What is orthorectification?
Aerial photos are a rich source of spatial information. However, to make them useful for mapping and analysis, they first need to be geometrically corrected—a process known as orthorectification.
Distortion often occurs because aerial images are captured using the pinhole camera model, where all light passes through a single point. This can cause objects to appear skewed or misaligned. Add terrain elevation into the mix, and the scale of the image changes across different areas. That’s why standard GIS corrections—like first, second, or third-order polynomial transformations—usually aren’t enough.
To orthorectify aerial imagery properly, you’ll need:
- The focal length of the camera used
- A digital elevation model (DTM for orthorectification; DSM for true ortho imagery)
- Coordinates of fixed camera positions (especially for older photos)
- Ground control points (GCPs): clearly visible features with known X, Y, and elevation values
With these inputs, you can align, correct, and georeference the image with high precision. The result? A scale-accurate, reliable dataset you can confidently use in your GIS projects. That’s why orthorectification is a key skill in any geospatial workflow.
What will you learn in this blended learning course?
This course shows you how to turn aerial images into high-quality, GIS-ready maps. You’ll start with the basics of photogrammetry—learning how to extract spatial information from standard aerial photography. Then, you’ll move on to correcting image distortion using ground control points and elevation models.
You’ll use the Orthophoto.io platform to process your data. You’ll learn how to set up your account, upload imagery, and configure processing parameters. Step by step, you’ll add GCPs with known coordinates and run the orthorectification process.
Quality control is a big part of the training. You’ll learn how to check whether your final image is geometrically correct and properly aligned—ensuring your data is ready for spatial analysis and map integration.
Why choose this orthorectification course?
Blended learning gives you the best of both worlds—live interaction and flexible self-paced study—so you build both theory and hands-on skills in orthorectification and aerial photo analysis.
We begin with a live session where you’ll jump straight into correcting real aerial imagery. With expert guidance, you’ll identify distortions, set key parameters, and use Orthophoto.io to align and georeference your photos.
Next, the self-paced modules let you explore core topics in more depth. You’ll work through lessons on photogrammetry, terrain models, and GCP management. Along the way, you’ll practice prepping your data, entering coordinates, and verifying the accuracy of your results.
In a second live session, you’ll put your knowledge into practice. You’ll troubleshoot workflows, refine your results, and get personalized feedback to improve your outputs.
A key feature of the course is its real-world application. You’ll produce usable outputs—like corrected, georeferenced images—that integrate directly into GIS workflows for infrastructure planning, spatial analysis, or environmental studies.
By combining expert instruction with flexible learning, this course goes beyond the basics. By the end, you’ll have the skills and confidence to process aerial imagery, perform accurate corrections, and support smarter, data-driven decisions in your field.