A session proposed by the GeoJupyter community has been accepted for AGU 2025 as IN029:
Open Source Geospatial Workflows in the Cloud: Tools and Techniques for Data Access, Analysis, Visualization, Storytelling, and Sharing in the Python and Jupyter ecosystem
Open and fluid interoperability is increasingly crucial as geospatial data, from Earth system models to in-situ and remote observations, grow in size and complexity. This interoperability is both more challenging and impactful when workflows combine local and cloud platform resources. A growing ecosystem of science, education, and industry is emerging that shares open source tools and standards to democratize and facilitate access to data and compute. This session invites practitioners and developers exploring approaches to improve accessibility, usability, and capabilities of open source geospatial software, focusing on lowering technical barriers. By acknowledging both strengths and limitations of available tools, we aim to facilitate open conversations about what’s working, what’s missing, and what’s next. We seek to convene tool builders and users to chart a more inclusive, community-driven path forward for open geospatial science, fostering better understanding of our world through enhanced access to data and computational resources.
We’re excited to hear what you have to say at our session!
See you in New Orleans! 🚀
Invited speakers¶
Invited Speaker - Fernando Pérez
Dr. Fernando Pérez is an Associate Professor in Statistics at UC Berkeley and scientist at LBNL. He builds open source tools for humans to use computers as companions in thinking and collaboration, mostly in the scientific Python ecosystem (IPython, Jupyter & friends).
A computational physicist by training, his research interests include questions at the nexus of software and geoscience, seeking to build the computational and data ecosystem to tackle problems like climate change with collaborative, open, reproducible, and extensible scientific practices.
He is a co-founder of Project Jupyter, the 2i2c.org initiative, the Berkeley Institute for Data Science, and the NumFOCUS Foundation. He is a recipient of the 2017 ACM Software System Award and the 2012 FSF Award for the Advancement of Free Software. In 2024, Project Jupyter was honored by the Biden White House as a winner of the Year of Open Science Recognition challenge.
Learn more at Fernando’s website!
Invited Speaker - Tasha Snow
Dr. Tasha Snow is a research scientist who co-founded the CryoCloud geoscience cloud-computing community and received the 2023 American Geophysical Union Open Science Recognition Prize. She spends much of her time working to broaden scientific collaboration capabilities, facilitate open-source development, and accelerate scientific workflows. In parallel to her open science work, her research focuses on building new ways of applying satellite data for investigating ocean and glacier changes in Greenland and Antarctica.
Learn more at Tasha’s website!
Invited Speaker - Julia Stewart Lowndes
Dr. Julia Stewart Lowndes is a marine ecologist championing kinder, better science in less time — for future us. Her main focus is how open source, data science, and environmental research can empower us to uncover climate solutions faster by working together as collaborative teams and communities.
Julie is an active part of the open science movement. In 2018 she founded Openscapes as an open source community following her own research team’s path to better science in less time. In 2024, Openscapes was recognized by the Biden White House as a Year of Open Science Recognition Challenge winner.
Learn more at Julie’s website!
Organizers¶
Primary Convener - Qiusheng Wu
Dr. Qiusheng Wu is an Associate Professor and the Director of Graduate Studies in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. He also serves as an Amazon Scholar. Dr. Wu’s research focuses on geospatial data science and open-source software development, with an emphasis on leveraging big geospatial data and cloud computing to study environmental change, particularly surface water and wetland inundation dynamics. He is the creator of several widely used open-source Python packages, including geemap, leafmap, segment-geospatial, and geoai, which support advanced geospatial analysis and interactive visualization.
His open-source work is available at @opengeos.
Convener - Max Jones
Dr. Max Jones is a cloud engineer at Development Seed, building open-source solutions that enable change on a global scale. He is passionate about increasing data accessibility that drives decision-making, with a particular enthusiasm for all things geospatial. Max previously led open-source work at CarbonPlan, a non-profit building open data and tools for climate action. Max serves on the Pangeo Steering Council and the Cloud Native Geospatial Forum Editorial Board.
Find some of Max’s open source software at https://
Convener - Chelle Gentemann
Dr. Chelle Gentemann is an advocate for better science through openness and collaborations. As a computational physical oceanographer focused on remote sensing, Chelle haas worked for over 25 years on retrievals of ocean temperature from space and using that data to understand how the ocean impacts our lives. More recently, Chelle is the open science program scientist at NASA Science Mission Directorate’s Office of the Chief Science Data Officer.
Chelle’s talks & presentations can be found https://
Convener - Tyler Erickson
Dr. Tyler Erickson is the founder of the geospatial consultancy VorGeo, a Technical Fellow at the non-profit Radiant Earth, and a founding editorial board member of the Cloud-Native Geospatial Forum. Previously he led the developer relations team for Google Earth Engine. Dr. Erickson’s work focuses on building communities & ecosystems around emerging technologies, with an emphasis on technologies that can be leveraged by environmental sustainability projects.
His writings & presentations can be found at https://
Student Convener - Wilson Sauthoff
I am a PhD candidate in the Colorado School of Mines Glaciology Lab researching Antarctic subglacial hydrology using geospatial altimetry data, statistics, and machine learning. I am a contributor to the open-source cloud computing hub from CryoCloud.
See my website for more information and to get in touch.
Organizer - Matt Fisher
👋 I’m a Community Manager and Research Software Engineer at Schmidt Center for Data Science & Environment at UC Berkeley. I’m passionate about open source software, open science, and building culture and structure to help people feel safe and comfortable contributing to scientific software projects.
My primary project is GeoJupyter, a community that strives to enable more people to confidently engage with geospatial data in the Jupyter ecosystem. Our flagship project, bootstrapped by QuantStack, is JupyterGIS: a JupyterLab-native GIS environment with real-time collaboration.
You can find more information about me at my website!