Annual Land Use and Urban Land Cover: Ethiopia, Nigeria, and South Africa, 2016-2020
This dataset provides a two-tier annual Land Use (LU) and Urban Land Cover (LC) product suite over three African countries, Ethiopia, Nigeria, and South Africa, across a 5-year period of 2016-2020. Remote sensing data sources were used to create 30-m resolution LU maps (Tier-1), which were then utilized to delineate urban boundaries for 10-m resolution LC classes (Tier-2). Random Forest machine learning classifier models were trained on reference data for each tier and country (but one model was trained across all years); models were validated using a separate reference data set for each tier and country. Tier-1 LU maps were based on the 30-m Landsat time series, and Tier-2 urban LC maps were based on the 10-m Sentinel-2 time series. Additional data sources included climate, topography, night-time light, and soils. The overall map accuracy was 65-80% for Tier-1 maps and 60-80% for Tier-2 maps, depending on the year and country. The data are provided in cloud optimized GeoTIFF (COG) format.
Resources
5 resources available
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Data Information (JPEG)
JPEG -
Data Information (ZIP)
ZIP -
Data Information (PDF)
PDF -
Data Information (HTML)
HTML -
Data Information (Unknown Format)
BIN
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
"hasEmail": "mailto:earthdata-support@nasa.gov"
}
|
| description | This dataset provides a two-tier annual Land Use (LU) and Urban Land Cover (LC) product suite over three African countries, Ethiopia, Nigeria, and South Africa, across a 5-year period of 2016-2020. Remote sensing data sources were used to create 30-m resolution LU maps (Tier-1), which were then utilized to delineate urban boundaries for 10-m resolution LC classes (Tier-2). Random Forest machine learning classifier models were trained on reference data for each tier and country (but one model was trained across all years); models were validated using a separate reference data set for each tier and country. Tier-1 LU maps were based on the 30-m Landsat time series, and Tier-2 urban LC maps were based on the 10-m Sentinel-2 time series. Additional data sources included climate, topography, night-time light, and soils. The overall map accuracy was 65-80% for Tier-1 maps and 60-80% for Tier-2 maps, depending on the year and country. The data are provided in cloud optimized GeoTIFF (COG) format. |
| distribution |
[
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"@type": "dcat:Distribution",
"title": "Data Information (JPEG)",
"format": "JPEG",
"mediaType": "image/jpeg",
"downloadURL": "https://daac.ornl.gov/VEGETATION/guides/LULC_Nigeria_Ethiopia_SAfrica_Fig1.jpg"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (ZIP)",
"format": "ZIP",
"mediaType": "application/zip",
"downloadURL": "https://data.ornldaac.earthdata.nasa.gov/protected/bundle/LULC_Nigeria_Ethiopia_SAfrica_2367.zip"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (PDF)",
"format": "PDF",
"mediaType": "application/pdf",
"downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/global_vegetation/LULC_Nigeria_Ethiopia_SAfrica/comp/LULC_Nigeria_Ethiopia_SAfrica.pdf"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (HTML)",
"format": "HTML",
"mediaType": "text/html",
"downloadURL": "https://doi.org/10.3334/ORNLDAAC/2367"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (Unknown Format)",
"format": "BIN",
"mediaType": "application/octet-stream",
"downloadURL": "https://search.earthdata.nasa.gov/search?q=LULC_Nigeria_Ethiopia_SAfrica_2367&ac=true"
}
]
|
| identifier | 10.3334/ORNLDAAC/2367 |
| keyword |
[
"earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems-urban-lands",
"earth-science-environmental-governance-management-human-dimensions-land-management-land-use-lan",
"earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification"
]
|
| landingPage | https://search.earthdata.nasa.gov/search?q=LULC_Nigeria_Ethiopia_SAfrica_2367&ac=true |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "ORNL_DAAC",
"@type": "org:Organization"
}
|
| spatial |
"[[{"WestBoundingCoordinate":2.5725,"NorthBoundingCoordinate":16.2061,"EastBoundingCoordinate":49.6875,"SouthBoundingCoordinate":-35.3369}],"CARTESIAN"]"
|
| temporal | 2016-01-01/2016-01-01 |
| theme |
[
"Earth Science"
]
|
| title | Annual Land Use and Urban Land Cover: Ethiopia, Nigeria, and South Africa, 2016-2020 |
