Volume 11 Issue 2 ( June )

The lack of green open spaces in urban areas has become a global issue that is difficult to solve. This is due to the decreasing availability of land in urban areas and the increasing population density and activities. This research aims to provide discourse on identifying the level of urban greenness based on scenery and visual orientation. Big data from Google Street View images based on visual orientation in the field is utilized for the data analysis. In the case study conducted in the city of Malang, Indonesia that the application of this method resulted in a Green View Index of 0.137, or 13.7%. This value indicates a moderate correlation with the Normalized Difference Vegetation Index (NDVI), which serves as the basis for validation. The research findings suggest that this approach could be an alternative method for assessing green open spaces in urban areas. By utilizing big data from Google Street View images and focusing on visual orientation, this research provides a novel perspective for evaluating urban greenness. The Green View Index derived from this method offers valuable insights into the extent of green open spaces in urban environments. The hope is that this approach can contribute to addressing the challenges associated with urban green space assessment.

Keywords: Green View Index; Google Street View; NDVI