Intro to Google Earth Engine for Planetary-Scale Environmental

Join us as we introduce Google Earth Engine, a revolutionary cloud-based platform for planetary-scale environmental data analysis. This workshop will show you how to access the platform, the basics of how to navigate the software, and tips for leveraging the massive data catalog. We will show you code examples, app examples, and point you to resources on how to learn more about the powerful tool. This is a must-know tool for geospatial data analysts!

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: Links will be added after the workshops have been presented.

Workshop Materials

• 09/03  Intro to CyVerse Geospatial: Tap into the cloud to enhance your geospatial research 

• 09/10  Intro to Google Earth Engine for  Planetary-Scale Geospatial Analysis  

• 09/17  Deep Learning for Aerial Imagery: DeepForest: Automate tree detection with Pytorch  

• 09/24  Deep Learning for Aerial Imagery: Detecto-automate the detection of any object with Pytorch 

• 10/01  Cloud Native Geospatial: Cloud Optimized Geotiffs (COGs): Geospatial Raster Analysis Designed for the Web 

• 10/08  Cloud Native Geospatial: Cloud Optimized Point Clouds (COPC):  Geospatial Point Cloud Analysis designed for the Web 

• 10/15  Reproducible geospatial analysis pipelines using containers:  Create a scripted analysis and share it with the world 

• 10/22  Intro to APIs for Geospatial Data:  Scale and Automate your Data Retrieval and Analysis 

• 10/29  Learn about SpatioTemporal Asset Catalogs (STAC):Let's Build a Global Data Catalog!