GIS Day: Remote Sensing of Snow Depth
Join Kehan Yang, Research Scientist at Science Systems and Applications, Inc. (SSAI), as she explains how machine learning combined with satellite observations is transforming measurements of global snow depth. This video highlights practical advances in turning remote sensing data into actionable insights that strengthen water management, improve forecasting, and support national security.
By blending AI and remote sensing, Kehan demonstrates how new methods convert satellite imagery into more accurate snow-depth estimates. Viewers will see why precise snow data matters for managing water resources, improving hydrologic forecasts, and informing decision-makers who rely on reliable spatial information.
Watch to learn how GIS-driven approaches and machine learning models are changing snow science and mapping from space.
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