Hi everyone ![]()
I built a Streamlit app to explore and visualize outputs from the SESAME (Surface Earth System Analysis and Modeling Environment) project:
SESAME is an open-source framework that converts diverse datasets (tabular, raster, point, polygon, etc.) into a unified global grid, making it easier to study interactions between human systems and the Earth system.
What this app does:
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Interactive visualization of SESAME-generated spatial datasets
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Explore variables across global grids
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Quickly compare human and environmental data in a consistent format
Why I built it:
Working with SESAME outputs (netCDF, gridded data) is powerful but not always easy to explore quickly. I wanted a lightweight interface to make exploration more accessible and intuitive.
Tech stack:
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Streamlit
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Python
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SESAME (https://github.com/A2Faisal/SESAME)
Would love feedback on:
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UX / usability improvements
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Additional features for exploring geospatial datasets
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Any ideas for making this more useful for researchers or students
Thanks!