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    • Annual Land Use and Urban Land Cover: Ethiopia, Nigeria, and South Africa, 2016-2020

    Metadata Updated: September 16, 2024

    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.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date September 16, 2024
    Metadata Updated Date September 16, 2024

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Predicted land use for Nigeria with a detailed land cover for Benin City (inset).

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 16, 2024
    Metadata Updated Date September 16, 2024
    Publisher ORNL_DAAC
    Maintainer
    Identifier C3235688636-ORNL_CLOUD
    Data First Published 2024-09-06
    Language en-US
    Data Last Modified 2024-09-11
    Category Vegetation, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation Vogeler, J., and S. Shah Heydari. 2024. Annual Land Use and Urban Land Cover: Ethiopia, Nigeria, and South Africa, 2016-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2367
    Graphic Preview Description Predicted land use for Nigeria with a detailed land cover for Benin City (inset).
    Graphic Preview File https://daac.ornl.gov/VEGETATION/guides/LULC_Nigeria_Ethiopia_SAfrica_Fig1.jpg
    Harvest Object Id 051213b8-8ca3-443b-9e03-fdbd3dc559e7
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/2367
    Metadata Type geospatial
    Old Spatial 2.57 -35.34 49.69 16.21
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 5f381a2484f0e97707a56e4d5c0e0612df084333fbf1d3b066b77416123634fc
    Source Schema Version 1.1
    Spatial
    Temporal 2016-01-01T00:00:00Z/2020-12-31T23:59:59Z

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