What can you uncover using Landsat 8 and QGIS? In this one-on-one course, you’ll learn how to process, analyze, and apply satellite imagery for spatial analysis. You’ll discover how to download Landsat 8 data, classify it, and use it for raster analysis and professional map creation. With expert guidance, interactive online modules, and hands-on sessions, you’ll build practical skills to confidently work with satellite data.
Satellite image processing is becoming more precise and increasingly valuable in fields like weather forecasting, urban planning, environmental monitoring, and transportation analysis. More organizations are relying on satellite data to track environmental changes—a trend that’s only growing.
Landsat is the world’s longest-running satellite imagery program, developed by the U.S. Geological Survey (USGS) and NASA. Since 1972, it has captured millions of images used in agriculture, forestry, water management, and environmental research. Landsat 8, launched in 2013, delivers high-resolution imagery that helps professionals track changes on Earth with remarkable detail.
To work with this data, we use QGIS—a powerful, open-source Geographic Information System (GIS). QGIS lets you view, process, and analyze spatial data with a wide range of tools for image classification and map creation. It’s an essential tool for anyone working with geospatial data.
In this course, you’ll learn how to use Landsat 8 data in QGIS to perform geospatial analysis and create compelling visualizations. You’ll start by downloading and preparing satellite images so you can extract meaningful information.
You’ll also learn how to work with virtual rasters to speed up and simplify your analysis. The course covers raster editing, manual classification, and automated techniques—such as supervised and unsupervised classification—to detect land use patterns and environmental trends.
A key part of the course is turning your analysis into clear, visually impactful maps. You’ll learn how to design maps in QGIS that are easy to interpret and ready to share with stakeholders.
Through a mix of theory and real-world tasks, you’ll build the skills needed to confidently use Landsat 8 data in your GIS projects.
Blended learning gives you the best of both worlds—live support and self-paced learning—so you can build job-ready remote sensing skills with QGIS.
We start with a live session where you dive into Landsat 8 imagery. With help from GIS experts, you’ll download data, build virtual rasters, and start classifying satellite images.
Next, our self-paced modules guide you through the essentials. You’ll learn how to manage raster layers, apply classification techniques, and streamline analysis with virtual rasters. Each step turns raw data into useful insights.
Then, in a second live session, you’ll put your skills to the test. You’ll refine your classifications, create polished maps, and receive personalized feedback.
A standout feature of this course is its hands-on focus. You’ll create real-world outputs—like land cover maps and environmental change visualizations—that you can use for planning, research, or reporting.
By combining expert instruction with practical assignments, you’ll go beyond the basics. By the end, you’ll be ready to process satellite data, perform advanced raster analysis, and create maps that support smarter spatial decisions.
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.
