DeepSData
Dataset guide · Geospatial & remote sensing

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

This dataset contains three gridded population datasets of Germany at 10m resolution, derived from building density, height, and type using census disaggregation and bottom-up estimates.

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Geospatial & remote sensingFree to access

Key facts

InstitutionFranz Schug, David Frantz, Sebastian van der Linden, Patrick Hostert
CoverageGermany
Time spanBuilding density layer based on Sentinel-2 2018 and Sentinel-1 2017; building height ca. 2015; building types based on Sentinel-2 2018 and Sentinel-1 2017; census data from 2018
Scale7.5 GB
LicenseLicense statement is still being checked
AccessZenodo

Contents & fields

The dataset includes three gridded population datasets (DE_POP_VOLADJ16, DE_POP_TDBP, DE_POP_BU) at 10m resolution, units are people per grid cell. Data are provided in 30x30 km tiles, projection EPSG:3035, format compressed GeoTiff (*.tif) and GDAL Virtual (*.vrt).

  • DE_POP_VOLADJ16—Disaggregated national census counts using weighted dasymetric mapping with building density, height, and type covariates, adjusted volume for multi-family residential buildings
  • DE_POP_TDBP—Best product based on dasymetric mapping of municipal census counts using same three covariate layers
  • DE_POP_BU—Bottom-up gridded population estimate using building density, height, and type to compute living floor area, combined with federal per capita living area statistics

Research uses

Suitable for population distribution modeling, urban and regional planning, environmental health studies, disaster risk assessment, and other research requiring high-resolution population spatial distribution.

Information comes from the source page. Please check that page for current details and terms.

Keywords

Germanygridded populationcensus disaggregationbottom-up estimatebuilding density10m grid

Access & license

License: License statement is still being checked | Free to access

Why this is hard to get on your own

High-resolution population spatial data are difficult to obtain and inconsistent across sources; this dataset provides unified 10m gridded population data.

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