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| Autori principali: | , , , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
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2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2509.25096 |
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| _version_ | 1866909814870769664 |
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| author | Fork, David Wesley, Elizabeth Jane Banerjee, Salil Batchu, Vishal Chennapragada, Aniruddh Crossan, Kevin Cronkite-Ratcliff, Bryce Delich, Ellie Goulden, Tristan Kansal, Mansi Kemp, Jonas Mackres, Eric Mayer, Yael Milman, Becca Platt, John C. Prabhakara, Shruthi Prasad, Gautam Shetty, Shravya Stanton, Charlotte Sun, Wayne Hutyra, Lucy R. |
| author_facet | Fork, David Wesley, Elizabeth Jane Banerjee, Salil Batchu, Vishal Chennapragada, Aniruddh Crossan, Kevin Cronkite-Ratcliff, Bryce Delich, Ellie Goulden, Tristan Kansal, Mansi Kemp, Jonas Mackres, Eric Mayer, Yael Milman, Becca Platt, John C. Prabhakara, Shruthi Prasad, Gautam Shetty, Shravya Stanton, Charlotte Sun, Wayne Hutyra, Lucy R. |
| contents | Implementation of cool roofs is a high-impact pathway for mitigating heat at both global and city scales. However, while albedo estimates derived from Sentinel-2 are free and globally-available, the 10 m resolution is insufficient to resolve individual roofs. We present methods for increasing the resolution of Sentinel-2 albedo using high-resolution satellite imagery to produce albedo inferences at a 30-cm scale. Validating against high-resolution aerial albedo measurements over Boulder, CO we find improved precision and accuracy relative to Sentinel-2 with an RMSE of 0.04. Applying these methods to 12 global cities, we evaluate the impacts of three cool roof implementation scenarios. We find that cities can see up to a 0.5°C cooling effect from full scale implementation of cool roofs and prioritizing the largest buildings for implementation is a highly effective policy pathway. While Sentinel-2 produces accurate estimates of albedo change at larger scales, high-resolution inferences are required for prioritizing buildings based on their solar radiation management potential. This research demonstrates a scalable implementation of targeted cool roof interventions in neighborhoods with the greatest potential for heat mitigation by enabling actionable, building-level insights. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_25096 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Estimating high-resolution albedo for urban applications Fork, David Wesley, Elizabeth Jane Banerjee, Salil Batchu, Vishal Chennapragada, Aniruddh Crossan, Kevin Cronkite-Ratcliff, Bryce Delich, Ellie Goulden, Tristan Kansal, Mansi Kemp, Jonas Mackres, Eric Mayer, Yael Milman, Becca Platt, John C. Prabhakara, Shruthi Prasad, Gautam Shetty, Shravya Stanton, Charlotte Sun, Wayne Hutyra, Lucy R. Geophysics Implementation of cool roofs is a high-impact pathway for mitigating heat at both global and city scales. However, while albedo estimates derived from Sentinel-2 are free and globally-available, the 10 m resolution is insufficient to resolve individual roofs. We present methods for increasing the resolution of Sentinel-2 albedo using high-resolution satellite imagery to produce albedo inferences at a 30-cm scale. Validating against high-resolution aerial albedo measurements over Boulder, CO we find improved precision and accuracy relative to Sentinel-2 with an RMSE of 0.04. Applying these methods to 12 global cities, we evaluate the impacts of three cool roof implementation scenarios. We find that cities can see up to a 0.5°C cooling effect from full scale implementation of cool roofs and prioritizing the largest buildings for implementation is a highly effective policy pathway. While Sentinel-2 produces accurate estimates of albedo change at larger scales, high-resolution inferences are required for prioritizing buildings based on their solar radiation management potential. This research demonstrates a scalable implementation of targeted cool roof interventions in neighborhoods with the greatest potential for heat mitigation by enabling actionable, building-level insights. |
| title | Estimating high-resolution albedo for urban applications |
| topic | Geophysics |
| url | https://arxiv.org/abs/2509.25096 |