DocumentCode
2828975
Title
Remote Sensing Analysis of Kuwait City´s Thermal Environment
Author
Kwarteng, Andy Y. ; Small, Christopher
Author_Institution
Center for Remote Sensing & GIS, Sultan Qaboos Univ., Muscat
fYear
2007
fDate
11-13 April 2007
Firstpage
1
Lastpage
8
Abstract
Satellite-derived thermal information over urban areas offers and attractive and inexpensive method which have been utilized in diverse studies including land cover classification, energy flux interactions, and as input for models of urban surface atmosphere exchange. In this study, multitemporal Landsat TM imagery are analyzed for the dependence of energy fluxes on the urban surface properties in Kuwait City located in an arid environments. Thermal imagery is used in conjunction with multispectral imagery to interpret the distribution of surface temperatures in the context of endmember abundances estimated by spectral mixture analysis. In addition, the changes in the thermal properties over several years are evaluated for the city. Scatterplots of surface temperature and vegetation fractions define the physical limits imposed by the vegetation cover, soil water content, and different combinations of surface materials in Kuwait City.
Keywords
atmospheric boundary layer; atmospheric temperature; land surface temperature; moisture; remote sensing; soil; vegetation; Kuwait City; arid environments; endmember abundances; energy flux interactions; land cover classification; multitemporal Landsat TM imagery; remote sensing analysis; soil water content; spectral mixture analysis; thermal properties; urban surface atmosphere exchange; vegetation cover; Atmosphere; Atmospheric modeling; Cities and towns; Image analysis; Land surface; Multispectral imaging; Remote sensing; Satellites; Urban areas; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Joint Event, 2007
Conference_Location
Paris
Print_ISBN
1-4244-0711-7
Electronic_ISBN
1-4244-0712-5
Type
conf
DOI
10.1109/URS.2007.371794
Filename
4234393
Link To Document