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

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.

Resources

Name Format Description Link
5 https://search.earthdata.nasa.gov%2Fsearch%3Fq%3DLULC_Nigeria_Ethiopia_SAfrica_2367%26ac%3Dtrue
5 https://daac.ornl.gov%2FVEGETATION%2Fguides%2FLULC_Nigeria_Ethiopia_SAfrica.html
5 https://doi.org%2F10.3334%2FORNLDAAC%2F2367
5 https://data.ornldaac.earthdata.nasa.gov%2Fprotected%2Fbundle%2FLULC_Nigeria_Ethiopia_SAfrica_2367.zip
5 https://daac.ornl.gov%2FVEGETATION%2Fguides%2FLULC_Nigeria_Ethiopia_SAfrica_Fig1.jpg
5 https://data.ornldaac.earthdata.nasa.gov%2Fpublic%2Fglobal_vegetation%2FLULC_Nigeria_Ethiopia_SAfrica%2Fcomp%2FLULC_Nigeria_Ethiopia_SAfrica.pdf

Tags

  • 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

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