High spatial resolution mapping of steel resources accumulated above ground in mainland China: Past trends and future prospects

• Published in: Journal of cleaner production Vol. 297; p. 126482
• Main Authors: Song, Lulu, Dai, Shaoqing, Cao, Zhi, Liu, Yupeng, Chen, Wei-Qiang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.05.2021
• Subjects: China; circular economy; decision making; gross domestic product; In-use stocks; Mainland China; population growth; river deltas; spatial data; Spatiotemporal pattern; Steel; Stocks prediction; Yangtze River; China; Yangtze River; Mainland China; Stocks prediction; In-use stocks; Steel; Spatiotemporal pattern
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2021.126482

High-resolution mapping of steel resources accumulated above ground (referred to as steel stocks) is critical for exploring urban mining and circular economy opportunities. Prior studies have attempted to approximate steel stocks using nighttime light (NTL). Although proven to be a fast estimation t...