The GLASS-GLC data set is the first record of 34-year long annual dynamics of land cover spanning from 1982 to 2015 at 5 km resolution. It was built with the latest version of GLASS (The Global Land Surface Satellite) CDRs (Climate Data Records) and generated on the Google Earth Engine (GEE) platform. The average overall accuracy for the 34 years each with 7 classes, including cropland, forest, grassland, shrubland, tundra, barren land, and snow/ice, is 82.81 %.The annual global land cover map (5 km) is presented in a GeoTIFF file format named in the form of ‘GLASS-GLC_7classes_year’ with a WGS 84 projection.
File name: GLASS-GLC_ 7classes_ year.tif where GLASS-GLC represents the project name; 7 classes represent 7 land types; year from 1982 to 2015
Data reading mode: the data set is stored by tif, and can be opened and displayed directly by ArcGIS software or other software.
Liu, H. (2022). Annual dynamics and long-term changes of global 5km GLASS-GLC land cover (1982-2015). Upper Yangtze River Scientific Data Center, DOI: https://doi.org/10.1594/PANGAEA.913496. (Download the reference：
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