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

Series: NextGen Geospatial: AI & Cloud tools for Geographic Analysis

Image
NextGen Geospatial

When

2 – 3 p.m., Oct. 29, 2024

As geospatial datasets proliferate across the web, they are often isolated, difficult to discover, and lack consistent metadata. To overcome these challenges many geospatial companies and government agencies are adopting the use of SpatioTemporal Asset Catalogs (STAC). STAC consists of a standard metadata format (geojson) for describing the spatial and temporal characteristics of geospatial data. It also consists of a standard API which makes it easier to programmatically access and use the data. Come learn how this technology works and help us build an open and global catalog of geospatial data!

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
WhereWeaver Science-Engineering Library, Rm 212 and on Zoom 
Instructor: Jeffrey Gillan
YouTube: See below for video links.

Workshop Materials

Contacts

Jeffrey Gillan