Dataset Open Access
Material stock map of Austria
Haberl, Helmut; Wiedenhofer, Dominik; Schug, Franz; Frantz, David; Virag, Doris; Plutzar, Christoph; Gruhler, Karin; Lederer, Jakob; Schiller, Georg; Fishman, Tomer; Lanau, Maud; Gattringer, Andreas; Kemper, Thomas; Liu, Gang; Tanikawa, Hiroki; van der Linden, Sebastian; Hostert, Patrick
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<dcat:keyword>Remote Sensing</dcat:keyword>
<dcat:keyword>Geoinformatics</dcat:keyword>
<dcat:keyword>Industrial Ecology</dcat:keyword>
<dcat:keyword>Socio-Economic Metabolism</dcat:keyword>
<dcat:keyword>Stock-Flow-Service Nexus</dcat:keyword>
<dcat:keyword>Sustainability</dcat:keyword>
<dcat:keyword>Built-up</dcat:keyword>
<dcat:keyword>City</dcat:keyword>
<dcat:keyword>Street</dcat:keyword>
<dcat:keyword>Infrastructure</dcat:keyword>
<dcat:keyword>Mass</dcat:keyword>
<dcat:keyword>Copernicus</dcat:keyword>
<dcat:keyword>Sentinel-1</dcat:keyword>
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<dct:description><p>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&nbsp;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&nbsp;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&nbsp;mobility networks, urbanization and settlement patterns and various other infrastructures.</p> <p>This dataset features a detailed map of material stocks for the whole of Austria on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.</p> <p><strong>Temporal extent</strong><br> The map is representative for ca. 2018.</p> <p><strong>Data format</strong><br> 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.&nbsp;</p> <p>The dataset features</p> <ul> <li>area and mass for different street types</li> <li>area and mass for different rail types</li> <li>area and mass for other infrastructure</li> <li>area, volume and mass for different&nbsp;building types</li> </ul> <p>Masses are reported as total values, and per material category.</p> <p><strong>Units</strong></p> <ul> <li>area&nbsp;in m&sup2;</li> <li>height in m</li> <li>volume in m&sup3;</li> <li>mass in t/m&sup2; for infrastructure</li> <li>mass in t/m&sup3;&nbsp;for buildings</li> </ul> <p><strong>Further information</strong><br> For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).<br> A web-visualization of this dataset is available&nbsp;<a href="https://ows.geo.hu-berlin.de/webviewer/stocks/index.html">here</a>.<br> Visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website</a> to learn more about our project MAT_STOCKS -&nbsp;Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</p> <p><strong>Publication</strong><br> Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Vir&aacute;g, 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 &amp; Technology</p> <p><strong>Funding</strong><br> This research was primarly funded by&nbsp;the European Research Council (ERC) under the&nbsp;European Union&rsquo;s Horizon 2020 research and innovation programme (MAT_STOCKS, grant&nbsp;agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund&nbsp;Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences&nbsp;Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential&nbsp;Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and&nbsp;Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation&nbsp;grant no. 2706/19.</p> <p>&nbsp;</p></dct:description>
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<dct:title>Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society</dct:title>
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| All versions | This version | |
|---|---|---|
| Views | 496 | 496 |
| Downloads | 59 | 59 |
| Data volume | 821.5 GB | 821.5 GB |
| Unique views | 419 | 419 |
| Unique downloads | 44 | 44 |
Indexed in
- Publication date:
- February 8, 2021
- DOI:
-
- Keyword(s):
- Austria Remote Sensing Geoinformatics Industrial Ecology Socio-Economic Metabolism Stock-Flow-Service Nexus Sustainability Built-up City Street Infrastructure Mass Copernicus Sentinel-1 Sentinel-2 OpenStreetMap Map
- Published in:
- Environmental Science & Technology:.
- Grants:
-
European Commission:
- MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society (741950)
- License (for files):
- Creative Commons Attribution 4.0 International