This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and their impact on the dynamic of cities.
It is a chance to learn from experts in these fields and engage in discussions with fellow attendees. Each seminar will feature presentations and discussions, offering insights into how data science is impacting our understanding of cities, the ins and outs of urban planning, and the complexities of urban networks.
Whether you’re a professional in these fields, a student looking to expand your knowledge, or just someone curious about the dynamics of cities, the CASA Seminar Series is a great opportunity to gain insights and connect with others who share your interests.
This talk by Gennadii Donchyts provides a walkthrough over some applications and best practices for utilising Google Earth Engine (GEE) in geospatial analysis. GEE offers a powerful cloud-based platform for processing vast geospatial datasets and conducting complex analyses, but effectively harnessing its capabilities requires understanding key strategies and techniques. We will cover topics such as: effective exploration of image collections, sampling and conditioning when working with noisy optical and radar satellite imagery at scale, how to use advanced AI models with GEE, and a few more to leverage GEE for advanced geospatial research.