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<p>Urban growth seemed to impact existing nighttime light emissions. Several infrastructure and land use components of urban development could support changes in night-time light emission in a specific area. Transportation, buildings, and commercial places are examples of urban features that can produce excess nighttime light emissions. This study examines how various urban features impact nighttime light emissions in Indonesia’s most populous cities. In general, there are four steps to measure the impact, namely (i) OpenStreetMap (OSM) data preprocessing, (ii) Visible Infrared Imaging Radiometer Suite (VIIRS) data preprocessing, (iii) data integration, and (iv) correlation model. Two important data used are night-time light data from the Earth Observations Group (EOG) at National Oceanic and Atmospheric Administration/National Centers for Environmental Information (NOAA/NCEI) and urban features extracted from OSM. Several areas simulate the model, consisting of the conservation area, capital cities of Java island, and other cities with the largest populations in Indonesia. The developed model involves a linear model to analyze urban features correlating with night-time light emissions. The results state that tourism houses are the most significant variables affecting night-time light emissions, with an estimated coefficient of 5.51. The other effects in the opposite direction are health and sports facilities, with − 1.59 and 1.77 as its estimated coefficients, respectively. From the result, policymakers can see that urban features need more consideration for sustainable development in an urban environment.</p>

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Analyzing Spatial Urban Features Correlating with Night-Time Light Emission

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • Lala Septem Riza,
  • Fajar Zuliansyah Trihutama,
  • Muhammad Fajar Yusuf Firdaus,
  • Zulfikar Ali Yunara Putra,
  • Judhistira Aria Utama,
  • Khyrina Airin Fariza Abu Samah,
  • Dhani Herdiwijaya,
  • Rinto Anugraha NQZ,
  • Emanuel Sungging Mumpuni

摘要

Urban growth seemed to impact existing nighttime light emissions. Several infrastructure and land use components of urban development could support changes in night-time light emission in a specific area. Transportation, buildings, and commercial places are examples of urban features that can produce excess nighttime light emissions. This study examines how various urban features impact nighttime light emissions in Indonesia’s most populous cities. In general, there are four steps to measure the impact, namely (i) OpenStreetMap (OSM) data preprocessing, (ii) Visible Infrared Imaging Radiometer Suite (VIIRS) data preprocessing, (iii) data integration, and (iv) correlation model. Two important data used are night-time light data from the Earth Observations Group (EOG) at National Oceanic and Atmospheric Administration/National Centers for Environmental Information (NOAA/NCEI) and urban features extracted from OSM. Several areas simulate the model, consisting of the conservation area, capital cities of Java island, and other cities with the largest populations in Indonesia. The developed model involves a linear model to analyze urban features correlating with night-time light emissions. The results state that tourism houses are the most significant variables affecting night-time light emissions, with an estimated coefficient of 5.51. The other effects in the opposite direction are health and sports facilities, with − 1.59 and 1.77 as its estimated coefficients, respectively. From the result, policymakers can see that urban features need more consideration for sustainable development in an urban environment.