Automating Glacier Mapping using Satellite Imagery

• Tech Stack: QGIS, .
• Project Duration: 6 Weeks
• Github URL: Project Link

Trans-Himalayan Ladakh is susceptible to climate change impacts, including rapid glacier retreat due to global warming. The region heavily relies on Cryosphere-fed water sources, especially glacier-derived surface water, which is vital for the majority of its population. Reports indicate an alarming annual glacier retreat rate exceeding 6%, with some exceptions like the advancing Puche glacier. To ensure sustainable water availability, it is crucial to employ time series glacier mapping for monitoring Cryospheric resources. This approach aids in projecting future water availability, facilitating informed planning and effective management of water resources for Ladakh's communities.

The region of Ladakh possesses various temporal inventories of its glaciers, both local and regional/global, which document their changes over time. However, a more efficient and accurate annual mapping of glaciers, especially debris-covered ones, is currently essential. This endeavor aims to develop precise tools utilizing satellite imagery for temporal glacier mapping. The ultimate objective is to establish a GIS dashboard that generates a comprehensive glacier map of Ladakh. Beyond mapping, the larger project envisions connecting local communities, regional authorities, and academia through AI tools, facilitating effective water resource management amid the urgent climate crisis. The initiative's focal point is to identify and address challenges faced by Ladakh's communities.

Members: Joseph Moturi, .

More information available on GitHub.