Landsat-8 TIRS Data for Assessing Urban Heat Island Effect and Its Impact on Human Health

Sagris, Valentina; Sepp, Mait

doi:10.1109/lgrs.2017.2765703

Cited by 28 publications

(9 citation statements)

References 16 publications

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“…Evidence about the relevance of age to the increase of heat related mortality have been observed in different cities [4,21,29]. Qualitative [30] as well as quantitative studies [31][32][33][34] on heat stress agree that the temperature-related mortality risk increases in the elderly. Moreover, according to an investigation by Leone et al [29] that considered different age-group thresholds in different Mediterranean cities, none of the studies provide evidence of direct health effects among young persons [29].…”

Section: Urban Population Susceptibilitymentioning

confidence: 99%

Social inequalities in heat-attributable mortality in the city of Turin, northwest of Italy: a time series analysis from 1982 to 2018

et al. 2020

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Background Understanding context specific heat-health risks in urban areas is important, especially given anticipated severe increases in summer temperatures due to climate change effects. We investigate social inequalities in the association between daily temperatures and mortality in summer in the city of Turin for the period 1982–2018 among different social and demographic groups such as sex, age, educational level, marital status and household occupants. Methods Mortality data are represented by individual all-cause mortality counts for the summer months between 1982 and 2018. Socioeconomic level and daily mean temperature were assigned to each deceased. A time series Poisson regression with distributed lag non-linear models was fitted to capture the complex nonlinear dependency between daily mortality and temperature in summer. The mortality risk due to heat is represented by the Relative Risk (RR) at the 99th percentile of daily summer temperatures for each population subgroup. Results All-cause mortality risk is higher among women (1.88; 95% CI = 1.77, 2.00) and the elderly (2.13; 95% CI = 1.94, 2.33). With regard to education, the highest significant effects for men is observed among higher education levels (1.66; 95% CI = 1.38, 1.99), while risks for women is higher for the lower educational level (1.93; 95% CI = 1.79, 2.08). Results on marital status highlighted a stronger association for widower in men (1.66; 95% CI = 1.38, 2.00) and for separated and divorced in women (2.11; 95% CI = 1.51, 2.94). The risk ratio of household occupants reveals a stronger association for men who lived alone (1.61; 95% CI = 1.39, 1.86), while for women results are almost equivalent between alone and not alone groups. Conclusions The associations between heat and mortality is unequal across different aspects of social vulnerability, and, inter alia, factors influencing the population vulnerability to temperatures can be related to demographic, social, and economic aspects. A number of issues are identified and recommendations for the prioritisation of further research are provided. A better knowledge of these effect modifiers is needed to identify the axes of social inequality across the most vulnerable population sub-groups.

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Section: Urban Population Susceptibilitymentioning

confidence: 99%

Social inequalities in heat-attributable mortality in the city of Turin, northwest of Italy: a time series analysis from 1982 to 2018

et al. 2020

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“…Population size [1], especially in cities with continental climate [133], economics, social, environmental, population health, anthropogenic heat flux [134][135][136][137][138][139][140][141][142][143][144], and in specific events/actions [91,145].…”

Section: Social Economic and Healthmentioning

confidence: 99%

Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review

2021

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Urban Heat Islands (UHI) consist of the occurrence of higher temperatures in urbanized areas when compared to rural areas. During the warmer seasons, this effect can lead to thermal discomfort, higher energy consumption, and aggravated pollution effects. The application of Remote Sensing (RS) data/techniques using thermal sensors onboard satellites, drones, or aircraft, allow for the estimation of Land Surface Temperature (LST). This article presents a systematic review of publications in Scopus and Web of Science (WOS) on UHI analysis using RS data/techniques and LST, from 2000 to 2020. The selection of articles considered keywords, title, abstract, and when deemed necessary, the full text. The process was conducted by two independent researchers and 579 articles, published in English, were selected. Qualitative and quantitative analyses were performed. Cfa climate areas are the most represented, as the Northern Hemisphere concentrates the most studied areas, especially in Asia (69.94%); Landsat products were the most applied to estimates LST (68.39%) and LULC (55.96%); ArcGIS (30.74%) was most used software for data treatment, and correlation (38.69%) was the most applied statistic technique. There is an increasing number of publications, especially from 2016, and the transversality of UHI studies corroborates the relevance of this topic.

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“…UHI is studied as surface UHI (SUHI) and as atmospheric UHI (AUHI). The intensity of SUHI is often measured using remotely sensed Land Surface Temperature (LST) often derived from Landsat thermal bands (Sagris and Sepp, 2017), MODIS LST products (Sidiqui et al, 2016) and ASTER thermal data (dos Santos et al, 2017). For measuring atmospheric UHI, air temperature observations are used, which are either mobile observations recorded with a moving vehicle mounted with data logger (dos Santos et al, 2017) or the meteorological station observations (Arnds et al, 2017).…”

Section: Urban Heat Island Exposure In Urban Areasmentioning

confidence: 99%

Nature-Based Solutions for Co-mitigation of Air Pollution and Urban Heat in Indian Cities

Menon

Sharma

2021

Front. Sustain. Cities

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The urban population is subjected to multiple exposures of air pollution and heat stress and bear severe impacts on their health and well-being in terms of premature deaths and morbidity. India tops the list of countries with the highest air pollution exposure and hosts some of the most polluted cities in the world. Similarly, Indian cities are highly vulnerable to extreme heat with the frequency of heatwaves expected to increase several-fold in urban areas in India. It is reported that mitigating air pollution could reduce the rural-urban difference of the incoming radiation thus resulting in mitigation of the urban heat island effect. Since the interaction between urban heat and air pollution is dynamic and complex, both these factors should be considered by the urban authorities in designing mitigation strategies. Given the multi-functional nature and cost-effectiveness of Nature-Based Solutions (NbS), they appear to be the most appropriate remedy for environmental issues of urban areas, particularly in developing countries. In addition to improving public health (through the reduction in air pollution and urban heat), NbS also provides a wide range of co-benefits such as reducing energy cost and health costs as well as conservation of biodiversity. This review is an attempt to understand the potentials of NbS in co-mitigating air pollution and urban heat in Indian cities. A framework for the planning and design of NbS in Indian cities is also proposed based on the review that could help city planners and decision-makers in addressing these two issues in an integrated manner.

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Landsat-8 TIRS Data for Assessing Urban Heat Island Effect and Its Impact on Human Health

Cited by 28 publications

References 16 publications

Social inequalities in heat-attributable mortality in the city of Turin, northwest of Italy: a time series analysis from 1982 to 2018

Social inequalities in heat-attributable mortality in the city of Turin, northwest of Italy: a time series analysis from 1982 to 2018

Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review

Nature-Based Solutions for Co-mitigation of Air Pollution and Urban Heat in Indian Cities

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