Journal article
A Study on the Efficient Utilization of Spatial Data for Heat Mapping with Remote Sensing and Simulation
KOREAN JOURNAL OF REMOTE SENSING, v 36(6), pp 1421-1434
01 Dec 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The frequency and intensity of heatwaves have been increasing due to climate change. Since urban areas are more severely damaged by heatwaves as they act in combination with the urban heat island phenomenon, every possible preparation for such heat threats is required. Many overseas local governments build heat maps using a variety of spatial information to prepare for and counteract heatwaves, and prepare heatwave measures suitable for each region with different spatial characteristics within a relevant city. Building a heat map is a first and important step to prepare for heatwaves. The cases of heat map construction and thermal environment analysis involve various area distributions from urban units with a large area to local units with a small area. The method of constructing a heat map varies from a method utilizing remote sensing to a method using simulation, but there is no standard for using differentiated spatial information according to spatial scale, so each researcher constructs a heat map and analyzes the thermal environment based on different methods. For the above reason, spatial information standards required for building a heat map according to the analysis scale should be established. To this end, this study examined spatial information, analysis methodology, and final findings related to Korean and oversea analysis studies of heatwaves and urban thermal environments to suggest ways to improve the utilization efficiency of spatial information used to build urban heat maps. As a result of the analysis, it was found that spatial, temporal, and spectral resolutions, as basic resolutions, are necessary to construct a heat map using remote sensing in the use of spatial information. In the use of simulations, it was found that the type of weather data and spatial resolution, which are input condition information for simulation implementation, differ according to the size of analysis target areas. Therefore, when constructing a heat map using remote sensing, spatial, spectral, and temporal resolution should be considered; and in the case of using simulations, the spatial resolution, which is an input condition for simulation implementation, and the conditions of weather information to be inputted, should be considered in advance. As a result of understanding the types of monitoring elements for heatwave analysis, 19 types of elements were identified such as land cover, urban spatial characteristics, buildings, topography, vegetation, and shadows, and it was found that there are differences in the types of the elements by spatial scale. This study is expected to help give direction to relevant studies in terms of the use of spatial information suitable for the size of target areas, and setting monitoring elements, when analyzing heatwaves.
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Details
- Title
- A Study on the Efficient Utilization of Spatial Data for Heat Mapping with Remote Sensing and Simulation
- Creators
- Young-Il Cho - Korea Environm Inst, Ctr Environm Data Strategy, Yeongi Gun, South KoreaDonghyeon Yoon - Korea Environm Inst, Ctr Environm Data Strategy, Yeongi Gun, South KoreaYoungshin Lim - Korea Environm Inst, Korea Adaptat Ctr Climate Change, Yeongi Gun, South KoreaMoung-Jin Lee - Korea Environm Inst, Ctr Environm Data Strategy, Yeongi Gun, South Korea
- Publication Details
- KOREAN JOURNAL OF REMOTE SENSING, v 36(6), pp 1421-1434
- Publisher
- Korean Soc Remote Sensing
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- Korean
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000610419200011
- Scopus ID
- 2-s2.0-85106323332
- Other Identifier
- 991020547319304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Remote Sensing