Citation: Jin Y, Liu R, Fan H, Li P, Liu Y, Jia Y. Multi-Resolution Population Mapping Based on a Stepwise Downscaling Approach Using Multisource Data. Remote Sensing. 2023; 15(7):1947. https://doi.org/10.3390/rs15071947

Citation: Bao W, Gong A, Zhang T, Zhao Y, Li B, Chen S. Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data. Remote Sensing. 2023; 15(2):458. https://doi.org/10.3390/rs15020458

Citation: Kuffer M, Owusu M, Oliveira L, Sliuzas R, van Rijn F. The Missing Millions in Maps: Exploring Causes of Uncertainties in Global Gridded Population Datasets. ISPRS International Journal of Geo-Information. 2022; 11(7):403. https://doi.org/10.3390/ijgi11070403

Citation: Hierink, F., Boo, G., Macharia, P.M. et al. Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa. Commun Med 2, 117 (2022). https://doi.org/10.1038/s43856-022-00179-4

 A major new release of Global Human Settlement Layer (GHSL) data suite was just launched at World Urban Forum-WUF11 and is now freely available online.  

It comprises 10 products, 200+ data sets, and 50k files – among several global innovations are:

Citation: Boo, G., Darin, E., Leasure, D.R. et al. High-resolution population estimation using household survey data and building footprints. Nat Commun 13, 1330 (2022). https://doi.org/10.1038/s41467-022-29094-x