An Attempt to Estimate High-Resolution Snow Cover Area in the Himalayan Alpine Region

Key Points

• The aim is to estimate the snow cover area at high resolution in the Himalayan alpine region using satellite data.
• Utilized daily MODIS and reanalysis meteorological data.
• Employed random forest algorithms for predictions.
• Conducted predictions using both classification and regression techniques.
• Achieved approximately 75% accuracy in classification predictions.
• Attained a root mean square error (RMSE) of 15% in regression predictions.
• Identified strong importance of features like elevation and slope in snow cover predictions.