Multispectral Observation Sentinel
Multispectral observation is a technique in which images of the Earth’s surface are captured across multiple, specific parts of the light spectrum. This includes visible light, as well as infrared and near-infrared. These images are typically collected via satellites, such as the Sentinel-2 from the European Copernicus program.
What makes this technique unique is that each type of surface—such as water, vegetation, or urban areas—reflects light in a unique way across different spectral bands. By analyzing these variations, you can identify hidden patterns. For example, you can monitor crop health, estimate soil moisture, or detect changes in land use.
The Sentinel satellites continuously provide detailed and reliable data over large areas. This makes them indispensable for anyone working with geodata, such as in environmental management, agriculture, urban planning, or GIS projects.
In this course, you’ll not only learn what multispectral observation entails, but more importantly, how to apply this technology in practice. You’ll gain insight into image processing, learn to work with real datasets, and develop skills that allow you to perform advanced analyses.
What will you learn in this Blended Learning course?
In this course, you’ll discover how to build your own Earth observation applications using Sentinel-2 satellite imagery. You’ll learn how multispectral data works and how to use it to reveal environmental information that isn’t visible to the naked eye. Think of analyzing vegetation health, mapping wildfires, or detecting changes in land use. You’ll also learn how to measure chlorophyll levels using Sentinel-2’s coastal bands.
An important part of the course is working with the Graph Builder module. This allows you to build visual workflows that make the satellite image processing process clear and manageable. You’ll have access to sample files and practice materials, including real Sentinel-2 images, so you can apply everything directly on your own computer.
In addition, you’ll delve into image processing techniques, such as atmospheric corrections and preparing data for analysis. You’ll learn how to convert raw images into actionable insights and how to apply those insights within geoinformation projects. By the end of the course, you’ll be able to work independently with Sentinel-2 data and will have the skills to create powerful, visually supported analyses.
Why choose this Multispectral Observation Sentinel course?
Blended learning combines independent online learning with hands-on, interactive sessions, allowing you to gain both theoretical knowledge and practical experience with multispectral image processing and Sentinel-2 data analysis. The online modules give you the freedom to learn at your own pace. They include interactive lessons on remote sensing, image interpretation, and building workflows for applications such as vegetation mapping and fire area analysis. You’ll discover how to use the Graph Builder to set up structured processing workflows and how to work with Sentinel-2 images to extract clear insights from geodata.
During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with real satellite imagery and receive guidance from specialists in geoinformation. You’ll learn how to prepare imagery, perform atmospheric corrections, and use spectral indices such as NDVI to analyze changes in the landscape. By working hands-on with sample workflows and geodata, you’ll develop a keen understanding of how to apply Earth observation in practical, real-world scenarios.
The combination of flexible online learning and hands-on training ensures that you not only learn to work with Sentinel-2 data and image processing methods, but also how to effectively apply them to real-world geoinformation applications. After this course, you will be able to independently analyze satellite imagery and translate it into actionable insights, enabling you to make better-informed spatial decisions in your work or studies.