Published February 18, 2021 | Version v1
Journal article Open

High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany

  • 1. Institute of Social Ecology, Department of Economics and Social Sciences (WiSo), University of Natural Resources & Life Sciences, Vienna (BOKU)
  • 2. Geography Department, Humboldt Universität zu Berlin, 10099 Berlin, Germany; Integrative Research Institute on Transformations of Human-Environment Systems, Humboldt Universität zu Berlin, 10099 Berlin, Germany
  • 3. Geography Department, Humboldt Universität zu Berlin, 10099 Berlin, Germany
  • 4. Leibniz Institute of Ecological Urban and Regional Development, D-01217 Dresden, Germany
  • 5. Institute for Water Quality and Resource Management, TU Wien, A-1040 Wien, Austria; Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, A-1060 Wien, Austria
  • 6. School of Sustainability, Interdisciplinary Center (IDC) Herzliya, 4610101 Herzliya, Israel
  • 7. Department of Botany and Biodiversity Research, University of Vienna, 1030 Wien, Austria
  • 8. European Commission, Joint Research Centre, 21027 Ispra, VA, Italy
  • 9. Department of Environmental Engineering and Architecture in the Graduate School of Environmental Studies, Nagoya University, 464-8601 Nagoya, Japan
  • 10. Institut für Geographie und Geologie, Universität Greifswald, D-17489 Greifswald, Germany
  • 11. Geography Department, Humboldt Universität zu Berlin, 10099 Berlin, Germany; Integrative Research Institute on Transformations of Human- Environment Systems, Humboldt Universität zu Berlin, 10099 Berlin, Germany

Description

The dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Two main types of data are currently used to map stocks, night-time lights (NTL) from Earth-observing (EO) satellites and cadastral information. We present an alternative approach for broad-scale material stock mapping based on freely available highresolution EO imagery and OpenStreetMap data. Maps of built-up surface area, building height, and building types were derived from optical Sentinel-2 and radar Sentinel-1 satellite data to map patterns of material stocks for Austria and Germany. Using material intensity factors, we calculated the mass of different types of buildings and infrastructures, distinguishing eight types of materials, at 10 m spatial resolution. The total mass of buildings and infrastructures in 2018 amounted to ∼5 Gt in Austria and ∼38 Gt in Germany (AT: ∼540 t/cap, DE: ∼450 t/cap). Cross-checks with independent data sources at various scales suggested that the method may yield more complete results than other data sources but could not rule out possible overestimations. The method yields thematic differentiations not possible with NTL, avoids the use of costly cadastral data, and is suitable for mapping larger areas and tracing
trends over time.

Files

EST Haberl Wiedenhofer et al 2021 SI mapping stocks.pdf

Additional details

Related works

Funding

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