Kontur Population: Global Population Density for 400m H3 Hexagons

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Source Kontur
Contributor
Date of Dataset September 28, 2020-September 28, 2020
Updated 28 September 2020
Expected Update Frequency As needed
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Methodology

If you need some custom processing or higher resolution version of this dataset contact us please.

GHSL is overlaid with Facebook population data where available. Known artifacts of both are constrained using OpenStreetMap data as hint. Building presence, or otherwise built-up area, implies there's someone on the ground, which is often missed in Facebook Africa data. Quarries and big roads are marked as unpopulated, as they are often falsely detected as populated in GHSL. Lakes, rivers, glaciers, sands, forests and other alike land uses are marked as unpopulated. Overly hot pixels ("half a million people in quarter of square kilometer") are spread out to more realistic surroundings. Totals are not touched in any way, population is shifted to neighbouring cells to satisfy constraints. Non-integer population counts are fixed up by gluing people back together to complete human beings.

Caveats / Comments

Dataset is primarily designed to support visualization behind https://disaster.ninja/ project and may not be suitable for your specific needs.

Facebook High Resolution Settlement data: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe.

Global Human Settlement Layer: Dataset: Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS population grid multitemporal (1975, 1990, 2000, 2015) R2019A. European Commission, Joint Research Centre (JRC) DOI: 10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218 PID: http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f Concept & Methodology: Freire, Sergio; MacManus, Kytt; Pesaresi, Martino; Doxsey-Whitfield, Erin; Mills, Jane (2016): Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE). AGILE 2016.

Copernicus Global Land Service: Land Cover 100m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, Myroslava Lesiv, Nandin-Erdene Tsendbazar, … Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3939050

Microsoft Buildings: Canada, Tanzania, Uganda, USA: This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).

OpenStreetMap: Some data (c) OpenStreetMap.org Contributors

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