Analysis of Surface Urban Heat Island and Land Surface Temperature Using Deep Learning Based Local Climate Zone Classification: A Case Study of Suwon and Daegu, Korea |
Lee, Yeonsu
(Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology)
Lee, Siwoo (School of Convergence & Fusion System Engineering, Kyungpook National University) Im, Jungho (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology) Yoo, Cheolhee (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology) |
1 | Bechtel, B., P.J. Alexander, J. Bohner, J. Ching, O. Conrad, J. Feddema, G. Mills, L. See, and I. Stewart, 2015. Mapping local climate zones for a worldwide database of the form and function of cities, ISPRS International Journal of Geo-Information, 4(1): 199-219. DOI |
2 | Bechtel, B., M. Demuzere, G. Mills, W. Zhan, P. Sismanidis, C. Small, and J. Voogt, 2019. SUHI analysis using Local Climate Zones-A comparison of 50 cities, Urban Climate, 28: 100451. DOI |
3 | Budhiraja, B., L. Gawuc, and G. Agrawal, 2019. Seasonality of surface urban heat island in Delhi City region measured by local climate zones and conventional indicators, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(12): 5223-5232. DOI |
4 | Elmes, A., M. Healy, N. Geron, M.M. Andrews, J. Rogan, D.G. Martin, F. Sangermano, C.A. Williams, and B. Weil, 2020. Mapping spatiotemporal variability of the urban heat island across an urban gradient in Worcester, Massachusetts using in-situ Thermochrons and Landsat-8 Thermal Infrared Sensor (TIRS) data, GIScience and Remote Sensing, 57(7): 845-864. DOI |
5 | Fallmann, J., R. Forkel, and S. Emeis, 2016. Secondary effects of urban heat island mitigation measures on air quality, Atmospheric Environment, 125: 199-211. DOI |
6 | Geletic, J., M. Lehnert, S. Savic, and D. Milosevic, 2019. Inter-/intra-zonal seasonal variability of the surface urban heat island based on local climate zones in three central European cities, Building and Environment, 156: 21-32. DOI |
7 | Hu, J., P. Ghamisi, and X.X. Zhu, 2018. Feature extraction and selection of sentinel-1 dual-pol data for global-scale local climate zone classification, ISPRS International Journal of Geo-Information, 7(9): 379. DOI |
8 | Kim, H.-O. and J.-M. Yeom, 2012. Effect of the Urban Land Cover Types on the Surface Temperature: Case Study of Ilsan New City, Korean Journal of Remote Sensing, 28(2): 203-214 (in Korean with English abstract). DOI |
9 | Zhou, Y. and J.M. Shepherd, 2010. Atlanta's urban heat island under extreme heat conditions and potential mitigation strategies, Natural Hazards, 52(3): 639-668. DOI |
10 | Yoo, C., Y. Lee, D. Cho, J. Im, and D. Han, 2020. Improving local climate zone classification using incomplete building data and sentinel 2 images based on convolutional neural networks, Remote Sensing, 12(21): 1-22. |
11 | Oke, T.R., 1995. The heat island of the urban boundary layer: characteristics, causes and effects, In Wind Climate in Cities, 277: 81-107. DOI |
12 | Kim, M., J. Lee, and J. Im, 2018. Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data, GIScience and Remote Sensing, 55(5): 763-792. DOI |
13 | Kim, Y.-H. and J.-J. Baik, 2005. Spatial and Temporal Structure of the Urban Heat Island in Seoul, American Meteorological Society, 44(5): 591-605. |
14 | Kong, H., N. Choi, and S. Park, 2020. Human Thermal Environment Analysis with Local Climate Zones and Surface Types in the Summer Nighttime-Homesil Residential Development District, Suwon-si, Gyenggi-do, Korean Society of Ecology and Infrastructure Engineering, 7(4): 227-237 (in Korean with English abstract). |
15 | Lee, J., J. Im, D. H. Cha, H. Park, and S. Sim, 2020. Tropical cyclone intensity estimation using multidimensional convolutional neural networks from geostationary satellite data, Remote Sensing, 12(1): 108. DOI |
16 | Mendelsohn, R., P. Kurukulasuriya, A. Basist, F. Kogan, and C. Williams, 2007. Climate analysis with satellite versus weather station data, Climatic Change, 81(1): 71-83. DOI |
17 | Perera, N.G.R. and R. Emmanuel, 2018. A "Local Climate Zone" based approach to urban planning in Colombo, Sri Lanka, Urban Climate, 23: 188-203. DOI |
18 | Salata, F., I. Golasi, D. Petitti, E. de Lieto Vollaro, M. Coppi, and A. de Lieto Vollaro, 2017. Relating microclimate, human thermal comfort and health during heat waves: An analysis of heat island mitigation strategies through a case study in an urban outdoor environment, Sustainable Cities and Society, 30: 79-96. DOI |
19 | Tan, J., Y. Zheng, X. Tang, C. Guo, L. Li, G. Song, X. Zhen, D. Yuan, Adam J. Kalkstein, F. Li and H. Chen, 2010. The urban heat island and its impact on heat waves and human health in Shanghai, International Journal of Biometeorology, 54(1): 75-84. DOI |
20 | Theeuwes, N.E., G.J. Steeneveld, R.J. Ronda, M.W. Rotach, and A.A. Holtslag, 2015. Cool city mornings by urban heat, Environmental Research Letters, 10(11): 114022. DOI |
21 | Unger, J., E. Lelovics, and T. Gal, 2014. Local Climate Zone mapping using GIS methods in Szeged, Hungarian Geographical Bulletin, 63(1): 29-41. DOI |
22 | Zhou, D., S. Zhao, S. Liu, L. Zhang, and C. Zhu, 2014. Surface urban heat island in China's 32 major cities: Spatial patterns and drivers, Remote Sensing of Environment, 152: 51-61. DOI |
23 | Hafner, J. and S.Q. Kidder, 1999. Urban heat island modeling in conjunction with satellite-derived surface/soil parameters, Journal of Applied Meteorology, 38(4): 448-465. DOI |
24 | United Nations, Department of Economic and Social Affairs, Population Division, 2018. World Urbanization Prospects: The 2018 Revision (ST/ESA/SER.A/420), Department of Economic and Social Affairs, New York, NY, USA. |
25 | Clinton, N. and P. Gong, 2013. MODIS detected surface urban heat islands and sinks: Global locations and controls, Remote Sensing of Environment, 134: 294-304. DOI |
26 | Thomas, G., A.P. Sherin, S. Ansar, and E.J. Zachariah, 2014. Analysis of Urban Heat Island in Kochi, India, Using a Modified Local Climate Zone Classification, Procedia Environmental Sciences, 21: 3-13. DOI |
27 | Zhang, C., S. Wei, S. Ji, and M, Lu, 2019. Detecting large-scale urban land cover changes from very high resolution remote sensing images using CNN-based classification, ISPRS International Journal of Geo-Information, 8(4): 189. DOI |
28 | Yadav, N., C. Sharma, S.K. Peshin, and R. Masiwal, 2017. Study of intra-city urban heat island intensity and its influence on atmospheric chemistry and energy consumption in Delhi, Sustainable Cities and Society, 32: 202-211. DOI |
29 | Yoo, C., D. Han, J. Im, and B. Bechtel, 2019. Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images, ISPRS Journal of Photogrammetry and Remote Sensing, 157: 155-170. DOI |
30 | Zhou, W., Y. Qian, X. Li, W. Li, and L. Han, 2014. Relationships between land cover and the surface urban heat island: Seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures, Landscape Ecology, 29(1): 153-167. DOI |
31 | Lemonsu, A., V. Viguie, M. Daniel, and V. Masson, 2015. Vulnerability to heat waves: Impact of urban expansion scenarios on urban heat island and heat stress in Paris (France), Urban Climate, 14: 586-605. DOI |
32 | Seifert, L.I., G. Weithoff, and M. Vos, 2015. Extreme heat changes post-heat wave community reassembly, Ecology and Evolution, 5(11): 2140-2148. DOI |
33 | Carranza-Garcia, M., J. Garcia-Gutierrez, and J.C. Riquelme, 2019. A framework for evaluating land use and land cover classification using convolutional neural networks, Remote Sensing, 11(3): 274. DOI |
34 | Ahn, J.S. and H.D. Kim, 2006. On the Seasonal Variation of Urban Heat Island Intensity According to Meteorological Condition in Daegu, Journal of the Environmental Sciences International, 15(6): 527-532 (in Korean with English abstract). |
35 | Bokaie, M., M.K. Zarkesh, P.D. Arasteh, and A. Hosseini, 2016. Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran, Sustainable Cities and Society, 23: 94-104. DOI |
36 | Li, X., Y. Zhou, G. R. Asrar, M. Imhoff, and X. Li, 2017. The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States, Science of the Total Environment, 605: 426-435. DOI |
37 | Kim, K. and J.-H. Eum, 2017. Classification of Local Climate Zone by Using WUDAPT Protocol - A Case Study of Seoul, Korea -, Journal of the Korean Institute of Landscape Architecture, 45(4): 131-142 (in Korean with English abstract). DOI |
38 | Feng, P., Y. Lin, J. Guan, Y. Dong, G. He, Z. Xia, and H. Shi, 2019. Embranchment cnn based local climate zone classification using sar and multispectral remote sensing data, Proc. of In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, JP, Jul. 28-Aug. 2, pp. 6344-6347. |
39 | Hong, J.-W., J. Hong, S.-E. Lee, and J. Lee, 2013. Spatial Distribution of Urban Heat Island based on Local Climate Zone of Automatic Weather Station in Seoul Metropolitan Area, Korean Meteorological Society, 23(4): 413-424 (in Korean with English abstract). |
40 | Kong, H., N. Choi, S. Park, J. Lee, and S. Park, 2018. A Study on Human Thermal Comfort of Residential Development Districts in Summer Season, Korean Society of Ecology and Infrastructure Engineering, 5(4): 219-228 (in Korean with English abstract). |
41 | Memon, N., H. Parikh, S.B. Patel, D. Patel, and V.D. Patel, 2021. Automatic land cover classification of multi-resolution dualpol data using convolutional neural network (CNN), Remote Sensing Applications: Society and Environment, 22: 100491. DOI |
42 | Qiu, C., M. Schmitt, L. Mou, P. Ghamisi, and X.X. Zhu, 2018. Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets, Remote Sensing, 10(10): 1572. DOI |
43 | Tan, J.G., Y.F. Zheng, L. Peng, S.Q. Gu, and J. Shi, 2008. Effect of urban heat island on heat waves in summer of Shanghai, Plateau Meteorology, 27(S1): 144-149. |
44 | Xian, G., H. Shi, R. Auch, K. Gallo, Q. Zhou, Z. Wu, and M. Kolian, 2021. The effects of urban land cover dynamics on urban heat Island intensity and temporal trends, GIScience and Remote Sensing, 58(4): 501-515. DOI |