The future of terrain data

How machine learning is reshaping the way we model our planet

Machine learning is a powerful technology but it’s not a universal solution. Understanding its potential, limitations and effective applications is crucial.

Following on from Part 1: An introduction to machine learning, this webinar delves into the intersection of machine learning and terrain data, exploring how cutting-edge techniques are reshaping the way we analyze and utilize geographical information.

You will learn about the fundamentals of terrain data, the opportunities and challenges machine learning brings to the field and the importance of collaboration between machine learning practitioners and geographical experts. Focusing on Fathom’s innovative approach to terrain data enhancement, this session will explore how machine learning and artificial intelligence can provide the most accurate model of the Earth’s surface publicly available. 

In this webinar, our experts explore:

• The basics of terrain data covering types, challenges and applications
• The role of machine learning in terrain data, the opportunities and limitations
• The latest innovative approach to machine-learning-driven advancements in terrain modeling, including methodologies and evaluation principles
• Real-world applications for flood modeling, urban planning and more
• Emerging technologies and innovations in machine-learning techniques

This webinar is part of a three-part training series, accredited by CIWEM, exploring the transformative role of machine learning in flood modeling. It highlights how machine learning improves uncertainty management, enhances modeling accuracy and supports early decision-making for adaptation and resilience. Explore the other webinars in this series: 

• Part 1: An introduction to machine learning
• Part 3: Unlocking the power of global flood maps: Advancing flood and climate modeling with machine learning