IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p1766-d1342992.html
   My bibliography  Save this article

UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria)

Author

Listed:
  • Stelian Dimitrov

    (Department of Geospatial Systems and Technologies, Faculty of Geology and Geography, Sofia University St. Kliment Ohridski, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria)

  • Martin Iliev

    (Department of Geospatial Systems and Technologies, Faculty of Geology and Geography, Sofia University St. Kliment Ohridski, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria)

  • Bilyana Borisova

    (Department of Landscape Ecology and Environmental Protection, Sofia University St. Kliment Ohridski, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria)

  • Lidiya Semerdzhieva

    (Department of Geospatial Systems and Technologies, Faculty of Geology and Geography, Sofia University St. Kliment Ohridski, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria)

  • Stefan Petrov

    (Department of Geospatial Systems and Technologies, Faculty of Geology and Geography, Sofia University St. Kliment Ohridski, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria)

Abstract

The urban heat island (UHI) and its intensity is one of the phenomena that are of determining importance for the comfort of living in cities and their sustainable development in the face of deepening climate change. The study is objectively difficult due to the large dynamics like land cover and the considerable diversity of land use patterns in urban areas. Most of the frequently used research practice approaches provide information with problematic spatial and temporal resolution, making them difficult to apply for sustainable urban planning purposes. This paper proposes to calculate SUHI intensity as the difference between the temperature of a given point within a city and the average minimum temperature of the land cover class with the lowest surface temperatures within the same urban area. The study presents the results of the application of thermal photogrammetry based on the use of unmanned aerial systems (UAS), combined with geographic information systems (GIS), in the study of surface urban heat island intensity (SUHI), at the local level for the largest housing complex in Bulgaria–Lyulin district of the capital of Sofia city. The studies were carried out during a heat wave in July 2023. A difference of 16.5 °C was found between locations with SUHI occurrence and of the peripheral non-build and natural land cover types within the urbanized area. The information benefits of locally addressed data and their direct applicability are discussed to support decision-making processes in the planning and management of urban areas, including their climate adaptation and sustainable development.

Suggested Citation

  • Stelian Dimitrov & Martin Iliev & Bilyana Borisova & Lidiya Semerdzhieva & Stefan Petrov, 2024. "UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1766-:d:1342992
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/1766/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/5/1766/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francisco Estrada & W. J. Wouter Botzen & Richard S. J. Tol, 2017. "A global economic assessment of city policies to reduce climate change impacts," Nature Climate Change, Nature, vol. 7(6), pages 403-406, June.
    2. Abdul Munaf Mohamed Irfeey & Hing-Wah Chau & Mohamed Mahusoon Fathima Sumaiya & Cheuk Yin Wai & Nitin Muttil & Elmira Jamei, 2023. "Sustainable Mitigation Strategies for Urban Heat Island Effects in Urban Areas," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    3. Patricio Pacheco & Eduardo Mera & Voltaire Fuentes, 2023. "Intensive Urbanization, Urban Meteorology and Air Pollutants: Effects on the Temperature of a City in a Basin Geography," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    4. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Trout, Thomas J., 2016. "Estimating maize water stress by standard deviation of canopy temperature in thermal imagery," Agricultural Water Management, Elsevier, vol. 177(C), pages 400-409.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cesar Casiano Flores & Joep Crompvoets & Maria Eugenia Ibarraran Viniegra & Megan Farrelly, 2019. "Governance Assessment of the Flood’s Infrastructure Policy in San Pedro Cholula, Mexico: Potential for a Leapfrog to Water Sensitive," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    2. Wan Ting Katty Huang & Pierre Masselot & Elie Bou-Zeid & Simone Fatichi & Athanasios Paschalis & Ting Sun & Antonio Gasparrini & Gabriele Manoli, 2023. "Economic valuation of temperature-related mortality attributed to urban heat islands in European cities," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Mauricio Marrone & Martina K Linnenluecke, 2020. "Interdisciplinary Research Maps: A new technique for visualizing research topics," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-16, November.
    4. Ying Zheng & Qiyao Han & Greg Keeffe, 2024. "An Evaluation of Different Landscape Design Scenarios to Improve Outdoor Thermal Comfort in Shenzhen," Land, MDPI, vol. 13(1), pages 1-17, January.
    5. Fei Huo & Li Xu & Yanping Li & James S. Famiglietti & Zhenhua Li & Yuya Kajikawa & Fei Chen, 2021. "Using big data analytics to synthesize research domains and identify emerging fields in urban climatology," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    6. Shao, Guomin & Han, Wenting & Zhang, Huihui & Liu, Shouyang & Wang, Yi & Zhang, Liyuan & Cui, Xin, 2021. "Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices," Agricultural Water Management, Elsevier, vol. 252(C).
    7. Antonio Ligsay & Olivier Telle & Richard Paul, 2021. "Challenges to Mitigating the Urban Health Burden of Mosquito-Borne Diseases in the Face of Climate Change," IJERPH, MDPI, vol. 18(9), pages 1-12, May.
    8. Ehsan Daneshyar, 2024. "Residential Rooftop Urban Agriculture: Architectural Design Recommendations," Sustainability, MDPI, vol. 16(5), pages 1-34, February.
    9. Richard S. J. Tol, 2024. "The climate niche of Homo Sapiens," Climatic Change, Springer, vol. 177(6), pages 1-17, June.
    10. Juan Manuel Núñez & Andrea Santamaría & Leonardo Avila & D. A. Perez-De La Mora, 2024. "Using Local Entropy Mapping as an Approach to Quantify Surface Temperature Changes Induced by Urban Parks in Mexico City," Land, MDPI, vol. 13(10), pages 1-16, October.
    11. Kumar Ashwini & Briti Sundar Sil & Abdulla Al Kafy & Hamad Ahmed Altuwaijri & Hrithik Nath & Zullyadini A. Rahaman, 2024. "Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management," Land, MDPI, vol. 13(8), pages 1-30, August.
    12. Soete, Luc, 2019. "Science, technology and innovation studies at a crossroad: SPRU as case study," Research Policy, Elsevier, vol. 48(4), pages 849-857.
    13. Zhang, Liyuan & Zhang, Huihui & Han, Wenting & Niu, Yaxiao & Chávez, José L. & Ma, Weitong, 2021. "The mean value of gaussian distribution of excess green index: A new crop water stress indicator," Agricultural Water Management, Elsevier, vol. 251(C).
    14. Hua Shi & George Xian & Roger Auch & Kevin Gallo & Qiang Zhou, 2021. "Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data—A Review of Recent Developments and Methodology," Land, MDPI, vol. 10(8), pages 1-30, August.
    15. Ze Liang & Yueyao Wang & Jiao Huang & Feili Wei & Shuyao Wu & Jiashu Shen & Fuyue Sun & Shuangcheng Li, 2020. "Seasonal and Diurnal Variations in the Relationships between Urban Form and the Urban Heat Island Effect," Energies, MDPI, vol. 13(22), pages 1-19, November.
    16. Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
    17. C. Grislain-Letremy & J. Sixou & A. Sotura, 2024. "Urban Heat Islands and Inequalities: Evidence from French Cities," Documents de Travail de l'Insee - INSEE Working Papers 2024-21, Institut National de la Statistique et des Etudes Economiques.
    18. Victor Hugo Souza de Abreu & Andrea Souza Santos & Thaís Guedes Máximo Monteiro, 2022. "Climate Change Impacts on the Road Transport Infrastructure: A Systematic Review on Adaptation Measures," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    19. Ezenne, G.I. & Jupp, Louise & Mantel, S.K. & Tanner, J.L., 2019. "Current and potential capabilities of UAS for crop water productivity in precision agriculture," Agricultural Water Management, Elsevier, vol. 218(C), pages 158-164.
    20. Zhang, Liyuan & Zhang, Huihui & Han, Wenting & Niu, Yaxiao & Chávez, José L. & Ma, Weitong, 2022. "Effects of image spatial resolution and statistical scale on water stress estimation performance of MGDEXG: A new crop water stress indicator derived from RGB images," Agricultural Water Management, Elsevier, vol. 264(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1766-:d:1342992. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.