Surface Urban Heat Island for the Cities of Asunción and Montevideo During 2001-2016
DOI:
https://doi.org/10.11137/1982-3908_2026_49_68846Palavras-chave:
Vegetation index, Microclimate, Land useResumo
This contribution estimates the Surface Urban Heat Island (SUHI) intensity during the period 2001-2016 for the Metropolitan Areas of Asunción (AMA) and Montevideo (AMM), located in Paraguay and Uruguay respectively. To quantify the SUHI, the quantile method was used at 0.05° resolution, obtained from the MODerate resolution Imaging Spectroradiometer (MODIS) sensor on board the TERRA and AQUA satellites. The daytime SUHI intensity, obtained with the quantile method in the AMA and AMM, shows the maximum value in December, 4.5 ºC and 0.5 ºC respectively. The quantile method proves to be a robust approach for estimating SUHI intensity, as it is independent of terrain geometry and topography. The analysis defined urban, transitional, and rural areas using the International Geosphere Biosphere Programme (IGBP) method, and was conducted at a scale temporal monthly. Results indicate a consistent increase in urban surface temperatures, particularly in rapidly growing cities, intensifying thermal stress. This study contributes by analyzing the increase in surface temperature, providing a reliable framework for SUHI assessment and supporting targeted urban planning strategies.
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Referências
Apud, A., Delgado, J. & de la Barrera, F. 2020, ‘Suitability analysis and planning of green infrastructure in Montevideo, Uruguay’, Sustainability, vol. 12, no. 22, art. 9683, DOI: 10.3390/su12229683
Dousset, B. & Gourmelon, F. 2003, ‘Satellite multi-sensor data analysis of urban surface temperatures and land cover’, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 58, no. 1–2, pp. 43–54, DOI: 10.1016/S0924-2716(03)00016-9
Duan, X., Haseeb, M., Tahir, Z., Mahmood, S.A., Tariq, A., Jamil, A., Ullah, S. & Abdullah-Al-Wadud, M. 2025, ‘A geospatial and statistical analysis of land surface temperature in response to land use land cover changes and urban heat island dynamics’, Scientific Reports, vol. 15, no. 1, art. 4943, DOI: 10.1038/s41598-025-89167-x
Frasca, D. & Amorim, T. 2022, ‘Multicriteria Spatial Modeling: Methodological Contribution to the Analysis of Atmospheric and Surface Heat Islands in Presidente Prudente, Brazil’, Climate, vol. 10, no. 4, art. 56, DOI: 10.3390/cli10040056
Hu, J., Yuan, L., Li, X., Chen, Z., Wang, C., & Dai, Y. 2022, ‘Spatial patterns and temporal variations of footprint and intensity of surface urban heat island in 141 China cities’, Sustainable Cities and Society, vol. 77, art. 103585, DOI: 10.1016/j.scs.2021.103585
INEI (Instituto Nacional de Estadística e Informática) 2007, Dinâmica poblacional, INEI, Lima, http://proyectos.inei.gob.pe/web/biblioineipub/bancopub/Est/Lib0901/cap0
Li, D. & Bou-Zeid, E. 2013, ‘Synergistic interactions between urban heat islands and heat waves: The impact in cities is larger than the sum of its parts’, Journal of Applied Meteorology and Climatology, vol. 52, no. 9, pp. 2051–2064, DOI: 10.1175/JAMC-D-13-02.1
Li, Y., Feng, Z., Li, L., Li, T., Guo, F., Wei, J., Yan, Y., & Wang, L. 2022, ‘Surface urban heat islands in 932 urban region agglomerations in China during the morning and before midnight: spatial-temporal changes, drivers, and simulation’, Geocarto International, vol. 37, no. 26, pp. 13689-13710, DOI: 10.1080/10106049.2022.2082552
Lins Leonardo, H.R.de A., Almeida, D.N.O.de, Amorim, A.R.de, Paiva, A.L.R.de, Oliveira, L.M.M.de & Santos, S.M.dos 2024, ‘Remote sensing applied to biophysical parameters and land cover to identify urban heat islands in Recife (PE), Brazil’, Revista Brasileira de Ciências Ambientais, vol. 60, e2107, DOI: 10.5327/z2176-94782107
Marzban, F., Sodoudi, S. & Preusker, R. 2018, ‘The influence of land-cover type on the relationship between NDVI–LST and LST-Tair’, International Journal of Remote Sensing, vol. 39, no. 5, pp. 1377–1398, DOI: 10.1080/01431161.2017.1402386
Mehmood, M.S., Zafar, Z., Sajjad, M., Hussain, S., Zhai, S. & Qin, Y. 2023, ‘Time Series Analyses and Forecasting of Surface Urban Heat Island Intensity Using ARIMA Model in Punjab, Pakistan’, Land, vol. 12, no. 1, art. 142, DOI: 10.3390/land12010142
Nayak, D.P. & Fulekar, M.H. 2017, ‘Coastal Geomorphological and Land Use and Land Cover Study on Some Sites of Gulf of Kachchh, Gujarat, West Coast of India using Multi-Temporal Remote Sensing Data’, International Journal of Advanced Remote Sensing and GIS, vol. 6, no. 1, pp. 2225–2237, DOI: 10.23953/cloud.ijarsg.273
Oke, T.R. 1988, ‘The urban energy balance’, Progress in Physical Geography, vol. 12, no. 4, DOI: 10.1177/030913338801200401
Orlando, L. & Berazategui, M. 2024, ‘An urban ecology primer for Montevideo: Heat island in a Latin American social-ecological context’, Urban Climate, vol. 57, art. 102091, DOI: 10.1016/j.uclim.2024.102091
Peel, M.C., Finlayson, B.L. & McMahon, T.A. 2007, ‘Updated world map of the Köppen–Geiger climate classification’, Hydrology and Earth System Sciences, vol. 11, no. 5, pp. 1633–1644, DOI: 10.5194/hess-11-1633-2007
Peng, S., Piao, S., Ciais, P., Friedlingstein, P., Ottle, C., Bréon, F.M., Nan, H., Zhou, L. & Myneni, R.B. 2012, ‘Surface urban heat island across 419 global big cities’, Environmental Science & Technology, vol. 46, no. 2, pp. 696–703, DOI: 10.1021/es2030438
Seto, K.C., Fragkias, M., Güneralp, B. & Reilly, M.K. 2011, ‘A meta-analysis of global urban land expansion’, PLOS ONE, vol. 6, no. 8, e23777, DOI: 10.1371/journal.pone.0023777
Schneider, A., Friedl, M., McIver, D. & Woodcock, C. 2003, ‘Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data’, Photogrammetric Engineering & Remote Sensing, vol. 69, no. 12, pp. 1377–1386, DOI: 10.14358/PERS.69.12.1377
Si, M., Zhou, J., Tang, W., Liu, X., Wang, N., & Ma, A. 2022, ‘Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data’, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 183, DOI: 10.1016/j.isprsjprs.2021.11.017
Sultana, S.R., Ali, A., Ahmad, A., Mubeen, M., Zia-ul-Haq, M., Ahmad, S., Khan, M.A. & Khaliq, T. 2014, ‘Normalized difference vegetation index as a tool for wheat yield estimation: A case study from Faisalabad, Pakistan’, The Scientific World Journal, vol. 2014, DOI: 10.1155/2014/725326
UN-Habitat 2012, State of Latin American and Caribbean Cities: Towards a new urban transition, UN-Habitat, Nairobi.
United Nations, Department of Economic and Social Affairs, Population Division 2014, World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352), United Nations, New York, https://population.un.org/wup/
United Nations, Department of Economic and Social Affairs, Population Division 2019, World Urbanization Prospects: The 2018 Revision (ST/ESA/SER.A/420), United Nations, New York.
Wu, X., Wang, G., Yao, R., Wang, L., Yu, D. & Gui, X. 2019, ‘Investigating surface urban heat islands in South America based on MODIS data from 2003-2016’, Remote Sensing, vol. 11, no. 10, art. 1212, DOI: 10.3390/rs11101212
Yuan, Y., Peng, J., Li, Y., Wang, X., Zhou, D. & Meili, N. 2025, ‘Surface urban heat island effects intensify more rapidly in lower income countries’, npj Urban Sustainability, vol. 5, no. 1, pp. 1–11, DOI: 10.1038/s42949-025-00198-9
Zhou, D., Zhao, S., Liu, S., Zhang, L., & Zhu, C. 2014a, ‘Surface urban heat island in China’s 32 major cities: Spatial patterns and drivers’, Remote Sensing of Environment, vol. 152, pp. 51–61, DOI: 10.1016/j.rse.2014.05.017
Zhou, Y., Smith, S.J., Elvidge, C.D., Zhao, K., Thomson, A. & Imhoff, M.L. 2014b, ‘A cluster-based method to map urban area from DMSP/OLS nightlights’, Remote Sensing of Environment, vol. 147, pp. 173–185, DOI: 10.1016/j.rse.2014.03.004
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