GLanCE: A Global Land Cover Training Dataset from 1984 to 2020
The GLanCE global database contains nearly 2 million training units spanning the period from 1984 to 2020 for seven primary and twelve secondary land cover classes. The database is medium spatial resolution (30 m), geographically and spectrally representative of all global ecoregions, and contains up to 23 land cover characteristics per sample. To support land cover change mapping, the dataset includes up to 36 years and information about abrupt and gradual land cover change.
Published on 26 Jun 2024Public