A Study on Urban-Scale Building, Tree Canopy Footprint Identification and Sky View Factor Analysis with Airborne LiDAR Remote Sensing Data

Urbanization transforms simple two-dimensional natural spaces into complex three-dimensional (3D) artificial through intense land use. Hence, urbanization continuously vertical urban settings and the corresponding sky view area. As such, collecting data on their interactions with climate is important. In this study, LiDAR remote sensing was applied to obtain finer-resolution footprints of urban-scale buildings tree canopies (TCs). Additionally, a related factor (SVF) analysis performed. The study site comprised an area Incheon Metropolitan City (501.5 km2). Results show that proposed method can be update institutional maps, enhance use management, implement optimized balanced settings.