Earth Observation SentinelÂ
The Earth is constantly changing. Think of deforestation, urbanization, or climate change—processes that we are increasingly able to map thanks to Earth observation. Using satellites such as Sentinel-1 and Sentinel-2, we collect valuable geodata that allows us to visualize and understand changes on Earth. These satellites are part of the European Copernicus program, which focuses on continuously monitoring our planet.
In this course, you’ll learn how to convert such satellite data into practical, actionable information. You’ll work with Sentinel Hub, a cloud platform developed by Sinergise, specifically designed for the fast and efficient processing of large amounts of satellite data. Thanks to this approach, you won’t need to download heavy files or use complicated systems—you can focus on the analysis.
Sentinel Hub makes it easy to integrate satellite imagery into tools such as QGIS or web-based maps. The platform supports standard web services and APIs, giving you fast and flexible access to up-to-date remote sensing data. This allows you to apply this information in numerous fields, such as environmental analysis, agricultural monitoring, or spatial planning.
Do you work with environmental data, spatial issues, or land use? Then knowledge of satellite imagery and Earth observation is indispensable. This blended learning course helps you not only understand how it works, but above all how to apply it concretely in your daily practice—in a way that is understandable, efficient, and immediately applicable.
What will you learn in this Blended Learning course?
In this course, you’ll learn how to quickly and efficiently process Earth observation data using the Sentinel Hub platform, entirely in the cloud. This allows you to get started right away on creating your own Earth Observation products without technical hassle, focusing entirely on the content rather than the data infrastructure.
You’ll start with a clear explanation of how Sentinel Hub works. Then you’ll discover how to integrate the platform with popular software such as QGIS, ArcMap, and GeoServer. You’ll also learn how to use simple JavaScript scripts to create customized observation products tailored to your field of work. In addition, you’ll work with Sentinel Hub’s OGC API and learn how to integrate the platform with maps in, for example, Google Maps, OpenLayers, or Leaflet.
During the course, you’ll work with real satellite data, which you’ll immediately convert into actionable insights. This way, you’ll build practical skills step by step in working with geodata and remote sensing, which you can immediately apply in projects related to the environment, spatial planning, or agriculture.
Why choose this Earth Observation Sentinel course?
Blended learning combines independent online learning with hands-on, interactive sessions, so you gain both theoretical knowledge and practical experience with Earth observation and the analysis of satellite data. The online modules give you the flexibility to learn at your own pace and include interactive lessons on using Sentinel data, remote sensing techniques, and processing satellite imagery via Sentinel Hub—a powerful cloud platform for geodata analysis.
During the hands-on sessions, you’ll immediately apply your knowledge. You’ll work with current satellite imagery from sources such as Sentinel-2, guided by specialists in GIS and remote sensing. You’ll learn how to correctly retrieve, process, and use this imagery for real-world applications, such as tracking changes in land use or mapping environmental issues. By getting started right away with real geodata, you’ll develop working methods that are reliable and remain applicable in a wide range of situations.
Thanks to the combination of flexible online learning and hands-on support, you’ll not only learn to work with Sentinel Hub and its associated tools, but also discover how to apply them in real-world Earth Observation projects. Upon completion, you’ll be able to independently collect, analyze, and apply satellite data, enabling you to make better-informed spatial decisions in your field.