and organizing geographic features such as roads, rivers, or boundaries. These foundational skills will help you get reliable results from complex data sources.
You’ll also apply GIS techniques directly in GEE. With simple scripting in JavaScript or Python, you’ll process imagery from platforms like Sentinel or Landsat. You’ll then use that data to visualize changes in the landscape—whether it’s deforestation, expanding cities, or shrinking water bodies.
Everything you learn is practical and designed for real-world application. Whether you work in environmental monitoring, urban development, or agricultural planning, you’ll gain skills that immediately support your work.
Blended learning gives you the best of both worlds—live expert support and the flexibility to study at your own pace. You’ll build real, hands-on experience with Google Earth Engine while developing job-ready skills in satellite data analysis.
We kick off with a live virtual session where you’ll dive straight into real datasets. With expert guidance, you’ll learn how to clean and process satellite imagery and generate visual insights using JavaScript or Python in GEE.
After that, you’ll move through self-paced modules that cover key topics like remote sensing, data preparation, and spatial change detection. Along the way, you’ll create visual products—like time series and land cover maps—that showcase your analysis.
Later, in a second live session, you’ll put your new skills to the test. You’ll tackle real case studies, build automated workflows, and get expert feedback to help you refine your techniques.
One of the most valuable parts of the course is its case-based structure. You’ll create practical outputs—such as deforestation maps or land use change analyses—that you can apply directly in your own projects.
By combining flexible online learning with interactive, expert-led training, this course gives you more than just technical know-how. You’ll gain the confidence and capability to use GEE for real-world Earth observation tasks—and support smarter, faster decision-making in your field.
After completing this course, you will be able to:
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.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.