Update GDAL

In Update GDAL you'll learn how to use the command line and use GDAL from the command line for conversions of vector and raster data.

Update GDAL

In the fast-evolving world of geospatial technology, keeping your skills up to date is essential. GDAL (Geospatial Data Abstraction Library) is the backbone of countless GIS and remote sensing workflows. It powers data conversion, analysis, and visualization across platforms like QGIS, ArcGIS, and Python-based environments.

This Update GDAL course helps you stay ahead by exploring the latest enhancements, new drivers, and improved functionalities in recent GDAL releases. Whether you use GDAL via the command line, Python bindings, or as part of a larger GIS pipeline, this course ensures you understand what’s new—and how to apply it effectively in your daily work.

With each new version, GDAL continues to expand its capabilities: support for additional raster and vector formats, improved performance in parallel processing, and more efficient memory management for large datasets. In addition, updates often bring refinements to coordinate system handling, cloud data integration (like AWS S3 and Google Cloud Storage), and advanced features such as virtual file systems and on-the-fly reprojection.

At Geo-ICT, we believe that staying current with GDAL doesn’t just keep your workflows efficient—it opens new doors for innovation in data processing, automation, and interoperability.

What will you learn?

This course gives you a practical overview of what’s new in GDAL and how to use these improvements to optimize your work with geospatial data.

You’ll start with a review of the GDAL ecosystem and recent release history, learning how the library has evolved and which changes matter most for everyday GIS users and developers.

Next, you’ll dive into hands-on exercises covering:

  • New and updated drivers for raster and vector formats such as Cloud Optimized GeoTIFF, GeoPackage, and Parquet.
  • Improved cloud integration, including direct read/write access to cloud storage and virtual file systems.
  • Performance enhancements for multi-threaded processing, large datasets, and raster reprojection.
  • Advances in CRS management, including updates to PROJ integration and improved transformation accuracy.
  • Command-line and Python API updates, helping you streamline scripts and automate complex workflows.

You’ll also learn to diagnose compatibility issues, adjust workflows for deprecations, and take advantage of newly added features that simplify data preparation and analysis.

By the end of the course, you’ll have a clear understanding of how to leverage the newest GDAL capabilities in your own projects—whether you’re managing massive raster archives, integrating data pipelines, or developing custom geospatial applications.

Why choose this course?

The Update GDAL course from Geo-ICT is designed for GIS professionals, developers, and analysts who rely on GDAL for their spatial data workflows and want to stay current with the latest developments.

  • Learn directly from instructors with hands-on experience in geospatial data processing and GDAL-based automation.
  • Work with real-world datasets and practical exercises that demonstrate each new functionality in action.
  • Get post-course support and guidance to help you apply new GDAL features to your organization’s workflows.

With a focus on real-world use and expert instruction, this course is the perfect way to ensure your GDAL knowledge remains up to date—so you can work smarter, faster, and more effectively with spatial data.

Enroll

€475,- (VAT included)
  • Start: 2-hour online session
  • Self-study: Review course materials
  • End: 1-hour online session

You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

Learning Outcomes

  • Identify and apply new GDAL functionalities introduced in recent releases to improve raster and vector data processing.
  • Integrate updated GDAL tools into your workflows for faster, more efficient data conversion, reprojection, and analysis.
  • Use the latest cloud and virtual file system capabilities to work directly with remote geospatial data.
  • Troubleshoot compatibility and performance issues arising from GDAL updates and adapt scripts or processes accordingly.

More Information?

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.

FAQ's Update GDAL

This course is ideal for GIS professionals, data analysts, and developers who already use GDAL and want to stay current with the latest features and improvements.

Yes. A working knowledge of GDAL’s core commands or Python bindings is recommended. The course focuses on new and updated functionalities rather than basic concepts.

The course focuses on the most recent stable release of GDAL and highlights major changes from previous versions. Participants will also learn how to prepare for future updates.

Yes. You’ll receive all course materials, including example datasets, exercise scripts, and reference guides for the new GDAL features, so you can revisit and apply what you’ve learned anytime.