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緑の屋根の健康状態を空中写真で解析(Bird’s eye view: U of T study uses aerial imagery to gauge health of city’s green roofs)

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2025-10-20 トロント大学

トロント大学ジョン・H・ダニエルズ建築・景観・デザイン学部の研究チームは、航空リモートセンシング技術を用いて2011〜2018年に撮影された約1500件の屋上緑化の植生データを解析し、トロント市のグリーンルーフの健全性を評価した。結果、多くの屋上で植生の密度と健康状態が経年的に改善しており、特にセダム類を用いた屋上で良好な維持傾向が見られた。一方、高層建物上や細長い形状の屋上では劣化が進みやすいことも判明。研究は自然科学工学研究会議(NSERC)の支援を受け、『Nature Cities』誌に掲載された。成果は、都市の洪水抑制、ヒートアイランド低減、生物多様性向上など、今後の屋上緑化設計や都市環境政策の改善に重要な指針を与える。

緑の屋根の健康状態を空中写真で解析(Bird’s eye view: U of T study uses aerial imagery to gauge health of city’s green roofs)
An aerial view of the green roof at One Spadina, which houses U of T’s  John H. Daniels Faculty of Architecture, Landscape, and Design (photo by David Lee)

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緑化屋根の健全な植生のためのリモートセンシング Remote sensing for healthy vegetation on green roofs

Wenxi Liao,Madison Appleby,Howard Rosenblat,Md. Abdul Halim,Cheryl A. Rogers,Jing M. Chen,Liat Margolis,Jennifer A. P. Drake & Sean C. Thomas
Nature Cities  Published:08 October 2025
DOI:https://doi.org/10.1038/s44284-025-00331-w

Abstract

Green roofs have been increasingly implemented in cities globally to enhance urban ecosystem services. However, temporal trends in green roof vegetation health and the effects of design considerations at a large scale remain unclear. Here we used very high-resolution multispectral remote sensing imagery to quantify the temporal changes in vegetation health and associated roof characteristics across 1,380 individual green roof units in Toronto from 2011 to 2018. Results show an average increase in vegetation health and a decline in vegetation patchiness as green roofs age. We identify unit area, building height and vegetation type as the primary roof characteristics influencing vegetation health, with area positively and building height inversely affecting vegetation health. In terms of vegetation type, sedum mats are generally healthier than woody plants and grasses. Additionally, we identify critical thresholds in roof characteristics that support sustained vegetation health. These findings present a robust analytical framework for the long-term assessment and design optimization of green roofs in complex urban environments.

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