In this study, we constructed a orthomosaic image with thermal infrared camera based on UAV (Unmanned Aerial Vehicle) to identify the factors affecting surface temperature during heat wave. Based on this, surface temperature of each type of LCZs (Local Climate Zones) and land cover was analyzed and the factors of surface temperature influence were identified. As a main result of this study, the surface temperature was high in the order of ‘Bare rock or paved’, ‘Compact row rise’, ‘Compact high rise’, ‘Low plants 1 (Greenery with flowerpot)’, ‘Low plants 2 (Farmland)’, and ‘Brush, scrub (Greenery between buildings)’, based on the type of LCZs. On the type of land cover, the surface temperature was high in the order of ‘Roads’, ‘Education and administrative facilities’, ‘Commercial and business facilities’, ‘Detached residential area’, ‘Other bare land’, ‘Unarranged farm’, ‘Co-residential area’ and ‘Other greenery’. Also, it was found that the surface temperature was different depending on the meterial and color of the facility of roof, and whether or not surrounding green land was present. Based on high-resolution thermal infrared images, this study are meaningful as it has constructed and analyzed the surface temperature distribution map of the target area of urban regeneration, a residential area with dense population of vulnerable people.