Total study time: 24 hours
How can you turn satellite imagery into clear, actionable insights? In this 1-on-1 course, you’ll learn how to process and analyze Sentinel-2 data using SNAP—so you can confidently visualize landscape changes and map land cover. With personal guidance, interactive online modules, and hands-on assignments, you’ll build the skills to work with satellite data step by step and make the most of SNAP’s powerful features.
Satellite images give us a powerful way to see and understand changes on Earth. From agriculture and nature management to city planning—this data is being used more than ever in real-world projects. And thanks to freely available imagery from satellites like Sentinel-2, it’s now easier than ever to access and use.
But to really unlock the value of these images, you need the right tools.
That’s where SNAP (Sentinel Application Platform) comes in. Developed by the European Space Agency (ESA), SNAP is a free and powerful tool that helps you process and analyze satellite data. You can create colorful image composites (RGB) to spot surface features, correct atmospheric distortions with the Sen2Cor plugin, and even calculate vegetation or water indices like NDVI and NDWI.
Want to go further? SNAP also supports more advanced techniques like Random Forest classification and Principal Component Analysis (PCA)—perfect for simplifying big datasets and turning them into meaningful insights.
Whether you’re working on land cover maps, environmental reports, or spatial analysis projects, SNAP gives you everything you need to get started with satellite imagery.
In this online, hands-on course, you’ll discover how to turn raw satellite data into useful insights for real-world applications. You’ll work with actual Sentinel-2 imagery from 2016, focusing on Hungary’s Tisza-Tó region—a great case for exploring land cover change.
We’ll kick things off in a live online session where you’ll learn how to download and open multispectral images in SNAP. You’ll build RGB composites to identify key landscape features and apply Sen2Cor to clean and prepare the data.
Next, through self-paced online modules, you’ll dive into spectral indices like NDVI (for vegetation) and NDWI (for water), helping you highlight important patterns in the imagery. You’ll also explore classification techniques such as K-means clustering and Random Forest to automatically group land cover types.
To wrap up, you’ll apply Principal Component Analysis (PCA) to simplify large datasets and extract meaningful insights.
This course blends guided live sessions with flexible online learning. It’s ideal for both beginners and professionals who want to build real-world skills in satellite data analysis and remote sensing.
Blended learning gives you the best of both worlds: interactive live sessions and flexible, self-paced modules. You’ll build skills step-by-step, backed by expert guidance and realistic assignments using real-world satellite data.
We start with a live session where you’ll jump right in—exploring satellite images from the Tisza-Tó region with support from geo-information specialists. You’ll practice creating image composites, correcting data, and preparing it for analysis.
Then, through self-paced modules, you’ll explore core techniques like NDVI and NDWI, learn to classify land features, and apply PCA to large datasets. Each module includes clear, hands-on exercises so you can apply what you’ve learned right away.
Later in the course, a second live session brings it all together. You’ll tackle a complete case study, refine your approach, troubleshoot challenges, and get personal feedback as you create maps and reports based on your analysis.
What makes this course stand out is its realistic, case-based workflow. You’ll be doing the same kind of work that professionals in environmental monitoring and land use planning do every day.
By the end, you won’t just understand satellite data—you’ll know how to use it to make smart, informed decisions in your field.
After completing this course, you’ll be able to:
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.