Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1109/TGRS.2024.3378287 |
| Document | accepted manuscript |
| Title (Primary) | Remote sensing-based attribution of urban heat islands to the drivers of heat |
| Author | Guo, F.
; Hertel, D.; Schlink, U.
; Hu, D.; Qian, J.; Wu, W. |
| Source Titel | IEEE Transactions on Geoscience and Remote Sensing |
| Year | 2024 |
| Department | SUSOZ |
| Volume | 62 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Data and Software links | https://doi.org/10.5281/zenodo.4417810 |
| Keywords | Remote sensing; Surface energy balance; Urban heat island; Evapotranspiration; Google Earth Engine; Urban adaptation |
| Abstract | As cities grow and develop, more natural landscapes are transformed into heat-absorbing surfaces, further exacerbating urban heat island (UHI) effect. To seek efficient strategies for UHI mitigation, it requires a good knowledge on the driving mechanisms of heat. Based on surface energy balance, this study decomposed surface UHI (SUHI) in terms of five biophysical drivers (radiation, anthropogenic heat, convection, evapotranspiration and heat storage), and applied the approach in Beijing using remote sensing images on Google Earth Engine. The SUHI intensity, calculated by combining the contribution terms, and the observed SUHI through Landsat 8 land surface temperature product, are in good agreement, with the root-mean square error 0.776 K and the coefficient of determination 0.947. Besides building morphological blocks, it’s the changes of the evapotranspiration term (a function to Bowen ratio, which describes the capacity of urban and rural surface to evaporate water), that controls the spatial variations of SUHI intensity during summer. For instance, in low-rise and high-density regions which exhibit a strong SUHI effect, the above five contribution terms were 0.03 K, 0.44 K, -0.74 K, 1.35 K, and -0.08 K on average, respectively. In comparison to building height, building density stronger affects the SUHI contribution terms. Based on the results, strategies of reducing the Bowen ratio, such as green spaces, cool roofs, and open building layouts, are recommended. The findings and suggestions refer to a particular city and season. Further experiments and research should be carried out for a deeper understanding of the driving mechanism of SUHI. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28936 |
| Guo, F., Hertel, D., Schlink, U., Hu, D., Qian, J., Wu, W. (2024): Remote sensing-based attribution of urban heat islands to the drivers of heat IEEE Trans. Geosci. Remote Sensing 62 10.1109/TGRS.2024.3378287 |
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