Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management

Gusso, Anibal; Cafruni, Cristina Borges; Bordin, Fabiane; Veronez, Maurício Roberto; Lenz, Leticia; Crija, Sabrina

doi:10.3390/su7033129

Cited by 15 publications

(14 citation statements)

References 44 publications

(73 reference statements)

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“…As widely confirmed from literature [13][14][15]41], urban greenery mitigates SUHI: in the new district, from summer 2000 to summer 2016, the mean NDVI computed from satellite data increased from 0.19 to 0.23. Furthermore, a three-level underground car park was constructed and a significant part of the roadway transferred underground, thereby avoiding the temperature increase linked to the heat generated by the circulating vehicles on the corresponding area.…”

Section: Resultssupporting

confidence: 63%

“…In the paradigm of urban sustainable development, the mitigation of the urban heat island is a key point [6]. Different strategies to reduce UHI effects can be adopted, based on properly designing the urban texture in order to obtain energy savings and health benefits [7][8][9], such as the increase of urban surface reflectivity [10][11][12] and urban vegetation (green roofs, street trees, and green spaces) [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

et al. 2017

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Abstract:In recent years, many new districts in urban centres have been planned and constructed to reshape the structure and functions of specific areas. Urban regeneration strategies, planning and design principles have to take into account both socioeconomic perspectives and environmental sustainability. A district located in the historical city centre of Terni (Italy), Corso del Popolo, was analysed to assess the construction effects in terms of surface urban heat island (SUHI) mitigation. This district is an example of urban texture modification planned in the framework of the regeneration of the ancient part of the town. The changes were realised starting from 2006; the new area was completed on June 2014. The analysis was carried out by processing Landsat 7 ETM+ images before and after the interventions, retrieving land surface temperature (LST) and albedo maps. The map analysis proved the SUHI reduction of the new area after the interventions: as confirmed by the literature, such SUHI mitigation can be ascribed to the presence of green areas, the underground parking, the partial covering of the local roadway and the shadow effect of new multi-storey buildings. Moreover, an analysis of other parameters linked to the impervious surfaces (albedo, heat transfer and air circulation) driving LST variations is provided to better understand SUHI behaviour at the district level. The district regeneration shows that wisely planned and developed projects in the construction sector can improve urban areas not only economically and socially, but can also enhance the environmental impact.

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Section: Resultssupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

et al. 2017

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“…Therefore, it can potentially keep the SUHII stable when urban development is under certain conditions (e.g., optimizing urban internal landscapes). Many new studies have proven that both vegetation types and water have a negative correlation with LST [7,14,28]. Moreover, vegetation growth enhancement may be prevalent in an urban environment because urban vegetation is usually influenced by urban greening, well management, and urban heat island, etc.…”

Section: Various Urbanization Factors Among Countries At Different Dementioning

confidence: 99%

“…They also assessed the effect of urbanization on air temperature and regional differences appeared in their study [12]. In fact, more and more studies have shown that UHI have relationship with the urbanization factors, like population, economy, city size, geometric characteristics, and so on [12][13][14]. In recent years, some studies have focused on the impact of spatial landscape configuration on urban heat island intensity [6].…”

Section: Introductionmentioning

confidence: 99%

Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases

Cui

Dong

et al. 2016

Sustainability

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Urbanization is a global problem with demographic trends. The urban heat island plays a dominant role in local climate systems. Despite existing efforts to understand the impacts of multiple urbanization factors on the urban heat island globally, very little is known about the attribution of urban heat island magnitude to urbanization in different locations or developmental phases. In this study, based on global land surface temperature data, urban spatial domain data, gross domestic product (GDP), and population data, we analyzed the influence of multiple urbanization factors on global surface urban heat island intensity (SUHII). We also tentatively compared the abovementioned factors between different regions across the globe, especially between China and the USA, the largest countries that are experiencing or have experienced rapid urbanization in recent decades. The results showed that global SUHII had remarkable spatial heterogeneity due to the geographical and socioeconomic variation between cities. There was a significant correlation between SUHII and population as well as GDP in global cities. Moreover, this study suggested that the impacts of population on SUHII might be stronger in the early stages of urbanization, and the GDP factor would become a critical factor at a certain development level. The urban area also had non-ignorable impacts on SUHII, while the correlation between SUHII and urban shape was relatively weak. All these may imply that the best approach to slow down SUHII is to find other solutions, e.g., optimize the spatial configuration of urban internal landscapes, when the urbanization reaches a high level.

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“…The Landsat program has been considered as one of the most successful and important missions for Earth Observation in the last forty years [5]. Archived Landsat data are free of charge online [17] and have demonstrated great capabilities in resource investigation, LUCC, disaster monitoring, urban heat island and global change research [11][12][13][14][15][16][18][19][20]. In this study, multi-temporal Landsat imagery was utilized to monitor the cropland dynamics of the Yellow River Delta of China.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Cropland Dynamics of the Yellow River Delta based on Multi-Temporal Landsat Imagery over 1986 to 2015

et al. 2015

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Natural deltas can provide human beings with flat and fertile land to be cultivated. It is important to monitor cropland dynamics to provide policy-relevant information for regional sustainable development. This paper utilized Landsat imagery to study the cropland dynamics of the Yellow River Delta during the last three decades. Multi-temporal Landsat data were used to account for the phenological variations of different plants. Several spectral and textural features were adopted to increase the between-class separability. The robust random forest classifier was used to generate the land cover maps of the Yellow River Delta for 1986, 1995, 2005 and 2015. Experimental results indicated that the proposed methodology showed good performance with an average classification accuracy of 89.44%. The spatial-temporal analysis indicated that the cropland area increased from 467.6 km 2 in 1986 to 718.5 km 2 in 2015 with an average growth rate of 8.65 km 2 /year. The newly created croplands were mainly due to the reclamation of grassland and bare soil while the losses of croplands were due to abandoned cultivation and urban sprawl. The results demonstrate that a sustainable perspective should be adopted by the decision makers in order to simultaneously maintain food security, industrial development and ecosystem safety.

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Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management

Cited by 15 publications

References 44 publications

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases

Monitoring Cropland Dynamics of the Yellow River Delta based on Multi-Temporal Landsat Imagery over 1986 to 2015

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