Korean Journal of Artificial Intelligence (한국인공지능학회지)

Korea Artificial Intelligence Association (한국인공지능학회)
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Utilization of Google Street View to Estimate Green View Index: a case study from Bandung, Indonesia

  • Emir LUTHFI (BPS Statistics Indonesia) ;
  • Setia PRAMANA (Dept. of Computational Statistics, Politeknik Statistika STIS)
  • Received : 2024.09.20
  • Accepted : 2024.12.05
  • Published : 2024.12.30
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Abstract

The use of street view has many benefits with its popular source being Google Street View (GSV). One of the processing methods uses semantic segmentation which can classify each pixel according to the category of the pre-trained pyramid scene parsing network (PSPNet) model used. The Green View Index (GVI) is one of the semantic segmentation research trends in viewing Green Open Space (GOS) based on human perception of an area. Green Open Space (GOS) provides many benefits and more attractiveness to the community to be able to live in the vicinity. The GVI obtained gives an average value of 22.5% capturing the presence of GOS which is higher than the green open space data collected by Housing and Settlement Area, Land and Parking Offices Bandung City.

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Acknowledgement

This work was supported by the Politeknik Statistika STIS research funds.

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