Snow Inspector

This application is designed to deliver global, interactive visualizations of critical snowpack parameters—including spatial snow cover extent, snow mass (snowpack density), and snow water equivalent (SWE)—to enhance hydrological forecasting and climate resilience. By aggregating and processing geospatial snow data from satellites, ground sensors, and model outputs, the app enables users to analyze temporal and spatial trends in snow dynamics, such as melt rates, accumulation patterns, and seasonal variability. These insights directly support flood risk mitigation, drought preparedness, and water supply planning by reducing uncertainties in predicting snowmelt-driven streamflow. The platform integrates near-real-time imagery from NASA’s Global Imagery Browse Service (GIBS), a publicly accessible repository managed by the Earth Science Data and Information System (ESDIS) with funding from NASA Headquarters. GIBS provides high-resolution snow cover maps via services like MODIS and VIIRS, which are rendered as interactive, time-lapse layers within the app.

Citing the foundational work of Kadlec et al. (2016), the app employs methodologies for extracting snow cover time series from web mapping tile services, ensuring compatibility with open-access standards. Their research demonstrates how tile-based protocols can efficiently disseminate large-scale snow datasets while minimizing server load, a principle embedded in this tool’s architecture. Users, from hydrologists to emergency managers, can overlay snow metrics with terrain or watershed boundaries, export data for hydrological models (e.g., SWAT), and correlate snowpack trends with historical flood events. Acknowledgment guidelines mandate proper attribution to NASA/ESDIS and original data providers to uphold licensing and intellectual property requirements.