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.
Understand the Power of Open EO Data
Explore Real-World Environmental Use Cases
Inspire Civic and Community-Led Innovation
Automating Sustainability Monitoring Workflows
The proposal is generic at the moment with just applications of geospatial data in many fields. The audience would have an introduction to it already. Suggesting the proposer add more detail to the proposal. A deep dive on one project would have more takeaways than a generic exploration.