Data set Data set includes: "a_LandCover_tiff.zip", including the land cover classification results (.tif) per season from 2013 to 2022. Images are stored with the code: "LC_YYYY_SSS" with LC standing for Land Cover, YYYY the year, and SSS the season. "b_Traininng_Validation_Points.zip", including the Landsat mask areas (.tif), the training points (.shp) for random forest classification, and two validation point sets (.shp) "c_Tables.zip", including tables with: D1_LandsatImageryList: List of the 764 Landsat images used in VUB D2_TimeSeries_Data: Land cover areas and climate time series, median and average seasonal values, and the inter-seasonal values. D3_mCorResults: Correlation statistical analysis results based on Spearman's rank correlation coefficient. D4_PixelChanges: Pixel changes (%) between seasons D5_SnowWetland_StatFreq: Spatial Snow and Wetland statistics Script - Google Earth Engine The script to the land cover classification model in Google Earth Engine platform is additional included as .txt or found in the next link: https://code.earthengine.google.com/ef63db64831972b3ae873fc7bc9b09af?noload=true