Global overview of cloud-, snow-, and shade-free Landsat (1982-2023) and Sentinel-2 (2015-2023) data

# Global overview of cloud-, snow-, and shade-free Landsat (1982-2023) and Sentinel-2 (2015-2023) data Suggested citation: Lewińska, Katarzyna Ewa, et al. (Forthcoming 2024). Global overview of cloud-, snow-, and shade-free Landsat (1982-2023) and Sentinel-2 (2015-2023) data [Dataset]. Dryad. [https://doi.org/10.5061/dryad.gb5mkkwxm](https://doi.org/10.5061/dryad.gb5mkkwxm) ## Description of the data and file structure A global overview of usable (i.e., cloud-, snow-, and shade-free) 1982-2023 Landsat and 2015-2023 Sentinel-2 data, derived for a regular 0.18° x 0.18°-point grid. Dataset featured in Lewińska, K.E., Ernst, S., Frantz D., Leser U., Hostert P., (year), Global overview of usable Landsat and Sentinel-2 data for 1982-2023, Submitted to Data in Brief The complete dataset comprises three .csv files: * GLOBAL_LND_1982-2023_CSO.csv: Daily data availability derived from Landsat 1982-2023 archives * GLOBAL_S2_2015-2023_CSO.csv: Daily data availability derived from Sentinel-2 2015-2023 archives * GLOBAL_GrowingSeason.csv: Growing season information for normal and leap years Each file consists of 475,150 observations representing the global sample-point grid. Each observation is characterized by a unique identifier and coordinates (id, Lat, and Lon). The binary information on the availability of cloud-, snow-, and shade-free observation (i.e., 1 – valid observation; 0 – no data, or invalid observation) are available daily in variables named L_YYYY_MM_dd, where YYYY indicates the year, MM indicates the month, and dd indicates the day. The **GLOBAL_GrowingSeason.csv** dataset comprises growing season masks (1 – within the growing season, 0 – outside the growing season, empty cells - no valid growing season) for leap and regular years. The former information is contained in columns Leap_MM_dd and the latter in columns Regular_MM_dd, where MM indicates the month, and dd indicates the day. ## Sharing/Access information The dataset was derived based on freely and openly accessible Landsat and Sentinel-2 data archives available in Google Earth Engine. We used all Landsat surface reflectance Level 2, Tier 1, Collection 2 scenes acquired with the Thematic Mapper (TM) (doi.org/10.5066/P918ROHC), Enhanced Thematic Mapper (ETM+) (https://doi.org/10.5066/P9TU80IG, and Operational Land Imager (OLI) (https://doi.org/10.5066/P975CC9B scanners between 22nd August 1982 and 31st December 2023, and Sentinel-2 TOA reflectance Level-1C scenes (pre Collection-1 (https://doi.org/10.5270/S2_-d8we2fl and Collection-1 (https://doi.org/10.5270/S2_-742ikth acquired with the MultiSpectral Instrument (MSI) between 23rd June 2015 and 31st December 2023.