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!
Submit an abstract to speak or present a poster
See you in New Orleans! 🚀
Invited speakers¶
TBD