DOI: 10.1016/j.jag.2012.12.007
Scopus记录号: 2-s2.0-84880261284
论文题名: Downscaling of thermal images over urban areas using the land surface temperature-impervious percentage relationship
作者: Essa W ; , van der Kwast J ; , Verbeiren B ; , Batelaan O
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 95
结束页码: 108
语种: 英语
英文关键词: DisTrad
; Impervious percentage
; Land surface temperature
; Thermal sharpening
; Urban
Scopus关键词: algorithm
; autocorrelation
; downscaling
; environmental quality
; error analysis
; heat island
; image resolution
; land surface
; Landsat thematic mapper
; surface temperature
; urban area
; County Dublin
; Dublin [County Dublin]
; Ireland
; Leinster
英文摘要: Intensive expansion and densification of urban areas decreases environmental quality and quality of urban life as exemplified by the urban heat island effect. For this reason, thermal information is becoming an increasingly important data source for integration in urban studies. It is expected that future spaceborne thermal sensors will provide data at appropriate spatial and temporal resolutions for urban studies. Until they become operational, research has to rely on downscaling algorithms increasing the spatial resolution of relatively coarse resolution thermal images albeit having a high temporal resolution. Existing downscaling algorithms, however, have been developed for sharpening images over rural and natural areas, resulting in large errors when applied to urban areas. The objective of this study is to adapt the DisTrad method for downscaling land surface temperature (LST) over urban areas using the relationship between LST and impervious percentage. The proposed approach is evaluated by sharpening aggregated LST derived from Landsat 7 ETM+ imagery collected over the city of Dublin on May 24th 2001. The new approach shows improved downscaling results over urban areas for all evaluated resolutions, especially in an environment with mixed land cover. The adapted DisTrad approach was most successful at a resolution of 480 m, resulting in a correlation of R2 = 0.84 with an observed image at the same resolution. Furthermore, sharpening using the adapted DisTrad approach was able to preserve the spatial autocorrelation present in urban environments. The unmixing performance of the adapted DisTrad approach improves with decreasing resolution due to the fact that the functional relationship between LST and impervious percentage was defined at coarse resolutions. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79840
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, BE-1050 Brussels, Belgium; Flemish Institute for Technological Research (VITO), Boeretang 200, BE-2400 Mol, Belgium; UNESCO-IHE Institute for Water Education, Westvest 7, 2611 AX Delft, Netherlands; Department of Earth and Environmental Sciences, K.U.Leuven, Celestijnenlaan 200e - bus 2410, 3001 Heverlee, Belgium
Recommended Citation:
Essa W,, van der Kwast J,, Verbeiren B,et al. Downscaling of thermal images over urban areas using the land surface temperature-impervious percentage relationship[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)