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Im, Jungho
Intelligent Remote sensing and geospatial Information Science Lab.
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dc.citation.endPage 1223 -
dc.citation.number 6 -
dc.citation.startPage 1207 -
dc.citation.title KOREAN JOURNAL OF REMOTE SENSING -
dc.citation.volume 41 -
dc.contributor.author Park, Sujeong -
dc.contributor.author Kim, Hui-Jung -
dc.contributor.author Kim, Youngseok -
dc.contributor.author Lee, Yeonsu -
dc.contributor.author Cho, Dongjin -
dc.contributor.author Yoo, Cheolhee -
dc.contributor.author Bae, Dukwon -
dc.contributor.author Lee, Siwoo -
dc.contributor.author Im, Jungho -
dc.date.accessioned 2026-01-02T11:10:50Z -
dc.date.available 2026-01-02T11:10:50Z -
dc.date.created 2025-12-31 -
dc.date.issued 2025-12 -
dc.description.abstract The pervasive expansion of impervious surfaces in urban areas alters surface thermal properties, resulting in the urban heat island (UHI) effect. Elevated urban temperatures constitute a considerable threat to human health by intensifying thermal stress and exacerbating air pollution. The magnitude and characteristics of UHI are highly sensitive to seasonal, diurnal, morphological, and geographic conditions. Although canopy-level temperature provides a more relevant indicator of human thermal exposure than surface-based measures, most previous assessments have relied on satellite-derived land surface temperature (LST). Motivated by these limitations, this study implemented a nationwide assessment of canopy-level UHI variability across 157 cities in South Korea, combining Sentinel-2 imagery, Korea Meteorological Administration (KMA) gridded air temperature products as a canopy level measure complementing LST, and a deep-learning local climate zone (LCZ) mapping framework. Using a transfer-learning strategy applied to satellite imagery, we produced a novel nationwide LCZ map that captures the spatial heterogeneity of urban and natural landscapes, with an overall accuracy of 0.78. Leveraging spatially continuous air temperature datasets, we found that canopy-level UHI exhibits significantly higher values at night (0.05°C in summer and 0.19°C in winter) compared to daytime UHI intensity (0.03°C in summer and 0.02°C in winter). These effects were amplified in areas with denser and taller building morphologies, highlighting the crucial role of the built environment in shaping urban thermal conditions. Geographical analyses revealed a distinct association between summer UHI intensity and coastal proximity in both day and night (Pearson’s r > 0.2 and 0.3, respectively; p < 0.005), while this pattern was attenuated in winter. Our findings provide a valuable scientific basis for evaluating human relevant thermal environments across cities and offer essential insights to inform urban planning and climate-resilient design strategies. -
dc.identifier.bibliographicCitation KOREAN JOURNAL OF REMOTE SENSING, v.41, no.6, pp.1207 - 1223 -
dc.identifier.doi 10.7780/kjrs.2025.41.6.20 -
dc.identifier.issn 1225-6161 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/89621 -
dc.language 영어 -
dc.publisher KOREAN SOC REMOTE SENSING -
dc.title Nationwide Local Climate Zone Mapping and Comparative Assessment of Urban Heat Island Effects in South Korea -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.type.docType Article -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus Local climate zones -
dc.subject.keywordPlus  Transfer learning -
dc.subject.keywordPlus  Convolutional neural networks -
dc.subject.keywordPlus  Urban heat island -
dc.subject.keywordPlus  Air temperature -
dc.subject.keywordPlus  Urban climate -
dc.subject.keywordPlus  Remote sensing -

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