Series: NextGen Geospatial: AI & Cloud tools for Geographic Analysis
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As geospatial datasets proliferate and expand in size, the distribution model of downloading all data to your local machine is starting to break down. Come learn about Cloud-Native geospatial formats that empower us to stream data across the web. Whether you want analyze heavy data or share your data with the world, understanding cloud-native concepts will up your geospatial data skills. This session will introduce cloud optimized geotiffs (COGs) and provide you with python code to get started.
This session is part of the NextGen Geospatial workshop series that teaches cutting-edge topics around GIS and remote sensing. Each workshop session is designed to be a discrete lesson where students will walk away with specific knowledge on a tool and resources to explore deeper. Our goal is to demystify vocabulary and show you how to use these tools with straight forward examples.
We welcome students and professionals from any field that are interested in expanding their geospatial skillset. A variety of skill levels are also welcome, though each lesson will assume the audience has limited experience on the topic. Basic knowledge of scripting languages (mostly python) and some prior geospatial experience will be helpful. Some of the lessons will include gentle live coding, but the focus will be on the big picture of what the code is doing. Jupyter notebooks with pre-written python code will be provided for these lessons.
SERIES: NextGen Geospatial: AI & Cloud tools for Geographic Analysis:
When: Tuesdays, 2:00 - 3:00 PM, Sep 3 - Oct 29, 2024
Where: Weaver Science-Engineering Library, Rm 212 and on Zoom
Instructor: Jeffrey Gillan
YouTube: See below for video links.
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