High-Resolution Mapping of the Urban Built Environment Stocks in Beijing

Improving our comprehension of the weight and spatial distribution of urban built environment stocks is essential for informing urban resource, waste, and environmental management, but this is often hampered by inaccuracy and inconsistency of the typology and material composition data of buildings a...

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Veröffentlicht in:	Environmental science & technology 2020-05, Vol.54 (9), p.5345-5355
Hauptverfasser:	Mao, Ruichang, Bao, Yi, Huang, Zhou, Liu, Qiance, Liu, Gang
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Buildings Built environment City centres Composition Construction materials Correlation analysis Data analysis Data mining Environmental management Greenhouse effect Greenhouse gases High resolution Infrastructure Mapping Resource management Social factors Socioeconomic data Socioeconomic factors Socioeconomics Spatial distribution Typology Urban areas Urban environments Urban planning Urban sprawl Waste management
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