Abstrakti
Urbanisation can modify the local climate, increasing the temperature of cities compared to rural areas. This phenomenon is known as the Urban Heat Island (UHI), and this paper introduces a methodology to investigate the spatial variability of air and surface temperatures across London. In particular, this study aims to investigate if a widely used spatial resolution (1 km) is appropriate for heat-related health risk studies. Data from vehicle-transect and ASTER thermal images were overlaid on a reference grid of 1 km, used by UHI simulation models. The results showed higher variability of air temperature within some specific modelled grid cells in the city centre, while surface temperatures presented higher variability in the London borders. This investigation suggests that LST has larger variation levels and more grid cells with sub-grid variation above 1°C compared to air temperature measurements.
Alkuperäiskieli | Englanti |
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Otsikko | 2017 Joint Urban Remote Sensing Event, JURSE 2017 |
Kustantaja | IEEE |
ISBN (elektroninen) | 9781509058082 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 10 toukok. 2017 |
Julkaistu ulkoisesti | Kyllä |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | 2017 Joint Urban Remote Sensing Event, JURSE 2017 - Dubai, Yhdistyneet arabiemiirikunnat Kesto: 6 maalisk. 2017 → 8 maalisk. 2017 |
Julkaisusarja
Nimi | 2017 Joint Urban Remote Sensing Event, JURSE 2017 |
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Conference
Conference | 2017 Joint Urban Remote Sensing Event, JURSE 2017 |
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Maa/Alue | Yhdistyneet arabiemiirikunnat |
Kaupunki | Dubai |
Ajanjakso | 6/03/17 → 8/03/17 |
Rahoitus
The LUCID project was funded by an Engineering and Physical Sciences Research Council (EPSRC) grant (EP/E016375/1).
!!ASJC Scopus subject areas
- Signal Processing
- Urban Studies
- Management, Monitoring, Policy and Law
- Instrumentation