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作者

Huamei Shao;Peihao Song;Bo Mu;Guohang Tian;Qian Chen;Ruizhen He;Gunwoo Kim

来源

URBAN FORESTRY & URBAN GREENING,Vol.57,Issue1,Article 126954

语言

英文

关键字

China;City-scale;Green roof;Green spaces;Roof spatial resources;Unmanned Aerial Vehicle (UAV)

作者单位

College of Forestry, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, China;College of Resources and Environmental Sciences, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, China;Department of Food, Agricultural, and Biological Engineering, The Ohio State University, 590 Woody Hayes Dr., Columbus, OH 43210, USA;Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea;College of Forestry, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, China;College of Resources and Environmental Sciences, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, China;Department of Food, Agricultural, and Biological Engineering, The Ohio State University, 590 Woody Hayes Dr., Columbus, OH 43210, USA;Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea

摘要

While green roofs have been deemed promising in mitigating environmental issues caused by rapid urban development, city-scale green roof studies have faced various obstacles, especially difficulties in obtaining accurate data for analysis. This study developed a new, cost-effective approach to assessing green roof development potential by using ultra-high-resolution (UHR) (0.09 m) Unmanned Aerial Vehicle (UAV) imagery in a case study site (Central Luohe with an area of 158 km2) in China. Specifically, the data was processed, interpreted, and classified to create highly accurate land-use and building roof spatial resources databases. A decision-making flowchart was developed for preliminary determination of a building stock’s suitability for green roof implementation and the preferred type based on the five influencing factors and building roof classification. Subsequently, a two-stage strategy for large-scale green roof development was proposed. The approach demonstrated in this research greatly improves the accuracy of city-scale studies on roof spatial resources and enables better planning and development of urban green spaces at the local level.