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Opposing land surface and air temperatures from remote sensing and Citizen Science for quantification of the Urban Heat Island effect

Leichtle, Tobias and Helgert, Sophia Kristin and Müller, Matthias and Handschuh, Jana and Erbertseder, Thilo and Wurm, Michael and Taubenböck, Hannes (2023) Opposing land surface and air temperatures from remote sensing and Citizen Science for quantification of the Urban Heat Island effect. In: 2023 Joint Urban Remote Sensing Event, JURSE 2023, pp. 1-4. IEEE. 2023 Joint Urban Remote Sensing Event (JURSE), 17-19 May 2023, Heraklion, Greece. doi: 10.1109/JURSE57346.2023.10144135. ISBN 978-166549373-4. ISSN 2642-9535.

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Official URL: https://ieeexplore.ieee.org/abstract/document/10144135


Extreme temperatures and heat waves are a significant risk for public health. Climate change and ongoing urbanization particularly expose urban dwellers, especially vulnerable people such as children and the elderly. In this context, the Urban Heat Island (UHI) effect describes the increased temperatures in urban areas compared to their rural surroundings. This study aims at the quantification of the UHI based on land surface temperatures measured by remote sensing, and air temperatures recorded by climate stations. Since air temperature measurements from official networks are scarce particularly in cities, measurements from Citizen Science offer a complementary source of data. First of all, this work investigates the robustness of crowdsourced air temperatures by comparison with measurements of official measurement networks. In general, we found both data sources featuring similar characteristics. Secondly, the relation of land surface and air temperature measurements is explored through statistical analysis, which showed a clear correlation that varied depending on the season. Finally, the UHI was quantified for different seasons. The strongest UHI based on land surface temperatures was measured in summer with urban-rural difference of 3.0 K. Regarding air temperatures, the highest average difference of 1.3 K was found in spring. In this manner, this study demonstrates that the incorporation of Citizen Science data enhances the knowledge on the urban climate and thus assists the development of appropriate and targeted mitigation strategies to protect the health of citizens.

Item URL in elib:https://elib.dlr.de/195480/
Document Type:Conference or Workshop Item (Speech)
Title:Opposing land surface and air temperatures from remote sensing and Citizen Science for quantification of the Urban Heat Island effect
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Leichtle, TobiasUNSPECIFIEDhttps://orcid.org/0000-0002-0852-4437UNSPECIFIED
Erbertseder, ThiloUNSPECIFIEDhttps://orcid.org/0000-0003-4888-1065UNSPECIFIED
Wurm, MichaelUNSPECIFIEDhttps://orcid.org/0000-0001-5967-1894UNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:May 2023
Journal or Publication Title:2023 Joint Urban Remote Sensing Event, JURSE 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:urban heat island, remote sensing, land surface temperature, air temperature, crowdsourcing
Event Title:2023 Joint Urban Remote Sensing Event (JURSE)
Event Location:Heraklion, Greece
Event Type:international Conference
Event Dates:17-19 May 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Leichtle, Tobias
Deposited On:31 Jul 2023 12:39
Last Modified:31 Jul 2023 12:50

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