Geospatial analysis is the practice of working with data linked to specific locations on Earth. In essence, it helps us uncover patterns, trends, and relationships that are often hidden in raw numbers. Thanks to the explosion of satellite imagery and environmental data, this field has become essential for understanding and addressing today’s biggest challenges — such as climate change, urban sprawl, deforestation, and pollution.
One of the most effective tools for geospatial analysis is Google Earth Engine. It gives users access to a massive archive of Earth observation data from sources like Landsat, Sentinel, and MODIS. Because it’s cloud-based, Earth Engine can handle large-scale analyses quickly — without the need for powerful local computers or complicated setups.
Moreover, GEE isn’t just for processing data — it’s also a platform for building interactive, visual tools. When paired with modern web technologies like JavaScript, it allows you to turn raw datasets into meaningful stories. For example, you can create animations, time series maps, and web apps that help users visualize change, explore trends, and take informed action. As a result, these tools become valuable not only for scientists, but also for educators, policy makers, and communicators who need to share insights in engaging, accessible ways.
In this course, you’ll learn how to use Earth Engine to build these kinds of applications. Specifically, you’ll track changes in vegetation, map environmental indicators, and create interactive web tools that help translate data into decisions. Ultimately, it’s more than just a technical skill — it’s a way to tell stories that matter.
Before taking this course, make sure you’ve completed the Google Earth Engine Basics course—it’s essential for getting the most out of the training.
What will you learn
This course gives you a practical, step-by-step introduction to building interactive geospatial applications with Google Earth Engine. You’ll combine data processing, visualization, and app design to create tools that serve real-world environmental and educational purposes.
You’ll start by learning how to explore Earth Engine’s cloud-based platform and search for relevant satellite datasets. Working with both historical and real-time imagery, you’ll learn how to process and visualize data clearly and meaningfully.
Next, you’ll dive into time series and animated maps—key techniques for showing how environmental conditions change over time. Whether you’re illustrating long-term forest loss or seasonal vegetation shifts, you’ll learn how to present trends in ways that are both informative and visually engaging.
After that, the focus shifts to app development. Through hands-on practice, you’ll start designing user interfaces with Earth Engine’s JavaScript API. Along the way, you’ll integrate interactive elements like sliders, buttons, and map layers, while learning how to structure your code for responsive, browser-based performance. You’ll also explore layout design and best practices to make sure your apps are intuitive, functional, and genuinely useful to your users.
By the end of the course, you’ll have built your own fully functional Google Earth Engine application—ready to customize, scale, or share for educational, research, or public engagement purposes.
Why choose this course
At Geo-ICT, we believe in teaching skills the way they’re used in the real world. This course isn’t about watching lectures—it’s about building tools that solve problems.
Here’s why learners choose this course:
- You’ll learn by doing—working with real data and building a complete GEE application from start to finish
- It connects geospatial tools to real environmental challenges, like deforestation and air quality monitoring
- It’s accessible to anyone with basic GEE experience—no advanced coding required
- The skills you gain are relevant across sectors, including conservation, planning, education, and sustainability
Whether you’re just starting with Earth Engine or looking to take your skills further, this course gives you the confidence and ability to apply geospatial technology in meaningful ways.