HILDA+ Global Land Use Change between 1960 and 2019
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PANGAEA
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| Autores principales: | , , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2020
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| Acceso en línea: | |
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| _version_ | 1867171870123491328 |
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| author | Winkler, Karina Fuchs, Richard Rounsevell, Mark D A Herold, Martin |
| author_facet | Winkler, Karina Fuchs, Richard Rounsevell, Mark D A Herold, Martin |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_921846 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | HILDA+ Global Land Use Change between 1960 and 2019 Winkler, Karina Fuchs, Richard Rounsevell, Mark D A Herold, Martin Binary Object; Binary Object (File Size); Binary Object (Media Type); global; Land cover; land use; land use change; remote sensing 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. |
| title | HILDA+ Global Land Use Change between 1960 and 2019 |
| topic | Binary Object; Binary Object (File Size); Binary Object (Media Type); global; Land cover; land use; land use change; remote sensing |
| url | https://doi.org/10.1594/PANGAEA.921846 |