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One of the main remote sensors used for monitoring snow covered areas is the Moderate Resolution Imaging Spectroradiometer (MODIS) employed by NASA's Terra and Aqua satellites. Using MODIS-derived snow cover images is limited under cloud-covered regions due to the sensor's capabilities. This paper presents an automated process based on K-Nearest Neighbor (KNN) algorithm using spatiotemporal features, to estimate the pixel cover for cloud-covered regions. The algorithm was tested using MODIS's daily snow-cover datasets obtained from Terra (MOD10A1) and Aqua (MYD10A1) satellite for the Lebanese territories as a study region. Several experiments were implemented to test the accuracy of the proposed algorithm, and the results were highly acceptable (>90%).