Proceedings of the 1st International Conference on Environmental Science, Development, and Management, ICESDM 2023, 2 November 2023, Banjarmasin, South Kalimantan, Indonesia

Research Article

Qualifying Urban Heat Islands: Advanced Techniques in Land Surface Temperature Analysis using Google Earth Engine

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  • @INPROCEEDINGS{10.4108/eai.2-11-2023.2347986,
        author={Munsyi  Munsyi and A.  Nugroho and A.  Jauhari and MR.  Faisal},
        title={Qualifying Urban Heat Islands: Advanced Techniques in Land Surface Temperature Analysis using Google Earth Engine},
        proceedings={Proceedings of the 1st International Conference on Environmental Science, Development, and Management, ICESDM 2023, 2 November 2023, Banjarmasin, South Kalimantan, Indonesia},
        publisher={EAI},
        proceedings_a={ICESDM},
        year={2024},
        month={8},
        keywords={uhi lst  ndvi google earth engine sustainable urban planning},
        doi={10.4108/eai.2-11-2023.2347986}
    }
    
  • Munsyi Munsyi
    A. Nugroho
    A. Jauhari
    MR. Faisal
    Year: 2024
    Qualifying Urban Heat Islands: Advanced Techniques in Land Surface Temperature Analysis using Google Earth Engine
    ICESDM
    EAI
    DOI: 10.4108/eai.2-11-2023.2347986
Munsyi Munsyi1,*, A. Nugroho2, A. Jauhari3, MR. Faisal4
  • 1: Doctoral Program of Environmental Science, Lambung Mangkurat University, Indonesia
  • 2: Faculty of Agriculture Science, Lambung Mangkurat University, Indonesia
  • 3: Faculty of Forestry, Lambung Mangkurat University, Indonesia
  • 4: Faculty of Computer Science, Lambung Mangkurat University, Indonesia
*Contact email: 2241213310021@mhs.ulm.ac.id

Abstract

Banjarmasin, often referred to as the city of a thousand rivers, has witnessed significant urban development, leading to an intensification of the Urban Heat Island (UHI) effect. This study leverages Landsat 8 satellite data, combined with Google Earth Engine capabilities, to examine the interplay between Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI) from 2013 to 2022. Initial observations revealed varying patterns in LST, especially in areas surrounding the rivers, and significant NDVI variations indicative of vegetation conditions. A detailed analysis showed an evident relationship between vegetation cover and urban temperatures, with temperature fluctuations correlating with both changes in vegetation and anthropogenic activities. Particularly, the global COVID-19 pandemic played a role in LST decline during 2020-2021, even when vegetation coverage remained relatively static. The findings underscore the importance of sustainable urban planning, emphasizing the conservation and integration of green spaces to counteract UHI effects and promote environmental balance. This research contributes valuable insights into the dynamics of urban climates, vegetation health, and sustainable development strategies for cities undergoing rapid urbanization.