{"id":"wp_pop_icunadj","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://api.earthobservation.vam.wfp.org/stac/collections/wp_pop_icunadj/items"},{"rel":"parent","type":"application/json","href":"https://api.earthobservation.vam.wfp.org/stac/"},{"rel":"root","type":"application/json","href":"https://api.earthobservation.vam.wfp.org/stac/"},{"rel":"self","type":"application/json","href":"https://api.earthobservation.vam.wfp.org/stac/collections/wp_pop_icunadj"},{"rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json","title":"Queryables","href":"https://api.earthobservation.vam.wfp.org/stac/collections/wp_pop_icunadj/queryables"}],"title":"WorldPop Population Counts","assets":{"thumbnail":{"href":"https://api.earthobservation.vam.wfp.org/stac/thumbnails/collections/wp_pop_icunadj.png","type":"image/png","roles":["thumbnail"],"title":"Thumbnail"}},"extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["2020-01-01T00:00:00Z","2020-12-31T23:59:59Z"]]}},"license":"CC-BY-4.0","keywords":["open-access"],"providers":[{"url":"https://www.worldpop.org/","name":"WorldPop","roles":["producer"],"description":"The WorldPop research programme, based in the School of Geography and Environmental Sciences at the University of Southampton, is a multi-sectoral team of researchers, technicians and project specialists that produces data on population distributions and characteristics at high spatial resolution."},{"url":"https://www.wfp.org/","name":"WFP Food Security and Nutrition Analysis Service (VAM)","roles":["processor"],"description":"The Food Security and Nutrition Analysis Service (VAM) is a global network of analysts, specialists and technical experts dedicated to understanding the drivers, dynamics and impacts of food insecurity and malnutrition."},{"url":"https://source.coop/","name":"Source Cooperative","roles":["host"],"description":"Source Cooperative is a data publishing utility that provides trusted organizations with a low-cost, standards-compliant way to share data."}],"description":"This collection contains the [WorldPop](https://www.worldpop.org/) population counts for individual countries UN adjusted. The spatial resolution of the individual items is 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat [(2019 Revision of World Population Prospects)](https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/EXCEL_FILES/1_Population/WPP2019_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xlsx). The mapping approach is [Random Forest-based dasymetric redistribution](https://doi.org/10.1371/journal.pone.0107042).\n\nThe methodology used to estimate the annual subnational census-based figures can be found in [Lloyd et al: Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets](https://www.tandfonline.com/doi/full/10.1080/20964471.2019.1625151), while the information and sources of the input population data are [available here](https://www.worldpop.org/resources/docs/national_boundaries/global-input-population-data-summary.xlsx).\n\nPercentage difference between the subnational census-based and UN-based figures in 2010 has been visualised in [2D map](https://hub.worldpop.org/visual/wpunadj_difference). \n\n---\n\n_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/WP00660_\n\n_Bondarenko M., Kerr D., Sorichetta A., and Tatem, A.J. 2020. Census/projection-disaggregated gridded population datasets, adjusted to match the corresponding UNPD 2020 estimates, for 51 countries across sub-Saharan Africa using building footprints. WorldPop, University of Southampton, UK. https://doi.org/10.5258/SOTON/WP00683_\n\n_Bondarenko M., Kerr D., Sorichetta A., and Tatem, A.J. 2020. Census/projection-disaggregated gridded population datasets for 189 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs. WorldPop, University of Southampton, UK. https://doi.org/10.5258/SOTON/WP00684_\n\n_Storage for this dataset is generously provided by [Source Cooperative](https://source.coop/), a [Radiant Earth](https://radiant.earth/) project._","item_assets":{"constrained":{"type":"image/tiff; application=geotiff; profile=cloud-optimized","roles":["data"],"title":"Constrained Population Counts","description":"Constrained Population (estimation only within areas mapped as containing built settlements)","raster:bands":[{"unit":"1","nodata":-99999,"data_type":"float32"}]},"unconstrained":{"type":"image/tiff; application=geotiff; profile=cloud-optimized","roles":["data"],"title":"Unconstrained Population Counts","description":"Unconstrained Population (Estimation over all land grid squares globally)","raster:bands":[{"unit":"1","nodata":-99999,"data_type":"float32"}]}},"stac_version":"1.0.0","stac_extensions":["https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"]}