Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures

• Verfasst von: Schwarz, Nina [VerfasserIn]
• Verfasst von: Lautenbach, Sven [VerfasserIn]
• Verfasst von: Seppelt, Ralf [VerfasserIn]
• Titel: Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures
• Verf.angabe: Nina Schwarz, Sven Lautenbach, Ralf Seppelt
• E-Jahr: 2011
• Jahr: 15 December 2011
• Umfang: 12 S.
• Fussnoten: Gesehen am 13.12.2018
• Titel Quelle: Enthalten in: Remote sensing of environment
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1969
• Jahr Quelle: 2011
• Band/Heft Quelle: 115(2011), 12, Seite 3175-3186
• ISSN Quelle: 1879-0704
• DOI: doi:10.1016/j.rse.2011.07.003
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Europe
• Sach-SW: MODIS
• Sach-SW: Urban heat island
• K10plus-PPN: 1585189650

Abstract

The term urban heat island describes the phenomenon of altered temperatures in urban areas compared to their rural hinterlands. A surface urban heat island encompasses the patterns of land surface temperatures in urban areas. The classical indicator to describe a surface urban heat island is the difference between urban and rural surface temperatures. However, several other indicators for this purpose have been suggested in the literature. In this study, we compared the eleven different indicators for quantifying surface urban heat islands that were most frequently used in recent publications on remote sensing-based urban heat island assessments. The dataset used here consists of 263 European cities with monthly mean temperatures from MODIS data products for July 2002, January 2003 and July 2003. We found that (i) the indicators individually reveal diurnal and seasonal patterns but show rather low correlations over time, and (ii) for single points in time, the different indicators show only weak correlations, although they are supposed to quantify the same phenomenon. Differentiating cities according to thermal climate zones increased the relationships between the indicators. Thus, we can identify temporal aspects and indicator selection as important factors determining the estimation of urban heat islands. We conclude that research should take into account the differences and instabilities of the indicators chosen for quantifying surface urban heat islands and should use several indicators in parallel for describing the surface urban heat island of a city.