11-05, 13:30–17:00 (Australia/Hobart), Social Sciences 312, University of Tasmania
Learn about how to work with Earth observation data more easily through hands-on activities using Python.
The advent of cloud computing has revolutionised the capabilities of researchers and professionals globally, helping them to access and analyse Earth observation (EO) data more easily than ever. Despite the well-understood tools and technologies, such as cloud-optimised GeoTIFFs and the spatio-temporal asset catalog (STAC) specification, many EO professionals have not yet had the opportunity to practically apply these innovations. This workshop aims to bridge that gap by showcasing how cloud-native geospatial technologies simplify the process of working with EO data, using Python as the primary programming language.
Participants will delve into a real-world case study focused on documenting land productivity metrics, a crucial component for monitoring the UN Sustainable Development Goal (SDG) indicators for 15.3.1. The workshop will utilise NASA’s Harmonized Landsat and Sentinel data, accessed through Earthdata, to explore the land productivity metric in depth.
Our workshop hosts, Caitlin Adams and Alex Leith, bring extensive experience from their work on large-scale cloud-native programs such as Digital Earth Africa, Digital Earth Australia, and the recently launched Digital Earth Pacific. These projects leverage petabytes of data to create valuable information products that inform decision-making processes across countries and continents.
Throughout the workshop, participants will gain hands-on experience and insights into how cloud-native geospatial technologies have significantly enhanced the ability to manage and analyse large volumes of EO data. By the end of the session, attendees will have acquired practical examples and knowledge to further develop their skills in this innovative field.
This tutorial is supported by the CEOS Systems Engineering Office and aims to equip participants with the tools and techniques necessary to harness the full potential of cloud-native geospatial technologies in their work.
Alex is an open geospatial technologist specializing in software development, cloud infrastructure and program governance with an emphasis on Earth observation data.
As Executive Director at Auspatious, Alex focuses on making data more accessible and works to support informed decision-making and promote sustainable development.
Alex also volunteers as a Non-Executive Board Director at OSGeo Oceania and Earth Observation Australia and performs the role of Treasurer at Earth Observation Australia. In his free time, he enjoys exploring the wilderness with his children and sampling a great craft beer.
Caitlin works at Geoscience Australia where she specialises in the application of machine learning to Earth observation datasets. She has been internationally recognised as a leading woman in machine learning for Earth observation, contributing to projects around the world. Caitlin is a passionate educator and communicator, and her mission is to teach others how to work effectively with data.