Articles | Volume 15, issue 4
https://doi.org/10.5194/essd-15-1521-2023
https://doi.org/10.5194/essd-15-1521-2023
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

Data sets

An Open-Source Automatic Survey of Green Roofs in London using Segmentation of Aerial Imagery: Dataset Charles Simpson, Oscar Brousse, Nahid Mohajeri, Michael Davies, and Clare Heaviside https://doi.org/10.5281/zenodo.7603123

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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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