Google Earth Engine Earth Observation
Google Earth Engine (GEE) is a powerful online platform that lets you analyze and visualize satellite imagery from around the world. It is widely used in Earth Observation to map changes on Earth, such as deforestation, flooding, or urbanization.
You get free access to vast amounts of open satellite data, and you work directly in your browser—so you don’t need to install anything. Even if you don’t have much experience with data or programming, you can easily get started. You use simple scripts in JavaScript or Python to gain valuable insights from geodata.
The results of your analyses are often highly visual, such as maps or time series. These are useful not only for researchers but also for policymakers and communication professionals. Earth Observation with GEE is practical, up-to-date, and immediately applicable in sectors such as the environment, agriculture, urban development, and water management.
You’ll work with real data that matters—and learn how to use technology to make better-informed decisions.
What will you learn in this Blended Learning course?
In this course, you’ll learn how to use satellite data to solve geospatial problems. With Google Earth Engine, you’ll analyze, visualize, and interpret large amounts of data about our planet.
You’ll discover how to prepare both raster and vector data for use. This includes cleaning up satellite images—such as removing clouds or shadows—or structuring geographic data like roads, rivers, and borders. This way, you’ll learn to extract reliable insights from complex data sources.
You’ll also learn how to apply GIS techniques within the platform. Using simple scripts in JavaScript or Python, you’ll process satellite imagery from sources like Sentinel or Landsat. You’ll create visual analyses that highlight changes in the landscape—such as deforestation, urbanization, or water scarcity.
Everything you learn is immediately applicable in practice. Whether you’re working on environmental issues, urban planning, or agricultural analysis—you’ll develop practical skills in geospatial analysis that are relevant to your field.
Why choose this Google Earth Engine Earth Observation course?
Blended learning combines independent online learning with hands-on, interactive sessions. This way, you gain both theoretical knowledge and practical experience with Google Earth Engine and geospatial data analysis. The online modules give you the freedom to learn at your own pace. They include interactive lessons on Earth observation, processing satellite data, and applying remote sensing techniques within GEE. You’ll learn how to import, prepare, and analyze geodata using JavaScript or Python. You’ll also discover how to transform this data into powerful visualizations that provide insights into spatial processes.
During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with current satellite datasets and receive personalized guidance from geo-ICT specialists. You’ll learn how to correctly process raster and vector data, apply GIS techniques in Google Earth Engine, and write scripts for large-scale spatial analyses. By practicing hands-on with realistic Earth Observation scenarios, you’ll develop practical workflows. These are essential for extracting reliable, up-to-date, and actionable information from geospatial data.
The combination of flexible online learning and hands-on training ensures that you not only learn how to work with Google Earth Engine but also how to use it effectively in real-world projects. After completing this course, you will be able to independently collect, analyze, and use geospatial data for spatial decision-making. This allows you to immediately add value in your field.