EO College announced the launch of a new online course: Introduction to Machine Learning for Earth Observation. This course is now available to the public, completely free of charge.
The EO College is a hub for digital learning content regarding Earth observation, remote sensing and related topics. The platform is designed as a repository for open educational resources and online courses.
This course was developed by the Technical University of Munich (TUM), the Helmholtz Zentrum Dresden Rossendorf, and the ITC of the University of Twente.
Why Take This Course?
Explore how Machine Learning (ML) is transforming Earth Observation (EO), with practical applications in environmental monitoring, disaster management, and more. Learn how to use ML techniques like image classification, object detection, and change detection for EO data.
Who Is This For?
- Beginners interested in ML for EO.
- Scientists & professionals in computer science or EO looking to advance their skills.
- Researchers & policymakers aiming to apply ML in environmental and climate studies.
Course Highlights:
- Core Machine Learning Concepts: Tailored specifically for the Earth observation field.
- Practical Applications: Learn how machine learning can be used for image classification, object detection, and change detection in Earth observation data.
- Hands-on Tutorials: Utilize Python and TensorFlow to complete real-world Earth observation tasks.
- Interactive Learning: The course offers a mix of video tutorials, practical exercises, and engaging content designed for learners to progress at their own pace.
Whether you're a beginner interested in the growing field of machine learning or a seasoned professional looking to expand your knowledge, this course provides valuable insights and practical tools. It's a perfect opportunity for anyone working in or curious about the intersection of AI and Earth observation.
The course is designed to be highly accessible, making it easier than ever to apply machine learning techniques in your daily work, whether you're focused on environmental monitoring, disaster management, or research.
Click here to register for the course!
