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Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance

Author

Listed:
  • Kirim Lee

    (Department of Spatial Information, Kyungpook National University, Daegu 41566, Korea)

  • Jihoon Seong

    (Department of Spatial Information, Kyungpook National University, Daegu 41566, Korea)

  • Youkyung Han

    (School of Convergence and Fusion System Engineering, Kyungpook National University, Sangju 37224, Korea)

  • Won Hee Lee

    (School of Convergence and Fusion System Engineering, Kyungpook National University, Sangju 37224, Korea)

Abstract

Global warming is intensifying worldwide, and urban heat islands are occurring as urbanization progresses. The cool roof method is one alternative for reducing the urban heat island phenomenon and lowering the heat on building roofs for a comfortable indoor environment. In this study, a cool roof evaluation was performed using an unmanned aerial vehicle (UAV) and a red, green and blue (RGB) camera instead of a laser thermometer and a thermal infrared sensor to evaluate existing cool roofs. When using a UAV, an RGB sensor is used instead of expensive infrared sensor. Various color space techniques, namely light-reflectance value, hue saturation value (HSV), hue saturation lightness, and YUV (luma component (Y) and two chrominance components, called U (blue projection) and V (red projection)) derived from RGB images, are applied to evaluate color space techniques suitable for cool roof evaluation. This case study shows the following quantitative results: among various color space techniques investigated herein, the white roof with lowest temperature (average surface temperature: 44.1 °C; average indoor temperature: 33.3 °C) showed highest HSV, while the black roof with the highest temperature (surface temperature average: 73.4 °C; indoor temperature average: 37.1 °C) depicted the lowest HSV. In addition, the HSV showed the highest correlation in both the Pearson correlation coefficient and the linear regression analyses when the correlation among the brightness, surface temperature, and indoor temperature of the four color space techniques was analyzed. This study is considered a valuable reference for using RGB cameras and HSV color space techniques, instead of expensive thermal infrared cameras, when evaluating cool roof performance.

Suggested Citation

  • Kirim Lee & Jihoon Seong & Youkyung Han & Won Hee Lee, 2020. "Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance," Energies, MDPI, vol. 13(16), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4213-:d:399191
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    References listed on IDEAS

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    1. Zingre, Kishor T. & Yang, En-Hua & Wan, Man Pun, 2017. "Dynamic thermal performance of inclined double-skin roof: Modeling and experimental investigation," Energy, Elsevier, vol. 133(C), pages 900-912.
    2. Roman, Kibria K. & O'Brien, Timothy & Alvey, Jedediah B. & Woo, OhJin, 2016. "Simulating the effects of cool roof and PCM (phase change materials) based roof to mitigate UHI (urban heat island) in prominent US cities," Energy, Elsevier, vol. 96(C), pages 103-117.
    3. Akeiber, Hussein & Nejat, Payam & Majid, Muhd Zaimi Abd. & Wahid, Mazlan A. & Jomehzadeh, Fatemeh & Zeynali Famileh, Iman & Calautit, John Kaiser & Hughes, Ben Richard & Zaki, Sheikh Ahmad, 2016. "A review on phase change material (PCM) for sustainable passive cooling in building envelopes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1470-1497.
    4. Seong-Il Park & Taek-Hyoung Ryu & Ick-Chang Choi & Jung-Sup Um, 2019. "Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs," Energies, MDPI, vol. 12(14), pages 1-14, July.
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    Cited by:

    1. Kirim Lee & Jinhwan Park & Sejung Jung & Wonhee Lee, 2021. "Roof Color-Based Warm Roof Evaluation in Cold Regions Using a UAV Mounted Thermal Infrared Imaging Camera," Energies, MDPI, vol. 14(20), pages 1-17, October.

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