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NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.39 no.5/1, 2023년, pp.921 - 932
이경일 (서울과학기술대학교 AI반도체연구소)
Land cover change due to urban population concentration and urban expansion can cause various environmental problems such as urban heat islands. In particular, New towns are considered an appropriate study site to analyze changes in urban climate due to rapid urbanization in a short period. This stu...
Clinton, N., and Gong, P., 2013. MODIS detected surface?urban heat islands and sinks: Global locations?and controls. Remote Sensing of Environment,?134, 294-304. https://doi.org/10.1016/j.rse.2013.03.008
Guha, S., Govil, H., Dey, A., and Gill, N., 2018. Analytical?study of land surface temperature with NDVI?and NDBI using Landsat 8 OLI and TIRS data?in Florence and Naples city, Italy. European?Journal of Remote Sensing, 51(1), 667-678.?https://doi.org/10.1080/22797254.2018.1474494
Kim, S., and Lee, S., 2020. Determinants of residential?environment satisfaction in the second-generation?new towns of the Seoul metropolitan area using?web crawling and text mining. Journal of Korea?Planning Association, 55(7), 5-20. https://doi.org/10.17208/jkpa.2020.12.55.7.5
Kim, W., Lim, H., and Shin, H., 2021. Extraction of?the severe heat island districts in urban areas by?the clustering technique of land surface temperature?distribution using satellite imagery. Journal of?Korean Society for Atmospheric Environment,?37(4), 578-599. https://doi.org/10.5572/KOSAE.2021.37.4.578
Lee, K., Kim, Y., Sung, H. C., Ryu, J., and Jeon, S.?W., 2020. Trend analysis of urban heat island?intensity according to urban area change in Asian?mega cities. Sustainability, 12(1), 112. https://doi.org/10.3390/su12010112
Lee, S., and Han, J., 2019. Analysis of the relationship?between three-dimensional built environment?and urban surface temperature. Journal of Korea?Planning Association, 54(2), 93-108. https://doi.org/10.17208/jkpa.2019.04.54.2.93
Li, Y., Schubert, S., Kropp, J. P., and Rybski, D., 2020. On the influence of density and morphology on the?urban heat island intensity. Nature Communications,?11, 2647. https://doi.org/10.1038/s41467-020-16461-9
Miles, V., and Esau, I., 2017. Seasonal and spatial?characteristics of urban heat islands (UHIs) in?Northern West Siberian cities. Remote Sensing,?9(10), 989. https://doi.org/10.3390/rs9100989
Ministry of Land, Infrastructure and Transport and Korea?Land and Housing Cooperation, 2021. 2020 city?planning status. Available online: https://www.eum.go.kr/web/cp/st/stUpisStatDet.jsp (accessed?on July 10, 2023).
Qaid, A., Lamit, H. B., Ossen, D. R., and Shahminan,?R. N. R., 2016. Urban heat island and thermal?comfort conditions at micro-climate scale in a?tropical planned city. Energy and Buildings, 133,?577-595. https://doi.org/10.1016/j.enbuild.2016.10.006
Rendana, M., Idris, W. M. R., Rahim, S. A., Abdo, H.?G., Almohamad, H., Al Dughairi, A. A. et al., 2023. Relationships between land use types and?urban heat island intensity in Hulu Langat district,?Selangor, Malaysia. Ecological Processes, 12, 33.?https://doi.org/10.1186/s13717-023-00446-9
Saha, P., Bandopadhyay, S., Kumar, C., and Mitra, C., 2020. Multi-approach synergic investigation between?land surface temperature and land-use land-cover.?Journal of Earth System Science, 129, 74. https://doi.org/10.1007/s12040-020-1342-z
Sekertekin, A., and Bonafoni, S., 2020. Land surface?temperature retrieval from Landsat 5, 7, and 8?over rural areas: Assessment of different retrieval?algorithms and emissivity models and toolbox?implementation. Remote Sensing, 12(2), 294.?https://doi.org/10.3390/rs12020294
Sobrino, J. A., Jimenez-Munoz, J. C., and Paolini, L., 2004. Land surface temperature retrieval from?LANDSAT TM 5. Remote Sensing of Environment,?90(4), 434-440. https://doi.org/10.1016/j.rse.2004.02.003
Sun, J., Yang, J., Zhang, C., Yun, W., and Qu, J., 2013.?Automatic remotely sensed image classification?in a grid environment based on the maximum?likelihood method. Mathematical and Computer?Modelling, 58(3-4), 573-581. https://doi.org/10.1016/j.mcm.2011.10.063
Tariq, A., and Shu, H., 2020. CA-Markov chain analysis?of seasonal land surface temperature and land use?land cover change using optical multi-temporal?satellite data of Faisalabad, Pakistan. Remote?Sensing, 12(20), 3402. https://doi.org/10.3390/rs12203402
Tran, D. X., Pla, F., Latorre-Carmona, P., Myint, S. W.,?Caetano, M., and Kieu, H. V., 2017. Characterizing?the relationship between land use land cover change?and land surface temperature. ISPRS Journal of?Photogrammetry and Remote Sensing, 124, 119-132. https://doi.org/10.1016/j.isprsjprs.2017.01.001
Viera, A. J., and Garrett, J. M., 2005. Understanding?interobserver agreement: The kappa statistic. Family?Medicine, 37(5), 360-363.
Voogt, J. A., and Oke, T. R., 2003. Thermal remote?sensing of urban climates. Remote Sensing of?Environment, 86(3), 370-384. https://doi.org/10.1016/S0034-4257(03)00079-8
Yeo, I., Yee, J. J., and Yoon, S. H., 2009. Analysis on?the effects of building coverage ratio and floor space index on urban climate. Journal of the?Korean Solar Energy Society, 29(3), 19-27.
Yu, X., Guo, X., and Wu, Z., 2014. Land surface?temperature retrieval from Landsat 8 TIRS-comparison between radiative transfer equation-based method, split window algorithm and single?channel method. Remote Sensing, 6(10), 9829-9852. https://doi.org/10.3390/rs6109829
Zanter, K., 2019. Landsat 8 data users handbook. Available?online: https://www.usgs.gov/landsat-missions/landsat-8-data-users-handbook (accessed on July?25, 2023).
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