The fraction of land cover classes; derived variables from ESA CCI Land Cover time-series (1992 - 2020)

GEOEssential project (http://www.geoessential.eu/) is built on an end-user-driven approach to first identify environmental policy indicators, then their associated Essential Variables (EVs), and finally the appropriate Earth Observation data sources. In the context of the GEOEssential project, we developed a workflow to aggregate the ESA CCI Land Cover time-series (https://www.esa-landcover-cci.org/) in a more end-user friendly format and structure. The ESA CCI Land Cover time series describes the land surface with 22 classes at a spatial resolution of 0.002778° (~ 300 m) annually from 1992 to 2020. We calculated the fraction of each class at two windows of 10 x 10 pixels and 100 x 100 pixels for the entire time-series. As a result, we produced 22 layers corresponding to each of the classes, per year, presenting the fraction of each class in ~3 km and ~30 km globally from 1992 to 2020. This provides the end-users with the possibility to explore the changes in a fraction of a single land cover class, e.g. urban areas, and easily employ the ESA CCI Land Cover time-series in their works with a significantly less computational cost at the global scale. "fraccover_100_netcdf.7z": All years, all classes, fraction in 100 x 100 pixels in NetCDF format "fraccover_class_100.7z": All years, all classes, class by class, fraction in 100 x 100 pixels in GeoTIFF format "fraccover_10_netcdf.7z": All years, all classes, fraction in 10 x 10 pixels in NetCDF format "fraccover_class_10.7z": All years, all classes, class by class, fraction in 10 x 10 pixels in GeoTIFF format