Fields: userid - unique user identifier submissionid - unique submission identifier (multiple submissions per location were possible) sampleid - unique location identifier long_description - cropland classes: > 0%-10% > 10%-20% > 20%-30% > 30%-40% > 40%-50% > 50%-60% > 60%-70% > 70%-80% > 80%-90% > 90%-100% no cropland not sure geowiki_class - cropland classes translated in numeric categories: 1 - > 0%-10% 2 - > 10%-20% 3 - > 20%-30% 4 - > 30%-40% 5 - > 40%-50% 6 - > 50%-60% 7 - > 60%-70% 8 - > 70%-80% 9 - > 80%-90% 10 - > 90%-100% 0 - no cropland 101 - not sure centroid_x, centroid_y - centroid coordinates for each 500m x 500m pixel

This is a reference data set for validation of the hybrid cropland map at 500m resolution for the year 2019 (Fritz, 2024, map available here) Sampling design: random whithin areas of improvement, where the WorldCereal map is performing better (less errors) than the GLAD cropland map 2019. Number of sample sites: 500 Method of data collection: visual interpreation of various sources of information, including very high resolution images and photos. Tool for data collection: Geo-Wiki