Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the roadmap for reducing the carbon footprint of cities. However, research on sustainable urban roofscapes is rather focused on their potential and it is hindered by the scarcity of data, limiting our understanding of their current content, spatial distribution, and temporal evolution. To tackle this issue, we introduce Roofpedia, a set of three contributions: (i) automatic mapping of relevant urban roof typology from satellite imagery; (ii) an open roof registry mapping the spatial distribution and area of solar and green roofs of more than one million buildings across 17 cities; and (iii) the Roofpedia Index, a derivative of the registry, to benchmark the cities by the extent of sustainable roofscape in term of solar and green roof penetration. This project, partly inspired by its street greenery counterpart `Treepedia', is made possible by a multi-step pipeline that combines deep learning and geospatial techniques, demonstrating the feasibility of an automated methodology that generalises successfully across cities with an accuracy of detecting sustainable roofs of up to 100% in some cities. We offer our results as an interactive map and open dataset so that our work could aid researchers, local governments, and the public to uncover the pattern of sustainable rooftops across cities, track and monitor the current use of rooftops, complement studies on their potential, evaluate the effectiveness of existing incentives, verify the use of subsidies and fulfilment of climate pledges, estimate carbon offset capacities of cities, and ultimately support better policies and strategies to increase the adoption of instruments contributing to the sustainable development of cities.
翻译:可持续屋顶,如绿色和光伏板板,有助于制定减少城市碳足迹的路线图;然而,关于可持续城市屋顶景观的研究相当侧重于其潜力,受到数据稀缺、限制我们对其当前内容、空间分布和时间演变的理解的阻碍;为解决这一问题,我们引入了一套由三种贡献组成的可持续屋顶,即Roofpedia,由三者贡献组成:(一) 从卫星图像中自动绘制相关城市屋顶类型图;(二) 开放屋顶登记册,绘制17个城市100多万座建筑物的空间分布和面积;以及(三) Rofpedia 索引,这是该登记册的衍生物,以在太阳能和绿色屋顶渗透方面以可持续屋顶景观的程度衡量城市。 这个项目的部分灵感来自街道绿色对应物“Trepedia”的多步管道,该管道结合了深层学习和地理空间技术,展示了一种自动化方法的可行性,该自动化方法在17个城市中成功地概括了太阳能和绿色屋顶的空间分布和面积,准确测量到某些城市100 %的可持续屋顶;以及(三)Rofpedia Inde)指数,作为登记册的衍生物,我们的成果,用以衡量城市在太阳能渗透和开放工具方面,从而最终地评估了我们如何评估了城市使用其目前的指标,从而可以监测其目前的指标,从而更新城市使用。