HILDA+ (HIstoric Land Dynamics Assessment+) is a global dataset on annual land use/cover change between 1960-2019 at 1 km spatial resolution. It is based on a data-driven reconstruction approach and integrates multiple open data streams (from high-resolution remote sensing, long-term land use reconstructions and statistics). It covers six generic land use/cover categories: 1: Urban areas, 2: Cropland, 3: Pasture/rangeland, 4: Forest, 5: Unmanaged grass/shrubland, 6: Sparse/no vegetation.
HILDA+ contains annual land use/cover states and transitions, which we provide in different versions/ZIP folders:
1) vGLOB-1.0_geotiff: land use/cover states and transition layers as single geotiffs from 1960 to 2019.
2) vGLOB-1.0-f_netcdf: land use/cover states and transition layers as two large netCDF files with extened time span from 1899 to 2019 (including forest class sub-division and dynamics).
3) hildap_vGLOB-1.0_change-layers: Additionally, HILDA+ change layers (change frequency; forest, cropland and pasture/rangeland change 1960-2019) are provided as geotiffs.
4) hildap_vGLOB-1.0_uncertainty: Uncertainty layers are provided as geotiffs in 3 ZIP folders (part1-3), containing annual datasets of uncertainty information: number of input datasets, deviation and average area fraction per land use/cover category.
13 data points