Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 4
Articles | Volume 15, issue 4
https://doi.org/10.5194/essd-15-1521-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-1521-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 4
Data description paper
 | 
04 Apr 2023
Data description paper |  | 04 Apr 2023

An open-source automatic survey of green roofs in London using segmentation of aerial imagery

Charles H. Simpson, Oscar Brousse, Nahid Mohajeri, Michael Davies, and Clare Heaviside

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Latest update: 20 Nov 2024
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Short summary
Adding plants to roofs of buildings can reduce indoor and outdoor temperatures and so can reduce urban overheating, which is expected to increase due to climate change and urban growth. To better understand the effect this has on the urban environment, we need data on how many buildings have green roofs already. We used a computer vision model to find green roofs in aerial imagery in London, producing a dataset identifying what buildings have green roofs and improving on previous methods.
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