Abstract

Bogor City is one of the cities with declining air quality, which increases the risk of air pollution in the city. Improving the air quality requires the addition of vegetation as a green space that can be supported by remote sensing analysis using Google Earth Engine to know the availability of vegetation area in Bogor City. This process takes the median value of Landsat 8 Oli's satellite imagery data for 60 to 91 days of each year and classified by Random Forest Classification and supported by BPS-Statistic of Bogor Municipality data for the number of oxygen users of Bogor City that calculated by the Gerarkis Method to observe the needs of oxygen in Bogor City. The results contain a prediction of the addition of green spaces area needed in Bogor City based on the difference between the Gerarkis Method results and the availability of vegetation area in Bogor City each year. The results show an increased number from 2013 to 2019 because of the increased number of oxygen users each year. The highest number in 2019 shows that Bogor City needs 4,639 Hectares or 40.59% more green spaces area, while the lowest number happened in 2013 with 281.31 Hectares or 2.46% more green spaces area needed. This research could help the growth of development in Bogor City to be balanced between oxygen needs by the public user and urban planning plans.

Original languageEnglish
Pages (from-to)2053-2059
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume12
Issue number5
DOIs
Publication statusPublished - 2022

Keywords

  • Air pollution
  • Air quality
  • Gerarkis method
  • Google earth engine
  • Green spaces
  • Remote sensing
  • Sustainable cities

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