The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84.
The value of each grid cell represents its elevation above the sea level (in meters).
Filenames: Example - tza_srtm_topo_100m.tif represents SRTM elevation 2000 in Tanzania
Data Source: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org/dem3.html); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http://www2.jpl.nasa.gov/srtm/)
Methodology: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. 'Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets'. Big Earth Data (https://doi.org/10.1080/20964471.2019.1625151).
Region : Tanzania
DOI : 10.5258/SOTON/WP00644
Date of production : 2018-11-02
Recommended citation
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00644
Data Files :
WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.