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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    <dct:title>Material stock map of Austria</dct:title>
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    <dcat:keyword>Austria</dcat:keyword>
    <dcat:keyword>Remote Sensing</dcat:keyword>
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    <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>
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    <dct:description>&lt;p&gt;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&amp;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&amp;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&amp;nbsp;mobility networks, urbanization and settlement patterns and various other infrastructures.&lt;/p&gt; &lt;p&gt;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.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Temporal extent&lt;/strong&gt;&lt;br&gt; The map is representative for ca. 2018.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Data format&lt;/strong&gt;&lt;br&gt; 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.&amp;nbsp;&lt;/p&gt; &lt;p&gt;The dataset features&lt;/p&gt; &lt;ul&gt; &lt;li&gt;area and mass for different street types&lt;/li&gt; &lt;li&gt;area and mass for different rail types&lt;/li&gt; &lt;li&gt;area and mass for other infrastructure&lt;/li&gt; &lt;li&gt;area, volume and mass for different&amp;nbsp;building types&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Masses are reported as total values, and per material category.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Units&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;area&amp;nbsp;in m&amp;sup2;&lt;/li&gt; &lt;li&gt;height in m&lt;/li&gt; &lt;li&gt;volume in m&amp;sup3;&lt;/li&gt; &lt;li&gt;mass in t/m&amp;sup2; for infrastructure&lt;/li&gt; &lt;li&gt;mass in t/m&amp;sup3;&amp;nbsp;for buildings&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Further information&lt;/strong&gt;&lt;br&gt; For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).&lt;br&gt; A web-visualization of this dataset is available&amp;nbsp;&lt;a href="https://ows.geo.hu-berlin.de/webviewer/stocks/index.html"&gt;here&lt;/a&gt;.&lt;br&gt; Visit our &lt;a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks"&gt;website&lt;/a&gt; to learn more about our project MAT_STOCKS -&amp;nbsp;Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Publication&lt;/strong&gt;&lt;br&gt; Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Vir&amp;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;amp; Technology&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Funding&lt;/strong&gt;&lt;br&gt; This research was primarly funded by&amp;nbsp;the European Research Council (ERC) under the&amp;nbsp;European Union&amp;rsquo;s Horizon 2020 research and innovation programme (MAT_STOCKS, grant&amp;nbsp;agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund&amp;nbsp;Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences&amp;nbsp;Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential&amp;nbsp;Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and&amp;nbsp;Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation&amp;nbsp;grant no. 2706/19.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;</dct:description>
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