DocumentCode
711745
Title
Comparison between surface and canopy layer urban heat island using MODIS data
Author
Bonafoni, S. ; Anniballe, R. ; Pichierri, M.
Author_Institution
Dept. of Eng., Univ. of Perugia, Perugia, Italy
fYear
2015
fDate
March 30 2015-April 1 2015
Firstpage
1
Lastpage
4
Abstract
Urban heat island (UHI) maps were produced over the city of Milan, Italy, using data provided by the Moderate-resolution Imaging Spectroradiometer (MODIS). Two types of UHI were analyzed simultaneously: the canopy layer heat island (CLHI) and the surface urban heat island (SUHI). The SUHI and CLHI maps allow to monitor the spatial and temporal evolution of surface and air heating and also to highlight the different features (e.g. magnitude, spatial extent, orientation and UHI centre location) using a Gaussian surface fitting. This results indicate that the SUHI effect is a noticeable phenomenon throughout the whole diurnal cycle: it has a stronger intensity in the daytime with peaks around 9-10 K while in the nighttime it decreases by a factor of 2. In contrast, the CLHI during the daytime is absent and after sunset shows features similar to the nighttime SUHI. Although the 1-km spatial resolution of MODIS may represent a limitation for a finer scale analysis, the four daily passes are essential to monitor the urban heat island at different times during the day.
Keywords
Gaussian processes; atmospheric temperature; land surface temperature; remote sensing; thermal pollution; CLHI map; Gaussian surface fitting; Italy; MODIS data; MODIS spatial resolution; Milan city; SUHI effect; SUHI map; UHI centre location; UHI monitoring; air heating spatiotemporal evolution; canopy layer UHI; finer scale analysis; moderate resolution imaging spectroradiometer; surface heating spatiotemporal evolution; surface layer heat island; urban heat island; Cities and towns; Land surface; Land surface temperature; MODIS; Remote sensing; Temperature measurement; Thermal pollution;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location
Lausanne
Type
conf
DOI
10.1109/JURSE.2015.7120457
Filename
7120457
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