Assessment of Urban Heat Islands in Brazil based on MODIS remote sensing data

Monteiro, Felipe Ferreira; Gonçalves, Weber Andrade; Andrade, Lára de Melo Barbosa; Villavicencio, Lourdes Milagros Mendoza; Silva, Cássia Monalisa dos Santos

doi:10.1016/j.uclim.2020.100726

Cited by 48 publications

(31 citation statements)

References 73 publications

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“…The objectives of this study were to (1) investigate urban LUC changes, (2) examine surface UHI and the urban-rural gradient, and (3) discuss the spatial relationship between the surface UHIs and the urban structure in Greater Cairo. Surface UHIs have been widely studied in tropical and temperate regions [68][69][70]. In contrast, understanding how urbanization is associated with the climate in the hot desert environment is still limited [71].…”

Section: Introductionmentioning

confidence: 99%

Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban–Rural Gradient

Athukorala

Murayama

2021

Remote Sensing

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An urban heat island (UHI) is a significant anthropogenic modification of urban land surfaces, and its geospatial pattern can increase the intensity of the heatwave effects. The complex mechanisms and interactivity of the land surface temperature in urban areas are still being examined. The urban–rural gradient analysis serves as a unique natural opportunity to identify and mitigate ecological worsening. Using Landsat Thematic Mapper (TM), Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS), Land Surface Temperature (LST) data in 2000, 2010, and 2019, we examined the spatial difference in daytime and nighttime LST trends along the urban–rural gradient in Greater Cairo, Egypt. Google Earth Engine (GEE) and machine learning techniques were employed to conduct the spatio-temporal analysis. The analysis results revealed that impervious surfaces (ISs) increased significantly from 564.14 km2 in 2000 to 869.35 km2 in 2019 in Greater Cairo. The size, aggregation, and complexity of patches of ISs, green space (GS), and bare land (BL) showed a strong correlation with the mean LST. The average urban–rural difference in mean LST was −3.59 °C in the daytime and 2.33 °C in the nighttime. In the daytime, Greater Cairo displayed the cool island effect, but in the nighttime, it showed the urban heat island effect. We estimated that dynamic human activities based on the urban structure are causing the spatial difference in the LST distribution between the day and night. The urban–rural gradient analysis indicated that this phenomenon became stronger from 2000 to 2019. Considering the drastic changes in the spatial patterns and the density of IS, GS, and BL, urban planners are urged to take immediate steps to mitigate increasing surface UHI; otherwise, urban dwellers might suffer from the severe effects of heatwaves.

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Section: Introductionmentioning

confidence: 99%

Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban–Rural Gradient

Athukorala

Murayama

2021

Remote Sensing

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“…Another key point for future studies of the centennial CWS dataset is consider that the land use and land cover is an important factor in determining the intensity of Urban Heat Islands (Monteiro et al 2021 ) which would be forcing local climate changes. Blain et al ( 2009 ) found contrasting results concerning the increasing of annual minimum temperatures across six distinct populated cities in São Paulo state, including Piracicaba, when analyzing long-term series until 2006.…”

Section: Resultsmentioning

confidence: 99%

Southeastern Brazil inland tropicalization: Köppen system applied for detecting climate change throughout 100 years of meteorological observed data

Álvares

Sentelhas

Dias

2022

Theor Appl Climatol

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Many regions around the world are facing climate changes, with substantial increase in air temperature over the past decades, which is mainly related to continental and global warming forced by the higher greenhouse gas (GHG) emissions. The objectives of this study were to use the Köppen climate classification to detect local climate change based on a historical series of 100 years and to assess if such change is related to those that are occurring in other spatial scales as a likely consequence of increasing GHG. This paper brings a content full of innovative results. The study area presented an average annual air temperature increase by 0.9 °C between 1917 and 2016, rising from 21.4 °C for the first climatological normal (1917–1946) to 22.3 °C for the last one (1987–2016). Furthermore, in the summer months, the temperature rose from 24.5 to 25.3 °C, and in the winter months, such increase was from 17.1 (1917–1946) to 18.3 °C (1987–2016). Our findings showed the subtropical conditions (Cfa in Köppen’s classification) in the study area persisted from the beginning of the analysis (1917–1946) until the climatological normal of 1979–2008, with a clear tendency of tropicalization after that with a change in the climate type of Piracicaba from subtropical to tropical, which can now be classified as tropical with dry winter (Aw climate type). The local average air temperature showed concordances with the long-term air temperature anomalies from regional, continental, and global scales, indicating that all of them may be linked with increasing GHG emissions, since well-defined long-term linear relationships ( r 2 = 0.99) were observed between continental and global average air temperature anomalies and atmospheric CO 2 concentration observed at the NOAA Lab in Mauna Loa in the last 59 years. While the local and regional forcing effects remain to be fully unraveled, our study provided a valid and strong scientific sound evidence that climate change occurred in Piracicaba, southeastern Brazil, in the last 100 years.

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“…In Urban Zone 1, the ΔT values tended to decrease after the morning period, and the results suggest existence of a ΔT with greater intensity within the urban green spaces during the hot-dry period. This is because during the daytime, urban surfaces absorb more radiation than the urban edges (Monteiro et al 2021), in this case, the rural areas. In Urban Zone 3, a higher ΔT value compared to Urban Zone 2 and Urban Zone 1 was recorded because of the con nement of the re ected radiation between the buildings in urbanised areas.…”

Section: Urban Heat Island (Uhi) and Urban Cool Island (Uci)mentioning

confidence: 99%

“…The materials used in urban environments play an important role in surface thermal balance. The impact of these materials on the urban atmosphere depends on how they absorb and re ect the incident solar radiation (Monteiro et al 2021). The major impact of urban heating is on urban land surfaces with more built-up areas, including paved surfaces (Carnielo and Zinzi 2013).…”

Section: Introductionmentioning

confidence: 99%

Urban Heat and Urban Cool Islands of Different Land Use Types in Cuiabá, Brazil

Souza

Nogueira

Santos

et al. 2021

Preprint

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Urban heat islands (UHIs), urban cool islands (UCIs), and their varying effects due to land use/land cover types and the local climate were investigated from 2014 to 2015 in three urban zones located in Cuiabá city, Brazil, during hot-humid, and hot-dry periods. All the urban zones were analysed for land use/land cover type, local climate, and rate of warming and cooling based on the difference in air temperature (ΔT) between the urban zones and the rural zone located outside the urban perimeter. The annual UHI effect in all the urban zones exhibited varying intensities during the day, with the highest daytime intensity recorded after the sunrise. The duration of UHI effect varied with land use/land cover type; a consequence of high built-up density, verticalization, waterproof surface, and other peculiarities of urban areas. In the urban zones with high built-up density, the duration of UHI effect was observed for up to 24 h, while in the urban areas with low built-up density, the maximum duration of UHI effect was 8 h. On an average, during the daytime, the urban zone with approximately 70% of vegetation cover and water bodies recorded a UCI value of approximately –8 °C, whereas the urban zones with approximately 80% waterproof surface and bare land recorded a UCI value close to +2 °C during the hot-dry and hot-humid periods. The results indicate that land use and land cover types directly influence UHI intensity.

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Assessment of Urban Heat Islands in Brazil based on MODIS remote sensing data

Cited by 48 publications

References 73 publications

Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban–Rural Gradient

Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban–Rural Gradient

Southeastern Brazil inland tropicalization: Köppen system applied for detecting climate change throughout 100 years of meteorological observed data

Urban Heat and Urban Cool Islands of Different Land Use Types in Cuiabá, Brazil

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