The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data

Rochelle Schneider Dos Santos; Jonathon Taylor; Michael Davies; Anna Mavrogianni; James Milner

doi:10.1109/JURSE.2017.7924613

The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data

Rochelle Schneider Dos Santos, Jonathon Taylor, Michael Davies, Anna Mavrogianni, James Milner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2017 Joint Urban Remote Sensing Event, JURSE 2017
Publisher	IEEE
ISBN (Electronic)	9781509058082
DOIs	https://doi.org/10.1109/JURSE.2017.7924613
Publication status	Published - 10 May 2017
Externally published	Yes
Publication type	A4 Article in conference proceedings
Event	2017 Joint Urban Remote Sensing Event, JURSE 2017 - Dubai, United Arab Emirates Duration: 6 Mar 2017 → 8 Mar 2017

Publication series

Name	2017 Joint Urban Remote Sensing Event, JURSE 2017

Conference

Conference	2017 Joint Urban Remote Sensing Event, JURSE 2017
Country/Territory	United Arab Emirates
City	Dubai
Period	6/03/17 → 8/03/17

Funding

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/JURSE.2017.7924613

Cite this

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title = "The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data",

abstract = "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.",

author = "{Dos Santos}, {Rochelle Schneider} and Jonathon Taylor and Michael Davies and Anna Mavrogianni and James Milner",

year = "2017",

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language = "English",

series = "2017 Joint Urban Remote Sensing Event, JURSE 2017",

publisher = "IEEE",

booktitle = "2017 Joint Urban Remote Sensing Event, JURSE 2017",

address = "United States",

note = "2017 Joint Urban Remote Sensing Event, JURSE 2017 ; Conference date: 06-03-2017 Through 08-03-2017",

}

Dos Santos, RS, Taylor, J, Davies, M, Mavrogianni, A & Milner, J 2017, The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data. in 2017 Joint Urban Remote Sensing Event, JURSE 2017., 7924613, 2017 Joint Urban Remote Sensing Event, JURSE 2017, IEEE, 2017 Joint Urban Remote Sensing Event, JURSE 2017, Dubai, United Arab Emirates, 6/03/17. https://doi.org/10.1109/JURSE.2017.7924613

The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data. / Dos Santos, Rochelle Schneider; Taylor, Jonathon; Davies, Michael et al.
2017 Joint Urban Remote Sensing Event, JURSE 2017. IEEE, 2017. 7924613 (2017 Joint Urban Remote Sensing Event, JURSE 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data

AU - Dos Santos, Rochelle Schneider

AU - Taylor, Jonathon

AU - Davies, Michael

AU - Mavrogianni, Anna

AU - Milner, James

PY - 2017/5/10

Y1 - 2017/5/10

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:85020236643

T3 - 2017 Joint Urban Remote Sensing Event, JURSE 2017

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T2 - 2017 Joint Urban Remote Sensing Event, JURSE 2017

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The variation of air and surface temperatures in London within a 1km grid using vehicle-transect and ASTER data

Abstract

Publication series

Conference

Funding

ASJC Scopus subject areas

UN SDGs

Access to Document

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