The research examines how vegetation and snow cover patterns change over time and space within the Maritime Alps (Western Italian Alps) which serves as a climate change and ecological transition hotspot. The research utilizes Sentinel-2 Level-2A multispectral imagery which underwent processing through two cloud-based Earth Observation (EO) platforms known as Google Earth Engine (GEE) and Sentinel Hub to track environmental changes from 2018 to 2024. Vegetation phenology and snow persistence were assessed using the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Snow Index (NDSI). A dual-threshold approach was applied: fixed thresholds (NDVI = 0.30, NDSI = 0.42) enabled temporal consistency, while adaptive Otsu thresholding addressed scene-specific spectral variability and topographic effects that typically reduce classification accuracy.