1 |
Yoo, C., J. Im, S. Park, and L. J. Quackenbush, 2018. Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data, ISPRS Journal of Photogrammetry and Remote Sensing, 137: 149-162.
DOI
|
2 |
Zha, Y., J. Gao, and S. Ni, 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, International Journal of Remote Sensing, 24(3): 583-594.
DOI
|
3 |
Zhang, J., Y. Wang, and Y. Li, 2006. A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6, Computers & Geosciences, 32(10): 1796-1805.
DOI
|
4 |
Zhong, S., Y. Qian, C. Zhao, R. Leung, H. Wang, B. Yang, J. Fan, H. Yan, X.-Q. Yang, and D. Liu, 2017. Urbanization-induced urban heat island and aerosol effects on climate extremes in the Yangtze River Delta region of China, Atmospheric Chemistry and Physics, 17(8): 5439-5457.
DOI
|
5 |
Pyrgou, A. and M. Santamouris, 2018. Increasing probability of heat-related mortality in a Mediterranean city due to urban warming, International Journal of Environmental Research and Public Health, 15(8): 1571.
DOI
|
6 |
Raj, K. B. G. and K. Fleming, 2008. Surface temperature estimation from Landsat ETM data for a part of the Baspa Basin, NW Himalaya, India, Bulletin of Glaciological Research, 25: 19-26.
|
7 |
Savic, S., V. Markovic, I. Secerov, D. Pavic, D. Arsenovic, D. Milosevic, D. Dolinaj, I. Nagy, and M. Pantelic, 2018. Heat wave risk assessment and mapping in urban areas: case study for a midsized Central European city, Novi Sad (Serbia), Natural Hazards, 91(3): 891-911.
DOI
|
8 |
Sharma, R., A. Ghosh, and P. K. Joshi, 2013. Spatiotemporal footprints of urbanisation in Surat, the Diamond City of India (1990-2009), Environmental Monitoring and Assessment, 185(4): 3313-3325.
DOI
|
9 |
Zanter, K., 2016. Landsat 8 (L8) data users handbook, http://www.webcitation.org/6mu9r7riR, Accessed on Dec. 5, 2019.
|
10 |
Singh, P., N. Kikon, and P. Verma, 2017. Impact of land use change and urbanization on urban heat island in Lucknow city, Central India. A remote sensing based estimate, Sustainable Cities and Society, 32: 100-114.
DOI
|
11 |
Zhang, D. L., Y. X. Shou, and R. R. Dickerson, 2009. Upstream urbanization exacerbates urban heat island effects, Geophysical Research Letters, 36(24).
|
12 |
Keeratikasikorn, C. and S. Bonafoni, 2018. Urban heat island analysis over the land use zoning plan of Bangkok by means of Landsat 8 imagery, Remote Sensing, 10(3): 440.
DOI
|
13 |
Kim, M.-K., S.-P. Kim, N.-H. Kim, and H.-G. Sohn, 2014. Urbanization and urban heat island analysis using LANDSAT imagery: Sejong city as a case study, Journal of the Korean Society of Civil Engineers, 34(3): 1033-1041.
DOI
|
14 |
Lemus-Canovas, M., J. Martin-Vide, M. C. Moreno-Garcia, and J. A. Lopez-Bustins, 2020. Estimating Barcelona's metropolitan daytime hot and cold poles using Landsat-8 Land Surface Temperature, Science of the Total Environment, 699: 134307.
DOI
|
15 |
Kaplan, G., U. Avdan, and Z. Y. Avdan, 2018. Urban heat island analysis using the landsat 8 satellite data: A case study in Skopje, Macedonia, Proceedings, 2(7): 358
DOI
|
16 |
Lopez, J. M. R., K. Heider, and J. Scheffran, 2017. Frontiers of urbanization: identifying and explaining urbanization hot spots in the south of Mexico City using human and remote sensing, Applied Geography, 79: 1-10.
DOI
|
17 |
Ochola, E. M., E. Fakharizadehshirazi, A. O. Adimo, J. B. Mukundi, J. M. Wesonga, and S. Sodoudi, 2020. Inter-local climate zone differentiation of land surface temperatures for Management of Urban Heat in Nairobi City, Kenya, Urban Climate, 31: 100540.
DOI
|
18 |
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
|
19 |
Essa, W., B. Verbeiren, J. van der Kwast, T. Van de Voorde, and O. Batelaan, 2012. Evaluation of the DisTrad thermal sharpening methodology for urban areas, International Journal of Applied Earth Observation and Geoinformation, 19: 163-172.
DOI
|
20 |
Jiang, S., X. Lee, J. Wang, and K. Wang, 2019. Amplified urban heat islands during heat wave periods, Journal of Geophysical Research: Atmospheres, 124(14): 7797-7812
DOI
|
21 |
Goswami, J., S. Roy, and S. Sudhakar, 2013. A novel approach in identification of urban hot spot using geospatial technology: a case study in Kamrup Metro District of Assam, International Journal of Geosciences, 4(05): 898.
DOI
|
22 |
Guha, S., H. Govil, A. Dey, and N. Gill, 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.
DOI
|
23 |
United Nations, 2002. World Urbanization Prospects, The 2001 Revision: Data Tables and Highlights, http://www.unpopulation.org, Accessed on Dec. 5, 2019.
|
24 |
Guo, G., Z. Wu, R. Xiao, Y. Chen, X. Liu, and X. Zhang, 2015. Impacts of urban biophysical composition on land surface temperature in urban heat island clusters, Landscape and Urban Planning, 135: 1-10.
DOI
|
25 |
Jamei, Y., P. Rajagopalan, and Q. C. Sun, 2019. Spatial structure of surface urban heat island and its relationship with vegetation and built-up areas in Melbourne, Australia, Science of the Total Environment, 659: 1335-1351.
DOI
|
26 |
Son, N.-T., C.-F. Chen, C.-R. Chen, B.-X. Thanh, and T.-H. Vuong, 2017. Assessment of urbanization and urban heat islands in Ho Chi Minh City, Vietnam using Landsat data, Sustainable Cities and Society, 30: 150-161.
DOI
|
27 |
Yoo, C., J. Im, S. Park, and D. Cho, 2017. Thermal characteristics of Daegu using land cover data and satellite-derived surface temperature downscaled based on machine learning, Korean Journal of Remote Sensing, 33(6-2): 1101-1118 (in Korean with English abstract).
DOI
|
28 |
Ward, K., S. Lauf, B. Kleinschmit, and W. Endlicher, 2016. Heat waves and urban heat islands in Europe: A review of relevant drivers, Science of the Total Environment, 569: 527-539.
DOI
|
29 |
Yang, J., S. Jin, X. Xiao, C. Jin, J. C. Xia, X. Li, and S. Wang, 2019. Local climate zone ventilation and urban land surface temperatures: Towards a performance-based and wind-sensitive planning proposal in megacities, Sustainable Cities and Society, 47: 101487.
DOI
|
30 |
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
|