The accelerating impacts of climate change demand innovative approaches to monitor and analyze Earth’s cryosphere. This paper presents a scalable, cloud-native framework for global glacier monitoring, integrating advanced satellite imaging, automated processing pipelines, and intelligent data structures. By transforming petabytes of satellite data into near-real-time velocity measurements, the system enables high-resolution spatial and temporal analysis. It eliminates traditional data-handling barriers through cloud-optimized formats and serverless access tools, providing researchers with rapid, reproducible workflows. This approach redefines Earth observation, advancing climate science through seamless data integration, open-source methodologies, and user-friendly analytics platforms to support global sustainability efforts.

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Next-Generation Glacier Monitoring: Leveraging Cloud Computing for Climate Insights

  • Venkat Reddy Annapureddy

摘要

The accelerating impacts of climate change demand innovative approaches to monitor and analyze Earth’s cryosphere. This paper presents a scalable, cloud-native framework for global glacier monitoring, integrating advanced satellite imaging, automated processing pipelines, and intelligent data structures. By transforming petabytes of satellite data into near-real-time velocity measurements, the system enables high-resolution spatial and temporal analysis. It eliminates traditional data-handling barriers through cloud-optimized formats and serverless access tools, providing researchers with rapid, reproducible workflows. This approach redefines Earth observation, advancing climate science through seamless data integration, open-source methodologies, and user-friendly analytics platforms to support global sustainability efforts.