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Code for Earth: Building Sustainability with Open Satellite Data and FOSS Tools

Proposal status is Rejected
Session Description

In an era of planetary-scale challenges such as climate change, land degradation, water scarcity, and food insecurity access to timely, reliable, and actionable geospatial intelligence is more critical than ever. Let's explores how open-source software combined with freely available satellite data is enabling a new generation of developers, scientists, and communities to build data-driven solutions for sustainability.

How satellite data from missions such as Sentinel (ESA), Landsat (NASA/USGS), PRISMA (ASI), EnMAP (DRL), and Resourcesat (ISRO) can be used to monitor and analyze Earth’s surface using platforms like QGIS, SNAP, Google Earth Engine (with open APIs), and Python-based tools (e.g., Rasterio, GeoPandas, EarthPy). Through real-world case studies, how these tools are applied to track deforestation, crop health, surface water changes, urban sprawl, and even disaster impact all using open-source technology. This is intended for anyone curious about the intersection of FOSS, open data, and environmental resilience, whether you're a developer, student, policymaker, or activist. You’ll leave with actionable knowledge to drive sustainable outcomes in your local or global context.

Key Takeaways
  • Understand the Power of Open EO Data

  • Explore Real-World Environmental Use Cases

  • Inspire Civic and Community-Led Innovation

  • Automating Sustainability Monitoring Workflows

References

Session Categories

Knowledge Commons (Open Hardware, Open Science, Open Data etc.)
Community
Technology architecture

Which track are you applying for?

Main track

Speakers

Harshaditya Gaur
Harshaditya Gaur Senior Engineer : Remote Sensing | BharatRohan Airborne Innovations

I am currently working as a Senior Remote Sensing Engineer at BharatRohan Airborne Innovations, where my responsibilities involve UAV/Satellite data analysis, automating remote sensing workflows etc. My education includes a Bachelor's in Computer Science and a Master's in Remote Sensing & GIS with a specialization in Satellite Image Analysis and Photogrammetry. Passionate about machine learning, geospatial programming, and hyperspectral remote sensing, with a technology advocating compassion and belief that true information is a powerful component to develop new technologies. To sum up all the above - A Space Tech enthusiast.