Workshop Beginner

Decode the Cosmos with ISRO’s Open-Source Planetary Data Archives

Approved

Session Description

India’s planetary exploration missions Chandrayaan-1, Chandrayaan-2, and the Mars Orbiter Mission have produced a wealth of scientific data, much of which is now openly accessible through the ISRO Science Data Archive (ISDA). However, these datasets remain underutilized due to lack of awareness and technical entry barriers. This workshop aims to bridge that gap by introducing participants to hands-on workflows for working with ISRO’s planetary datasets using free and open-source tools.

The session will focus on Lunar and Martian datasets, guiding you through steps like data access, visualization, and basic analysis. Tools such as QGIS, Python (with libraries like Rasterio and Spectral Python) will be used to process and interpret these datasets. You will learn how to work with Planetary Data System (PDS) formats, generate false color composites, extract spectral profiles, and analyze surface morphology—all without commercial software.

Whether you're a developer, student, or a citizen scientist, this workshop offers a meaningful opportunity to explore real data from India’s space missions and gain practical skills to contribute to open planetary science using accessible tools.

Key Takeaways

Understand ISRO's Open Planetary Data Ecosystem
Work with Planetary Remote Sensing Data
Use Open-Source Tools for Analysis
Process and Visualize Planetary Surfaces
Build Skills for Planetary Research & Exploration

References

https://pradan.issdc.gov.in/

https://pradan.issdc.gov.in/ch3/

https://pradan.issdc.gov.in/ch2/

https://mrbrowse.issdc.gov.in/MOMLTA/

https://www.isro.gov.in/

https://www.issdc.gov.in/

Session Categories

Knowledge Commons (Open Hardware, Open Science, Open Data etc.)

Which track are you applying for?

Main track

Speakers

Harshaditya Gaur Senior Engineer : Remote Sensing | BharatRohan Airborne Innovatios Limited

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.