Network Spectral Unmixing

Total study time: 24 hours

How can you uncover more from your geospatial data using Network Spectral Unmixing? In this one-on-one blended learning course, you’ll dive into the science of spectral unmixing and discover how to break down complex hyperspectral imagery for deeper, more accurate insights. With personal guidance and hands-on assignments, you’ll apply powerful techniques right away to sharpen your spatial analysis skills.

What is Network Spectral Unmixing?

Network Spectral Unmixing (NSU) is a powerful technique that helps you extract detailed information from geospatial data. It works by separating spectral signals from mixed pixels to identify the individual materials or surfaces present—like vegetation, water, or urban areas.

By combining advanced analytics with network-based models, NSU enhances the clarity of spectral signals while reducing background noise. This results in cleaner, more reliable data—perfect for remote sensing, environmental monitoring, land use classification, and more.

Even when materials look similar on the surface, NSU allows you to detect subtle differences. That’s why it’s a valuable tool in applications ranging from ecosystem monitoring to urban planning.

What will you learn in this blended learning course?

This course offers a comprehensive introduction to Network Spectral Unmixing—beginning with the fundamentals and progressing to advanced workflows. Along the way, you’ll explore the Network-Based Method (NBM), a powerful approach that enhances the accuracy of spectral analysis.

Through hands-on practice, you’ll learn to:

  • Break down hyperspectral data using endmember extraction
  • Reduce errors in abundance estimation
  • Select the appropriate NBM variant—unconstrained, sum-to-one constrained, or fully constrained

In addition, you’ll evaluate your results using both synthetic and real-world datasets to understand how these techniques perform in practice.

By the end of the course, you’ll confidently interpret hyperspectral data and apply your knowledge to real geospatial analysis projects.

Why choose this Network Spectral Unmixing course?

Blended learning gives you the best of both worlds—live interaction and flexible, self-paced study—so you can build job-ready skills on your own schedule.

We begin with a live session where you’ll get hands-on with real hyperspectral datasets. With expert support, you’ll dive into endmember identification, abundance estimation, and the practical use of NBM techniques.

Then, through our online modules, you’ll explore key topics at your own pace. You’ll study spectral signal breakdown, noise reduction, and method evaluation. Along the way, you’ll practice applying different unmixing models to improve your accuracy.

Later, in a second live session, you’ll apply what you’ve learned in a real-world scenario. You’ll refine your workflow, solve analysis challenges, and get one-on-one feedback from instructors.

A highlight of the course is its case-based format. You’ll create useful outputs—like classification maps and endmember reports—that you can apply directly in your research or job.

By combining expert-led training with practical tasks, this course goes beyond theory. You’ll finish with the skills and confidence to use NSU in your work and make smarter, data-driven decisions.

Sign up for this
Blended Learning

    Price: €395 (excl. VAT)



    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

    After completing this course, you’ll be able to:

    • Apply Network Spectral Unmixing techniques for accurate spectral analysis
    • Process hyperspectral images and extract meaningful endmembers
    • Choose and apply the right NBM method for your dataset
    • Reduce abundance estimation errors and improve analysis accuracy
    • Perform practical spectral analysis to support informed decisions

    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.

    Frequently Asked Questions

    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.