| Literature DB >> 33600720 |
Helmut Haberl1, Dominik Wiedenhofer1, Franz Schug2,3, David Frantz2, Doris Virág1, Christoph Plutzar1,4, Karin Gruhler5, Jakob Lederer6,7, Georg Schiller5, Tomer Fishman8, Maud Lanau9,10, Andreas Gattringer4, Thomas Kemper11, Gang Liu9, Hiroki Tanikawa12, Sebastian van der Linden13, Patrick Hostert2,3.
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.Entities:
Year: 2021 PMID: 33600720 PMCID: PMC7931449 DOI: 10.1021/acs.est.0c05642
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028