Winkler, Karina; Fuchs, Richard; Rounsevell, Mark D A; Herold, Martin (2025): HILDA+ version 2.0: Global Land Use Change between 1960 and 2020 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.974335 (DOI registration in progress)
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2025-04-29
Abstract:
HILDA+ version 2.0 is an updated version of the HILDA+ (HIstoric Land Dynamics Assessment+) doi:10.1594/PANGAEA.921846. It is a global dataset on annual land use/cover change between 1960-2020 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). Compared to the previous version, this new HILDA+ version 2.0 uses a base map from the year 2020 (based on ESA World Cover), integrates new remote sensing-based land cover datasets (see documentation sheet in the uploaded data), is calibrated on updated national land use statistics from FAO and includes additional cropland-related land use categories: tree crops, agroforestry and annual crops. See the documentation and the paper reference for the method of cropland mapping. Forests are subdivided into different forest types based ESA CCI Land Cover (1992-2020). HILDA+ version 2.0 covers the following land use/cover categories (given with their respective code numbers in the dataset): 11: Urban areas, 22: Annual crops, 23: Tree crops, 24: Agroforestry, 33: Pasture/rangeland, 40: Forest (unknown/other), 41: Forest (evergreen, needle leaf), 42: Forest (evergreen, broad leaf), 43: Forest (deciduous, needle leaf), 44: Forest (deciduous, broad leaf), 45: Forest (mixed), 55: Unmanaged grass/shrubland, 66: Sparse/no vegetation.
Keyword(s):
Supplement to:
Winkler, Karina; Fuchs, Richard; Rounsevell, Mark D A; Herold, Martin (accepted): Six decades of global crop yield increase and cropland expansion from 1960 to 2020. Environmental Research Communications
Related to:
Winkler, Karina; Fuchs, Richard; Rounsevell, Mark D A; Herold, Martin (2020): HILDA+ Global Land Use Change between 1960 and 2019 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.921846
Winkler, Karina; Fuchs, Richard; Rounsevell, Mark D A; Herold, Martin (2021): Global land use changes are four times greater than previously estimated. Nature Communications, 12(2501), https://doi.org/10.1038/s41467-021-22702-2
Comment:
Version 2.0 is a follow-up from the old version 1.0 datatset. The methods to produce the new data stayed the same, but input data (more and updated input datasets) as well as the data content (more and more detailed land use categories, and extended time period) has changed.
File descriptions:
HILDA+ version 2.0 contains annual land use/cover states and transitions, which we provide in different versions/ZIP folders:
1) vGLOB-2.0_geotiff_eckert4: land use/cover states and transition layers as single geotiffs from 1960 to 2020, projection: original equal-area World Eckert IV (EPSG:54012; 1 km resolution).
2) vGLOB-2.0_geotiff_wgs84: land use/cover states and transition layers as single geotiffs from 1960 to 2020, reprojected to WGS 84 (EPSG: 4326; 0.01 degree resolution) by using nearest neighbour resampling.
3) vGLOB-2.0_nc: land use/cover states and transition layers as two large netCDF files with extended time span from 1899 to 2020 (pre-1960 maps were based on backcasted, extrapolated trends of remote-sensing based land cover maps containing annual time series and FAO data).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Winkler, Karina | |||
| 2 | Binary Object (File Size) | Binary (Size) | Bytes | Winkler, Karina | ||
| 3 | Binary Object (Character Set) | Binary (Charset) | Winkler, Karina | |||
| 4 | Binary Object (Media Type) | Binary (Type) | Winkler, Karina | |||
| 5 | Binary Object (MD5 Hash) | Binary (Hash) | Winkler, Karina |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
7 data points