Gridded population maps of Germany from disaggregated census data and bottom-up estimates

This dataset features three gridded population dadasets of Germany on a 10m grid. The units are people per grid cell. <strong>Datasets </strong> DE_POP_VOLADJ16: This dataset was produced by disaggregating national census counts to 10m grid cells based on a weighted dasymetric mapping approach. A building density, building height and building type dataset were used as underlying covariates, with an adjusted volume for multi-family residential buildings. DE_POP_TDBP: This dataset is considered a <em>best product</em>, based on a dasymetric mapping approach that disaggregated municipal census counts to 10m grid cells using the same three underyling covariate layers. DE_POP_BU: This dataset is based on a bottom-up gridded population estimate. A building density, building height and building type layer were used to compute a living floor area dataset in a 10m grid. Using federal statistics on the average living floor are per capita, this bottom-up estimate was created. Please refer to the related publication for details. <strong>Temporal extent</strong> The building density layer is based on Sentinel-2 time series data from 2018 and Sentinel-1 time series data from 2017 (doi: http://doi.org/10.1594/PANGAEA.920894) The building height layer is representative for ca. 2015 (doi: 10.5281/zenodo.4066295) The building types layer is based on Sentinel-2 time series data from 2018 and Sentinel-1 time series data from 2017 (doi: 10.5281/zenodo.4601219) The underlying census data is from 2018. <strong>Data format</strong> The data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. <strong>Further information</strong> For further information, please see the publication or contact Franz Schug ([e-mail]).<br> A web-visualization of this dataset is available here. <strong>Publication</strong> Schug, F., Frantz, D., van der Linden, S., &amp; Hostert, P. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLOS ONE. DOI: 10.1371/journal.pone.0249044 <strong>Acknowledgements</strong> Census data were provided by the German Federal Statistical Offices. <strong>Funding</strong><br> This dataset was produced with funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).