HILDA+ Global Land Use Change between 1960 and 2019

DOI

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.Note that maps were reprojected from original equal-area World Eckert IV (EPSG:54012; 1 km) to WGS 84 (EPSG: 4326; 0.01 degree) by using nearest neighbour resampling.

Identifier
DOI https://doi.org/10.1594/PANGAEA.921846
Related Identifier https://doi.org/10.1038/s41467-021-22702-2
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.921846
Provenance
Creator Winkler, Karina ORCID logo; Fuchs, Richard; Rounsevell, Mark D A ORCID logo; Herold, Martin ORCID logo
Publisher PANGAEA
Publication Year 2020
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 14 data points
Discipline Environmental Research; Geosciences; Land Use; Natural Sciences