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Published February 11, 2021 | Version v. 1.0
Dataset Open

Material stock map of Germany

  • 1. University of Natural Resources and Life Sciences Vienna, Institute of Social Ecology
  • 2. Humboldt-Universität zu Berlin
  • 3. Leibnitz Association, Leibniz Institute of Ecological Urban and Regional Development
  • 4. TU Wien, Ior Water quality and Resource management
  • 5. School of Sustainability, Interdisciplinary Center (IDC) Herzliya
  • 6. The University of Sheffield, Dept. of Civil and Structural Engineering
  • 7. University of Vienna, Dept. of Botany and Biodiversity Research
  • 8. European Commission Joint Research Centre Ispra Sector
  • 9. Syddansk Universitet
  • 10. Nagoya University, Department of Environmental Engineering and Architecture in the Graduate School of Environmental Studies
  • 11. Universität Greifswald, Institut für Geographie und Geologie

Description

Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures.

This dataset features a detailed map of material stocks for the whole of Germany on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.

Temporal extent
The map is representative for ca. 2018.

Data format
Per federal state, 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. 

The dataset features

  • area and mass for different street types
  • area and mass for different rail types
  • area and mass for other infrastructure
  • area, volume and mass for different building types

Masses are reported as total values, and per material category.

Units

  • area in m²
  • height in m
  • volume in m³
  • mass in t for infrastructure and buildings

Further information
For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).
A web-visualization of this dataset is available here.
Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.

Publication
Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology

Funding
This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.

Files

material_stocks_germany.zip

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Additional details

Related works

Is supplement to
10.5281/zenodo.4522892 (DOI)

Funding

MAT_STOCKS – Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society 741950
European Commission