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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2367
Version1
Project
Published2024-09-06
Usage18 downloads

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.

Science Keywords

  • LAND SURFACE
  • LAND USE/LAND COVER
  • LAND USE/LAND COVER CLASSIFICATION
  • HUMAN DIMENSIONS
  • ENVIRONMENTAL GOVERNANCE/MANAGEMENT
  • LAND MANAGEMENT
  • LAND USE/LAND COVER CLASSIFICATION
  • BIOSPHERE
  • ECOSYSTEMS
  • ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS
  • URBAN LANDS

Data Use and Citation

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Crosscite Citation Formatter
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

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

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Companion Files

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Dataset has 1 companion files.

  • LULC_Nigeria_Ethiopia_SAfrica.pdf