SatSummit 2024
Picture of Caitlin Adams, PhD

Caitlin Adams, PhD

Senior Data Scientist at FrontierSI. She/Her.


As a Senior Data Scientist at FrontierSI, Caitlin is at the forefront of applying analytic techniques to a variety of complex problems. Her work involves identifying the right technical approach to new problems and building the software to implement solutions. Caitlin completed a Bachelor of Science with Honours (majoring in Physics) at the University of Queensland in 2014, followed by a Doctor of Philosophy in Astrophysics at Swinburne University of Technology, which she completed in 2019. Caitlin has five years of experience in Earth observation and geospatial analytics, specialising in applying machine learning to satellite imagery. Caitlin is highly focused on effective and clear communication, relishing the challenge of communicating highly technical work to others using plain language and clever visuals.

On the agenda

  1. Cloud Native Tutorial & Workshop

    May. 16, 03:00pm
    The Central Hub

    Overview: The cloud native geospatial paradigm has the potential to make Earth observation analysis accessible to more people, more easily. In the simplest terms, instead of downloading data before performing an analysis, it’s now possible to stream data directly from the cloud.

    This workshop will explore this new capability using hands-on practical exercises, introducing participants to the incredible global datasets available online and an opinionated suite of tools that can be used to access them. At the end of the workshop, participants will have gained insight into how this cloud-native geospatial paradigm can simplify working with Earth observation data, along with practical examples to assist in implementing learnings going forward. The workshop will include a real-world use case documenting land productivity metrics, which are used as part of monitoring for the UN sustainable Development Goal indicators for 15.3.1. We’ll explore this metric using NASA’s Harmonized Landsat and Sentinel data accessed through Earthdata.

    The workshop will be run as part of SatSummit in Washington, D.C. on the 16th and 17th of May, 2024. If you’re already attending SatSummit, please let us know you’re interested in attending the workshop by completing this form. If you'd like to attend the workshop independently of the broader event, you can purchase a Cloud Native EO Training Only ticket.

    Requirements: This is an introductory workshop, but some experience with programming languages like Python will be helpful. If you have significant experience working with large volumes of Earth observation data, but haven’t worked with cloud native technologies like Cloud Optimised GeoTIFFs indexed in a Spatio-Temporal Asset Catalog, there are likely some techniques that will be covered that are useful.

    We’ll provide a small hosted development environment, and an Internet connection, so you only need to bring a laptop along. If you have a way of working with Jupyter Notebooks that you like, you can run the workshop in your environment. Key Python libraries we’ll be using include Xarray, Geopandas, PySTAC Client, ODC STAC and ODC Geo.


    1. Alex Leith


    1. David Borges
    2. Jed Sundwall
    3. Caitlin Adams, PhD

View all speakers



  1. NASA Lifelines


  1. Element84

  2. Esri

  3. Impact Observatory

  4. United States Agency for International Development (USAID)