Evaluating greenery in urban detached houses using eye-level 3d and aerial-based views: A case study in Ageo city, Saitama Prefecture

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dc.contributor.author Madushanka, W.C.M.S.
dc.contributor.author Kiyotaka, Fukahori
dc.contributor.author Tsurumi, Wataru
dc.contributor.author Jayasanka Senavirathna, M.D.H.
dc.date.accessioned 2025-10-22T07:13:35Z
dc.date.available 2025-10-22T07:13:35Z
dc.date.issued 2025
dc.identifier.citation Madushanka, W.C.M.S., Kiyotaka, Fukahori,, Tsurumi, Wataru, & Jayasanka Senavirathna, M.D.H.(2025). Evaluating greenery in urban detached houses using eye-level 3d and aerial-based views: A case study in Ageo city, Saitama Prefecture. International Symposium on Agriculture and Environment, 40. en_US
dc.identifier.issn 1800-4830
dc.identifier.uri http://ir.lib.ruh.ac.lk/handle/iruor/20304
dc.description.abstract Greenery visibility in urban environments provides numerous psychological and ecological benefits. However, existing indices, such as the Green View Index and NDVI, fail to adequately capture greenery as perceived from a pedestrian’s eye level. This study introduces a novel three dimensional (3D) method for evaluating greenery visibility using stereo imagery and depth data derived from eye-level photographs. The study was conducted in Ageo City, Saitama Prefecture, Japan. Plant placement in frontage greening was evaluated using actual photographs. Frontage greening in detached urban houses was captured from a stereo camera and 713 photographs were analysed. A custom-developed program was used to extract depth values of green pixels (Green Depth, GD). The GD value indicates the distance from the viewpoint to the green element along the Z-axis direction. Parallel lines (one through the person, one through the tree) lie along the X-axis, with the Z-axis perpendicular to the parallel reference lines aligned with the X-axis. Using depth value, depth-based indicators were calculated and multiple regression analysis was performed with façade image-based indicators that measure the degree of mixture of greenery and artificial objects, such as greenery-to-greenery proximity, greenery-to-artificial-object proximity and agglomeration. The multiple correlation coefficients were found for standard deviation (0.30), kurtosis (0.35), Simpson diversity index (0.32), proportionality (0.38) and for GD value average (0.48, skewness (0.51) and degree of openness (0.59). Finally, this novel method was proposed to quantify greenery in three dimensions. As future work, using aerial images, 2D greenery visibility indexes will be calculated using satellite images for the same detached houses and will be compared with these 3D indicators. Integrating 2D and 3D indexes will result in a methodology to evaluate and understand urban greenery visibility as people really experience it. Furthermore, aerial photographs will be used to evaluate land plot sizes of the detached houses and the positioning of the building, car parks, plants and entrances. This approach provides urban planners and landscape designers with a more human-centered tool for assessing and improving the visibility and distribution of greenery in urban neighborhoods. en_US
dc.language.iso en en_US
dc.publisher Faculty of Agriculture-University of Ruhuna en_US
dc.relation.ispartofseries ISAE;2025
dc.subject 3D greenery visibility en_US
dc.subject Greenery depth value en_US
dc.subject Landscape planning en_US
dc.subject Urban Greenery en_US
dc.title Evaluating greenery in urban detached houses using eye-level 3d and aerial-based views: A case study in Ageo city, Saitama Prefecture en_US
dc.type Article en_US


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