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- W3130276205 abstract "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 high-resolution 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." @default.
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- W3130276205 date "2021-02-18" @default.
- W3130276205 modified "2023-10-18" @default.
- W3130276205 title "High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany" @default.
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- W3130276205 doi "https://doi.org/10.1021/acs.est.0c05642" @default.
- W3130276205 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7931449" @default.
- W3130276205 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33600720" @default.
- W3130276205 hasPublicationYear "2021" @default.
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