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

Citation: MacManus, K., Balk, D., Engin, H., McGranahan, G., and Inman, R.: Estimating Population and Urban Areas at Risk of Coastal Hazards, 1990–2015: How data choices matter, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-165, in review, 2021

Citation: Yin, Xu, Peng Li, Zhiming Feng, Yanzhao Yang, Zhen You, and Chiwei Xiao. 2021. "Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)" ISPRS International Journal of Geo-Information 10, no. 10: 681. https://doi.org/10.3390/ijgi10100681

Citation: Tuholske, Cascade, Andrea E. Gaughan, Alessandro Sorichetta, Alex de Sherbinin, Agathe Bucherie, Carolynne Hultquist, Forrest Stevens, Andrew Kruczkiewicz, Charles Huyck, and Greg Yetman. 2021. "Implications for Tracking SDG Indicator Metrics with Gridded Population Data" Sustainability 13, no. 13: 7329. https://doi.org/10.3390/su13137329

Citation: Chen, R., Yan, H., Liu, F., Du, W., & Yang, Y. (2020). "Multiple Global Population Datasets: Differences and Spatial Distribution Characteristics." ISPRS International Journal of Geo-Information 9(11): 637, https://doi.org/10.3390/ijgi9110637

Two recent papers evaluate the accuracy of global gridded population data products against reference data sets. The first paper, published in Population and Environment, conducts a pixel level evaluation of population counts across space (different levels of urbanization) and time.