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Construction of Spatial Information Big Data for Urban Thermal Environment Analysis

도시 열환경 분석을 위한 공간정보 빅데이터 구축

  • Received : 2020.03.25
  • Accepted : 2020.05.07
  • Published : 2020.05.30

Abstract

The purpose of this study is to build a database of Spatial information Bigdata of cities using satellite images and spatial information, and to examine the correlations with the surface temperature. Using architectural structure and usage in building information, DEM and Slope topographical information for constructed with 300 × 300 mesh grids for Busan. The satellite image is used to prepare the Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Bare Soil Index (BI), and Land Surface Temperature (LST). In addition, the building area in the grid was calculated and the building ratio was constructed to build the urban environment DB. In architectural structure, positive correlation was found in masonry and concrete structures. On the terrain, negative correlations were observed between DEM and slope. NDBI and BI were positively correlated, and NDVI was negatively correlated. The higher the Building ratio, the higher the surface temperature. It was found that the urban environment DB could be used as a basic data for urban environment analysis, and it was possible to quantitatively grasp the impact on the architecture and urban environment by adding local meteorological factors. This result is expected to be used as basic data for future urban environment planning and disaster prevention data construction.

Keywords

Acknowledgement

이 연구는 환경부 「기후변화특성화대학원사업」과 2017년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임. 과제번호:NRF-2017R1E1A1A01074904

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