Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data

Santos, Teresa; Tenedório, José António; Gonçalves, J.

doi:10.3390/su8121247

Cited by 58 publications

(42 citation statements)

References 37 publications

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“…Methods for mapping green space were also used in environmental justice or urban ecosystem analyses. In this context, remote sensing has been used to derive the spatial distribution, extent and quality of urban green spaces (e.g., [31,37,38,66,[76][77][78][79]). Based on such data, green space provision is often described as a function of euclidean distance to the closest patch of green or share of green space in the neighborhood [80].…”

Section: Derivationmentioning

confidence: 99%

Remote Sensing in Environmental Justice Research—A Review

Weigand

Wurm

Dech

et al. 2019

IJGI

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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.

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Section: Derivationmentioning

confidence: 99%

Remote Sensing in Environmental Justice Research—A Review

Weigand

Wurm

Dech

et al. 2019

IJGI

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“…More specifically, types of measures such as green roofs or green walls were excluded, thus contributing to an underestimation. Indeed, improved and more comprehensive results could have been attained with available spatial information of higher quality and detail (encompassing, for instance, the following research: [44]). …”

Section: Discussionmentioning

confidence: 99%

Urban Flood Adaptation through Public Space Retrofits: The Case of Lisbon (Portugal)

Silva

Costa

2017

Sustainability

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Abstract:A "Conceptual Framework of flood adaptation measures applicable in the design of public spaces" was previously created with the objective of increasing the rate of successful flood adaptation endeavors, fulfill municipal goals for more adaptive cities and facilitate the initial brainstorming phases of a public space design process. This research aims to assess the relevance and applicability of this Conceptual Framework on the particular municipal context of Lisbon. The paper starts by demonstrating the city's existing vulnerabilities and projected climate change scenarios, where it is possible to confirm that floods are indeed a recurrent phenomenon that will aggravate in the near and distant future. Subsequently, municipal endeavors up to the present time are analyzed with the purpose of assessing if the Conceptual Framework provides additional types of flood adaptation measures that may be considered. In a final stage, additional types of adaptation measures highlighted by the Conceptual Framework are assessed with regard to their application and infrastructural relevance. In light of the presented results, which confirm the infrastructural benefits of the additional measures proposed, new discussions emerge specifically regarding Lisbon's municipal flood adaptation management and its relation with public space design.

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“…Green roofs could represent a solution for the development of resilient urban cities as they promote the mitigation of the microclimate, energy savings, reductions in atmospheric and sound pollution, reductions in the water runoff speed, the growth of biodiversity, better performances of photovoltaic coverage panels and social and economic benefits [5]. Covering roofs with vegetation helps to mitigate the UHI effect by modifying microclimate and local climate [6]. A map can be created, through an analysis of the land cover, to identify green urban spaces, such as parks, playgrounds and residential green areas [7].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Green Roofs on Outdoor Thermal Comfort, Urban Heat Island Mitigation and Energy Savings

Mutani

Todeschi

2020

Atmosphere

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There is growing attention to the use of greenery in urban areas, in various forms and functions, as an instrument to reduce the impact of human activities on the urban environment. The aim of this study has been to investigate the use of green roofs as a strategy to reduce the urban heat island effect and to improve the thermal comfort of indoor and outdoor environments. The effects of the built-up environment, the presence of vegetation and green roofs, and the urban morphology of the city of Turin (Italy) have been assessed considering the land surface temperature distribution. This analysis has considered all the information recorded by the local weather stations and satellite images, and compares it with the geometrical and typological characteristics of the city in order to find correlations that confirm that greenery and vegetation improve the livability of an urban context. The results demonstrate that the land-surface temperature, and therefore the air temperature, tend to decrease as the green areas increase. This trend depends on the type of urban context. Based on the results of a green-roofs investigation of Turin, the existing and potential green roofs are respectively almost 300 (257,380 m2) and 15,450 (6,787,929 m2). Based on potential assessment, a strategy of priority was established according to the characteristics of building, to the presence of empty spaces, and to the identification of critical areas, in which the thermal comfort conditions are poor with low vegetation. This approach can be useful to help stakeholders, urban planners, and policy makers to effectively mitigate the urban heat island (UHI), improve the livability of the city, reduce greenhouse gas (GHG) emissions and gain thermal comfort conditions, and to identify policies and incentives to promote green roofs.

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Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data

Cited by 58 publications

References 37 publications

Remote Sensing in Environmental Justice Research—A Review

Remote Sensing in Environmental Justice Research—A Review

Urban Flood Adaptation through Public Space Retrofits: The Case of Lisbon (Portugal)

The Effects of Green Roofs on Outdoor Thermal Comfort, Urban Heat Island Mitigation and Energy Savings

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