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Surface temperature patterns in relation to urban structure types by the example of Munich

Heldens, Wieke and Heiden, Uta and Esch, Thomas (2015) Surface temperature patterns in relation to urban structure types by the example of Munich. EarthTemp IV: Exploring the Complexity of Urban Surface Temperatures, 2015-06-08 - 2015-06-10, Reading, UK.

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Abstract

This study shows the surface temperature patterns of Munich, Germany, as recorded by satellite and airborne remote sensing and relates these to the spatial characteristics of eight common urban structure types. The eight UST analysed in this study showed different spatial characteristics as well as LST properties. They influence the LST profile, for which imperviousness and vegetation density seem to be the dominant parameters. However, there is also a large variation within USTs, both of spatial properties as well as LST.

Item URL in elib:https://elib.dlr.de/99900/
Document Type:Conference or Workshop Item (Poster)
Title:Surface temperature patterns in relation to urban structure types by the example of Munich
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Heldens, WiekeUNSPECIFIEDhttps://orcid.org/0000-0001-6209-5664UNSPECIFIED
Heiden, UtaUNSPECIFIEDhttps://orcid.org/0000-0002-3865-1912UNSPECIFIED
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Date:2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Surface temperature, urban structure types, thermal remote sensing
Event Title:EarthTemp IV: Exploring the Complexity of Urban Surface Temperatures
Event Location:Reading, UK
Event Type:Workshop
Event Start Date:8 June 2015
Event End Date:10 June 2015
Organizer:EarthTemp Network
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 - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Heldens, Dr Wieke
Deposited On:03 Dec 2015 14:30
Last Modified:24 Apr 2024 20:05

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