The urban heat island in Rio de Janeiro, Brazil, in the last 30 years using remote sensing data

Peres, Leonardo F.; Lucena, Andrews José de; Filho, Otto Corrêa Rotunno; França, José Ricardo de Almeida

doi:10.1016/j.jag.2017.08.012

Cited by 112 publications

(64 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They are used for various applications including highly detailed land use/land cover mapping. For example, maps of health relevant urban features like green spaces (e.g., [37,38]), Urban Heat Islands (UHI) [39][40][41], or air pollution [42,43] provide consistent information about environmental conditions. In this way, the availability of high resolution environmental data in large spatial extents can be considered a big step towards understanding the spatial heterogeneity both on a very high level of spatial and thematic detail as well as large area coverage.…”

Section: Spatial Scale In Environmental Justice Researchmentioning

confidence: 99%

“…However, since early on remote sensing data were identified as a valuable source measure UHI [146,147] because ground temperatures can be measured from space using thermal infrared sensors (4 to 20 µm [73]). Lately, thermal infrared sensors from satellite imagery with high spatial resolution, such as Landsat TM/ETM+ or Landsat-8/TIRS, were used to measure temperature in urban environments on large scales and thus quantify the UHI effects (e.g., [41,148,149]). In addition to that, Meng et al [39] highlighted the existence of intra-day temperature variations by examining both daytime and nocturnal MODIS imagery.…”

Section: Derivationmentioning

confidence: 99%

See 1 more Smart Citation

Remote Sensing in Environmental Justice Research—A Review

Weigand

Wurm

Dech

et al. 2019

IJGI

View full text Add to dashboard Cite

Human health is known to be affected by the physical environment. Various environmental influences have been identified to benefit or challenge people’s physical condition. Their heterogeneous distribution in space results in unequal burdens depending on the place of living. In addition, since societal groups tend to also show patterns of segregation, this leads to unequal exposures depending on social status. In this context, environmental justice research examines how certain social groups are more affected by such exposures. Yet, analyses of this per se spatial phenomenon are oftentimes criticized for using “essentially aspatial” data or methods which neglect local spatial patterns by aggregating environmental conditions over large areas. Recent technological and methodological developments in satellite remote sensing have proven to provide highly detailed information on environmental conditions. This narrative review therefore discusses known influences of the urban environment on human health and presents spatial data and applications for analyzing these influences. Furthermore, it is discussed how geographic data are used in general and in the interdisciplinary research field of environmental justice in particular. These considerations include the modifiable areal unit problem and ecological fallacy. In this review we argue that modern earth observation data can represent an important data source for research on environmental justice and health. Especially due to their high level of spatial detail and the provided large-area coverage, they allow for spatially continuous description of environmental characteristics. As a future perspective, ongoing earth observation missions, as well as processing architectures, ensure data availability and applicability of ’big earth data’ for future environmental justice analyses.

show abstract

Section: Spatial Scale In Environmental Justice Researchmentioning

confidence: 99%

Section: Derivationmentioning

confidence: 99%

Remote Sensing in Environmental Justice Research—A Review

Weigand

Wurm

Dech

et al. 2019

IJGI

View full text Add to dashboard Cite

show abstract

“…Durante os 50 anos de 1956 a 2005, a temperatura média do planeta aumentou 0,65 °C. Associada a essa ação, existe a contribuição das ilhas de calor urbanas, as quais foram observadas em cidades com apenas 5.000 habitantes (Benz et al, 2017) e para a cidade do Rio de Janeiro (Peres et al, 2018), bem como a intensificação do processo de urbanização da cidade (Silva e Dereczynski, 2014). Consoante, há a intensificação desse aumento da temperatura em função de um evento extremo de El Niño, como já foi verificado por Farias e Brandão (2010).…”

Section: Methodsunclassified

Aumento das temperaturas extremas na cidade do Rio de Janeiro e o desvio ocasionado durante um evento de El Niño intenso (Thermal change in the city of Rio de Janeiro and the deviation caused during an intense El Niño event)

Wanderley

Fernandes

2019

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

O processo de urbanização tem o potencial de alterar a característica térmica e aerodinâmica da superfície dos grandes centros urbanos, possibilitando o aumento da temperatura do ar. No entanto, a correlação da intensificação da temperatura do ar em áreas urbanas em resposta a um evento extremo de El Niño é escassa, principalmente no que se refere à cidade do Rio de Janeiro. Assim, o objetivo deste estudo visa quantificar as mudanças ocorridas na temperatura do ar (máxima e mínima) na cidade do Rio de Janeiro e o desvio ocasionado às temperaturas extremas durante um evento de El Niño intenso. Os dados de temperatura do ar utilizados referem-se às normais climatológicas nos períodos climatológicos de 1961-1990 e 1980-2010, comparados entre si, e posteriormente, comparou-se as normais climatológicas do período de 1980-2010 com as do El Niño intenso de 2015-2016. Para a análise, dados de temperatura mínima e máxima do ar em uma escala mensal foram comparados. As médias mensais das temperaturas em análise foram submetidas ao ajuste do coeficiente de correlação de Pearson, ao teste t de Student e ao teste de Kolmogorov-Smirnov. Os resultados mostraram um aumento médio na temperatura do ar mínima (máxima) de +0,66 °C e +0,73 °C (+1,21 °C e +0,90 °C), respectivamente entre os períodos climatológicos e o último período climatológico com o evento El Niño intenso, entretanto, sem diferença estatística para o aumento da média e de sua distribuição. A B S T R A C TUrbanization process has potential to change the thermal and aerodynamic characteristics of large urban centers surface, allowing the increase of air temperature. However, correlation of air temperature intensification in urban areas in response to an extreme event of El Niño is scarce, especially in relation to the city of Rio de Janeiro. Thus, the objective of this study is to quantify the changes occurred in the air temperature (maximum and minimum) in the city of Rio de Janeiro and the deviation caused to extreme temperatures during an intense event of El Niño. Data of air temperature data refer to the climatological normals in the periods of 1961-1990 and 1980-2010, and intense event of El Niño occurred in 2015-2016. For the analysis, minimum and maximum air temperature data on a monthly scale were compared. Monthly mean values of the air temperature under analysis were adjusted to the Pearson correlation coefficient, Student's t-test and Kolmogorov-Smirnov test. The results showed a mean increase in minimum (maximum) air temperature of +0.66 °C and +0.73 °C (+1.21 °C and +0.90 °C), respectively between the climatological periods and the last climatological period with the intense event of El Niño, however, with no statistical difference for the increase of the mean and its distribution.Keywords: Urban climate, ENSO, air temperature.

show abstract

“…The mean NDLST value of the IS category represents the mean temperature of the urban area. In contrast, the corresponding mean NDLST value of non-IS categories indicates the mean temperature of the rural area [70]. Thus, the magnitudes of SUHII (SUHII magnitude ) can be described as Equation 3, and the NDLST differences of land cover surfaces manifest the role of each land cover type in the thermal environment:…”

Section: Suhii and Murimentioning

confidence: 99%

Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China

et al. 2020

View full text Add to dashboard Cite

Satellite-derived land surface temperature (LST) reveals the variations and impacts on the terrestrial thermal environment on a broad spatial scale. The drastic growth of urbanization-induced impervious surfaces and the urban population has generated a remarkably increasing influence on the urban thermal environment in China. This research was aimed to investigate land surface temperature (LST) intensity response to urban land cover/use by examining the thermal impact on urban settings in ten Chinese megacities (i.e., Beijing, Dongguan, Guangzhou, Hangzhou, Harbin, Nanjing, Shenyang, Suzhou, Tianjin, and Wuhan). Surface urban heat island (SUHI) footprints were scrutinized and compared by magnitude and extent. The causal mechanism among land cover composition (LCC), population, and SUHI was also identified. Spatial patterns of the thermal environments were identical to those of land cover/use. In addition, most impervious surface materials (greater than 81%) were labeled as heat sources, on the other hand, water and vegetation were functioned as heat sinks. More than 85% of heat budgets in Beijing and Guangzhou were generated from impervious surfaces. SUHI for all megacities showed spatially gradient decays between urban and surrounding rural areas; further, temperature peaks are not always dominant in the urban core, despite extremely dense impervious surfaces. The composition ratio of land cover (LCC%) negatively correlates with SUHI intensity (SUHII), whereas the population positively associates with SUHII. For all targeted megacities, land cover composition and population account for more than 63.9% of SUHI formation using geographically weighted regression. The findings can help optimize land cover/use to relieve pressure from rapid urbanization, maintain urban ecological balance, and meet the demands of sustainable urban growth.

show abstract

The urban heat island in Rio de Janeiro, Brazil, in the last 30 years using remote sensing data

Cited by 112 publications

References 50 publications

Remote Sensing in Environmental Justice Research—A Review

Remote Sensing in Environmental Justice Research—A Review

Aumento das temperaturas extremas na cidade do Rio de Janeiro e o desvio ocasionado durante um evento de El Niño intenso (Thermal change in the city of Rio de Janeiro and the deviation caused during an intense El Niño event)

Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China

Contact Info

Product

Resources

About