Mullerova, Daniela and Williams, Meredith ORCID: 0000-0003-1919-4389 (2019) Satellite monitoring of thermal performance in smart urban designs. Remote Sensing, 11 (19). p. 2244. ISSN 2072-4292 (doi:https://doi.org/10.3390/rs11192244)

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Abstract

Climate change amplified by rapidly increasing urbanization is resulting in rising temperatures within urban environments. In recent years, to mitigate this the design and construction of new buildings has emphasized “smart” methods and materials for individual buildings rather than landscape-level planning and evaluation of new developments. Remote Sensing potentially offers a cost-effective means to monitor effectiveness of landscape-level urban design and guide developers to improve thermal regimes. This paper focuses on satellite monitoring of thermal variation in the area of London most affected by construction in 2010–2015. Split-window Land Surface Temperature (LST) models were applied to ASTER and Landsat 8 satellite imagery, requiring separate investigation of thermal trends due to temporal inconsistency. Getis-Ord-Gi* cluster analysis of the ASTER image identified three main thermal hot spots: Eastern, Stratford railway/underground station, and Stratford High Street. It is assumed that increased thermal stress within these areas is mainly from anthropogenic heat. However, local thermal variations for Eastern Olympic Village are attributed to changing meteorological conditions, facade materials, canyon morphology and orientation, or insufficient shading and ventilation. Future development of a new cultural hub at this location will significantly affect distribution of green spaces and influence their cooling ability.

Item Type:	Article
Uncontrolled Keywords:	London, LST, UHI, split-window, sustainable urban development, thermal spatial patterns, ASTER, TIRS
Subjects:	Q Science > QD Chemistry T Technology > TA Engineering (General). Civil engineering (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Science (SCI)
Last Modified:	01 Oct 2019 09:26
URI:	http://gala.gre.ac.uk/id/eprint/25299

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