Earth Observation with Sentinel
Our planet is constantly changing. From deforestation and urban growth to shifting climate patterns, Earth observation gives us the tools to monitor and understand these changes over time. Satellites like Sentinel-1 and Sentinel-2, part of the European Copernicus Programme, provide valuable geospatial data that help us track these developments with precision.
In this course, you’ll learn how to turn that data into actionable information. You’ll work with Sentinel Hub, a powerful cloud platform developed by Sinergise that lets you access and process large volumes of satellite imagery—without the need for heavy downloads or complex local setups. This means you can focus on analysis, not infrastructure.
Even better, Sentinel Hub integrates easily with tools like QGIS and web-based mapping platforms. It supports standard web services and APIs, giving you fast, flexible access to the latest remote sensing data. Whether you’re working in environmental monitoring, agriculture, or spatial planning, you’ll learn how to turn raw satellite imagery into real insights.
If your work involves geospatial data, land use, or environmental issues, understanding how to work with satellite imagery is essential. This course doesn’t just explain how Earth observation works—it shows you how to use it in a clear, efficient, and practical way.
What will you learn in this blended learning course?
In this course, you’ll discover how to process Earth observation data using Sentinel Hub, entirely in the cloud. That means no complicated infrastructure—just quick, focused analysis.
To start, you’ll get a clear introduction to how the platform works. Then, you’ll learn how to connect Sentinel Hub to familiar tools like QGIS, ArcMap, and GeoServer. You’ll also explore how to write simple JavaScript scripts in the Sentinel Hub Configurator, giving you the power to create custom visualizations and data products for your field of work.
As you progress, you’ll also work with the OGC API to integrate Sentinel data into web applications like Google Maps, OpenLayers, or Leaflet. You’ll use real satellite data throughout the course, turning it into usable insights that you can immediately apply in your projects.
Through practical, hands-on exercises, you’ll gradually build strong skills in remote sensing and geospatial analysis. Whether you’re focused on environmental monitoring, agriculture, or urban development, the techniques you learn will be relevant—and ready to use.
Why choose this course on Earth observation with Sentinel?
Blended learning gives you the best of both worlds—live interaction and flexible self-paced study—so you can develop practical, job-ready skills in satellite image analysis. In this course, you’ll get hands-on with Sentinel data and cloud tools like Sentinel Hub to solve real geospatial challenges.
We begin with a live session where you’ll dive right into working with real Sentinel-2 imagery. With support from experienced GIS and remote sensing professionals, you’ll learn how to access, process, and analyze satellite data. From day one, you’ll apply your skills to tasks like tracking land use change or mapping environmental risks.
Next, our self-paced modules let you continue building your expertise at your own pace. You’ll explore key remote sensing concepts, get familiar with the Sentinel Hub interface, and practice connecting data to platforms like QGIS or GeoServer. You’ll also learn how to customize your outputs using simple scripting tools.
Then, in a second live session, you’ll bring everything together. You’ll take on a real-world analysis task, refine your workflow, and receive expert feedback as you build your own EO product from start to finish.
What makes this course stand out is its focus on practical, real-world use. You’ll work on case studies based on common challenges in fields like environmental monitoring, agriculture, and spatial planning. You won’t just practice workflows—you’ll create outputs that are relevant and ready to use.
By combining flexible study with expert-led support, this course goes beyond teaching tools—it shows you how to use them effectively. By the end, you’ll be ready to collect, analyze, and apply Sentinel data independently, helping you make smarter, data-driven decisions in your work.