Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39497
Title: Applying a normalized ratio scale technique to assess influences of urban expansion on land surface temperature of the semi-arid city of Erbil
Authors: Rasul, Azad
Balzter, Heiko
Smith, Claire
First Published: 3-Apr-2017
Publisher: Taylor & Francis for Remote Sensing and Photogrammetry Society
Citation: International Journal of Remote Sensing, 2017, 38:1, pp. 3960-3980
Abstract: The difference between surface and air temperature within a city and its surrounding area is a result of variations in surface cover, thermal capacity and 3-dimensional geometry. This research has examined and quantified the decreasing daytime land surface temperature (LST) in Erbil, Kurdistan region of Iraq, and the influence of rapid urban expansion on urban heat/cool island effect over a 20 year period. Land Use/Land Cover (LULC) change across this time period is also established using pixel samples. The current study proposes the application of the Normalized Ratio Scale (NRS) to adjust the temperature of images acquired at different date to the same range. Eleven satellite images acquired by Landsat 4, 5, 7 and 8 during the period 1992 to 2013 are used to retrieve LST. The results indicate that 55.3 km2 21 of city land cover changed from bare soil to urban, consequently the mean LST of the new urbanized area decreased by 2.28°C. The NDVI of Sami Abdul-Rahman (S.A.) Park increased from 0.09 ± 0.01 to 0.32 ± 0.11, resulting in a decrease of the mean LST by 7.29°C. This study shows that the NRS method is appropriate for detecting temperature trends from urbanization using remote sensing data. It also highlights that urban expansion may lead to a decrease in daytime LST in drylands.
DOI Link: 10.1080/01431161.2017.1312030
ISSN: 0143-1161
eISSN: 1366-5901
Links: http://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1312030
http://hdl.handle.net/2381/39497
Embargo on file until: 3-Apr-2018
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2017, Taylor & Francis for Remote Sensing and Photogrammetry Society. Deposited with reference to the publisher’s open access archiving policy.
Description: The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, Dept. of Geography

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