Remote Sensing Applications and Decision Support

Spectral index utility for summer urban heating analysis

[+] Author Affiliations
Stefania Bonafoni

University of Perugia, Department of Engineering, Via G. Duranti 93, Perugia 06100, Italy

J. Appl. Remote Sens. 9(1), 096030 (Jul 27, 2015). doi:10.1117/1.JRS.9.096030
History: Received March 4, 2015; Accepted June 8, 2015
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Abstract.  The land surface temperature (LST) retrieval in an urban environment by thermal remote sensing is a widespread scientific topic and several studies have been made to point out the correspondence between spectral indices and LST pattern. This work evaluates the potential of the spectral indices introduced in the literature, more than 30, by assessing their correlation with the summer LST in the heterogeneous urban area of Rome, Italy, considering two different triplets of images acquired during 2009 and 2011 by the Landsat Thematic Mapper (TM). The spectral indices have been divided into vegetation and built up-soil indices employing the reflective TM bands, and then ranked on the basis of their linear and monotonic relationship with the LST. Vegetation indices have a strong negative correlation with LST: vegetation area (VA), nonlinear index, modified soil adjusted vegetation index exhibit a greater Pearson and Spearman correlation coefficient with LST. The more useful spectral indices for built up and soil analysis, exhibiting a greater positive correlation with LST, are the impervious surface area (ISA), the bare soil index, the index-based built-up index, and the normalized difference built-up index. Interesting indications of the impact on the spectral index performance of specific land-cover classes embedded in an urban environment, such as the bare soil and the water classes were pointed out; for example, the reduction of the ISA and VA capability to display the full dynamic range of the LST pattern.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Topics

Water ; Vegetation ; Landsat

Citation

Stefania Bonafoni
"Spectral index utility for summer urban heating analysis", J. Appl. Remote Sens. 9(1), 096030 (Jul 27, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.096030


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