Can Green Roofs Decarbonize the Cities? An Artificial Vision-Driven Approach to Calculating their Potential
[EN] Green roofs (GRs) arise as an innovative nature-based solution with significant potential to enhance urban sustainability by improving air quality and mitigating climate change through COQ sequestration. However, large-scale implementation in urban contexts requires rigorous analysis to identif...
| Autores: | , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/230581 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/230581 |
| Access Level: | acceso abierto |
| Palavra-chave: | Green roof Nature-Based Solutions Georeferenced images Artificial Vision CO2 sequestration Cities decarbonization Urban context. |
| Resumo: | [EN] Green roofs (GRs) arise as an innovative nature-based solution with significant potential to enhance urban sustainability by improving air quality and mitigating climate change through COQ sequestration. However, large-scale implementation in urban contexts requires rigorous analysis to identify surfaces suitable for installation and quantify associated environmental benefits. This study proposes a novel automated methodology that combines artificial vision techniques and geospatial analysis, using MATLAB and QGIS to integrate aerial images, altimetric LiDAR data and cadastral sources to identify suitable rooftop areas for GR installation regardless of building typology, and their corresponding COQ emissions sequestration. The methodology considers slope, structural conditions, and area availability, ensuring a scalable and replicable approach. When applied to Valencia (Spain), the results indicate that 34 % of the city's total rooftop area (6.2 million m2) is suitable for including GRs, with residential buildings accounting for 71 % of the identified potential. GRs in Valencia are estimated to sequester up to 19,507 tons of COQ annually, with Poblats Mar & iacute;tims and Quatre Carreres emerging as the districts with the highest potential. This study emphasises the importance of GRs in quantifying their carbon capture potential and planning their integration into sustainable urban development in cities. |
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