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http://dx.doi.org/10.11108/kagis.2018.21.3.162

Analysis of Surface Temperature Characteristics by Land Surface Fabrics Using UAV TIR Images  

SONG, Bong-Geun (Disaster Scientific Investigation Division, National Disaster of Management Institute)
KIM, Gyeong-Ah (Dept. of Environmental Engineering, Changwon National University)
SEO, Kyeong-Ho (Dept. of Eco-friendly Offshore Plant FEED Engineering of Changwon National University)
LEE, Seung-Won (Dept. of Environmental Engineering, Changwon National University)
PARK, Kyung-Hun (School of Civil, Environmental and Chemical Engineering, Changwon National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.21, no.3, 2018 , pp. 162-175 More about this Journal
Abstract
The purpose of this study was to analyze the surface temperature of surface fabrics using UAV TIR images, to mitigate problems in the thermal environment of urban areas. Surface temperature values derived from UAV images were compared with those measured in-situ during the similar period as when the images were taken. The difference in the in-situ measured and UAV image derived surface temperatures is the highest for gray colored concrete roof fabrics, at $17^{\circ}C$, and urethane fabrics show the lowest difference, at $0.3^{\circ}C$. The experiment power of the scatter plot of in-situ measured and UAV image derived surface temperatures was 63.75%, indicating that the correlation between the two is high. The surface fabrics with high temperature are metal roofs($48.9^{\circ}C$), urethane($43.4^{\circ}C$), and gray colored concrete roofs($42.9^{\circ}C$), and those with low temperature are barren land($30.2^{\circ}C$), area with trees and lawns($30.2^{\circ}C$), and white colored concrete roofs($34.9^{\circ}C$). These results show that accurate analysis of the thermal characteristics of surface fabrics is possible using UAV images. In future, it will be necessary to increase the usability of UAV images via comparison with in-situ data and linkage to satellite imagery.
Keywords
Unnamed Aircraft Vehicle; Thermal Environment; Heat Wave; GIS; Thermal Comfort;
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