Cloud probability for Mainland Southeast Asia (MSEA) from 2017 to 2023

This dataset provides aggregated cloud probability for Mainland Southeast Asia (MSEA) at a 100-meter resolution, derived from original 10-meter Sentinel-2 imagery. It was created to support the analysis in the research article: "Patterns and drivers of pixel-based Sentinel-2 cloud probability in Mainland Southeast Asia".This dataset is structured into several temporal aggregations for Mainland Southeast Asia (MSEA) covering the period from 2017 to 2023. For seasonal analysis, the months are defined as the Wet Season (May to October) and the Dry Season (November to April). The provided data includes:Monthly average cloud probabilityQuarterly average cloud probabilitySeasonal average cloud probability (for Wet and Dry seasons)Annual average cloud probabilityA multi-year average representing the entire 2017-2023 periodThis data is useful for studies on cloud-environment interactions and optimizing remote sensing applications in tropical regions.File Naming ConventionAll files follow a consistent naming convention to ensure clarity and ease of use. The structure is as follows:MSEA_CloudProb_[Aggregation]_[Time]_[Resolution].tifMSEA: Geographic region (Mainland Southeast Asia).CloudProb: Variable (Cloud Probability).[Aggregation]: Temporal aggregation type (avg, annual_avg, seasonal_avg, quarterly_avg, monthly_avg).[Time]: The specific time period for the file.[Resolution]: The spatial resolution (100m).Below is a table with examples for each data type provided in this dataset.Data ContentExample FilenameMulti-year AverageMSEA_CloudProb_avg_2017-2023_100m.tifAnnual AverageMSEA_CloudProb_annual_avg_2017_100m.tifSeasonal AverageMSEA_CloudProb_seasonal_avg_2017-2023_Wet_100m.tifQuarterly AverageMSEA_CloudProb_quarterly_avg_2017-2023_Q1_100m.tifMonthly AverageMSEA_CloudProb_monthly_avg_201701-202301_100m.tif