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A Study on Urban Scale High-Resolution Sky View Factor Mapping and Applications

Seung-Man AN 1

1국토연구원

Accredited

ABSTRACT

A sky view factor (SVF) is a dimension-reduced urban canopy parameter (UCP) that captures three-dimensional urban surface morphologic form through a horizontal fraction. This study developed an urban scale high-resolution (2 m) sky view factor (SVF) raster mapping method and discussed it for further applications. The study site is Suwon administrative area, South Korea (121.04 km²), with a population of close to 1.3 million. In this study, airborne LiDAR-based three-dimensional point cloud (3DPC) data were used as an input to build urban scale high-resolution SVF raster maps. Two types of SVF maps (GB and GBH) are compared to describe the tree effect using Zonal statistics quantitatively. Results visually and statically explain a relationship between land-use-based urban surface form and the SVF difference map derived from two SVF raster (GB - GBH). The SVF difference average value explains the tree effect which mitigates micro-climate as a land cover lessens solar radiation on hot summer days. A further application research study about the high-resolution SVF map should follow to develop scientific knowledge and support climate-friendly urban planning.

Citation status

* References for papers published after 2022 are currently being built.