Gridded population estimates for Ukraine using UN COD-PS estimates 2020, version 2.0

These data were produced by WorldPop at the University of Southampton and the ‘Smart Cities and Spatial Development’ team at the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR). These data include gridded estimates of population at approximately 100m and 1km resolution for 2020, along with estimates of the number of people belonging to individual age-sex groups. These results were produced using subnational population estimates for Ukraine in 2020 provided in the Common Operational Dataset on Population Statistics (COD-PS) and building height/area/fraction/volume covariates extracted from the World Settlement Footprint (WSF) imperviousness and WSF-3D by DLR. The constrained top-down disaggregation method was used to produce the datasets. The modelling work and geospatial data processing was led by Bondarenko M., Palacios-Lopez D., Sorichetta A., Leasure D.R., ,Zeidler J., Marconcini M., and Esch T.. Oversight was provided by Tatem A.J. Internal WorldPop peer reviews that helped to improve the results and documentation was provided by Lazar A.N..

本数据集由南安普顿大学WorldPop研究团队，与德国航空航天中心（German Aerospace Center, DLR）下属德国遥感数据中心（German Remote Sensing Data Center, DFD）的“智慧城市与空间发展”团队联合研发产出。本数据集包含2020年分辨率约100米与1千米的格网化人口估算数据，同时涵盖按单一年龄-性别分组的人口数量估算结果。本次数据成果的生成依托两部分基础数据：其一为乌克兰2020年次国家级人口估算数据，该数据取自《人口统计通用业务数据集（Common Operational Dataset on Population Statistics, COD-PS）》；其二为德国遥感数据中心（DFD）从全球居民地足迹（World Settlement Footprint, WSF）不透水面数据及WSF-3D数据中提取的建筑高度、面积、占比、体积等协变量。本数据集采用约束性自上而下人口空间分解法完成制作。建模与地理空间数据处理工作由Bondarenko M.、Palacios-Lopez D.、Sorichetta A.、Leasure D.R.、Zeidler J.、Marconcini M.及Esch T.主导，由Tatem A.J.负责监督。WorldPop内部的同行评审工作由Lazar A.N.完成，该评审助力优化了本次数据成果与相关文档说明。