An effective Building Neighborhood Green Index model for measuring urban green space

Liu, Yuqin; Meng, Qingyan; Zhang, Jiahui; Zhang, Linlin; Jancsó, Tamás; Vatseva, Rumiana

doi:10.1080/17538947.2015.1037870

Cited by 45 publications

(16 citation statements)

References 35 publications

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“…16 t ha −1 ) is also comparable to Delhi urban forest biomass range 107-169 t ha −1 [66]. However, the Cstock of forest is on the higher side as compared to forest plantation in Italian cities (99 t ha −1 ) studied by [67] and Shenyang urban forests with 33 t ha −1 studied by Liu and authors [68]. Study by Nero et al on carbon sink potential of different UGS estimated that overall Kumasi has a 228-t ha −1 of carbon in different greens [3].…”

Section: Characteristics Of Dominant Speciessupporting

confidence: 56%

Vegetation Structure, Species Composition, and Carbon Sink Potential of Urban Green Spaces in Nagpur City, India

Lahoti

Lahoti²,

Joshi

et al. 2020

Land

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Nagpur is rapidly urbanizing, and in the process witnessing decline in its green status which is one of the identities of the city. The study aims to understand the current species diversity, composition and structure in different classes of greens prevalent in the city. As urban green spaces (UGS) are also reservoirs of carbon stock, the study estimates their biomass. Through rigorous field work, data were collected from 246 sample plots across various UGS classes as pre-stratification. Then the biomass was estimated using non-destructive method with species-specific equation. The diversity of tree species recorded in UGS varies, with high diversity recorded in avenue plantation and institutional compounds. The overall variation in species composition among UGS classes was 36.8%. While in managed greens the species composition was similar, in institutional greens and forest it was different. Particularly, in forest the evenness was high with low diversity and low species richness. The structural distribution indicate lack of old trees in the city, with high number of tree species between diameter classes of 10–40 cm. Biomass was recorded high in road-side plantations (335 t ha−1) and playgrounds (324 t ha−1), and trees with bigger girth size where the main contributors. The dominant species indicates that high growth rate, tolerance to drought and pollution are the key attributes considered for species selection by local authorities. Though the city holds green image, vegetation along the avenues and institutions are stressed, exposed, and threatened by felling activities for grey infrastructure expansions. In such scenario, protection and preservation of older trees is crucial to maintain the carbon stock of the city. In addition, local authorities need to focus on effective afforestation programs through public participation to achieve high survival rate and reduce the maintenance cost. For species selection in addition to phenology and growth rate, tree biomass and life span needs to be considered to significantly enhance the urban environment and increase the benefits derived from UGS.

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Section: Characteristics Of Dominant Speciessupporting

confidence: 56%

Vegetation Structure, Species Composition, and Carbon Sink Potential of Urban Green Spaces in Nagpur City, India

Lahoti

Lahoti²,

Joshi

et al. 2020

Land

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“…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%

“…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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“…"Green space" is the area in urban covered by mainly vegetation and is regarded as an important element in Urban Sustainable Development [1]. At the same time, Green Space is the signal to identify environment quality and residents' life quality [2,3]. Currently, there are two main methods to assess and quantify the urban green space.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, this method requires a large amount of time to conduct survey and the outcomes will be objective because the self-awareness towards green space is different among each person. The second method uses Earth observation system with satellites, which has become an indispensable tool for researching and managing land use status as well as the coverage of urban green space [3]. Recently, with the rapid development of remote sensing technology along with the improvement of satellites image processing, many cities in the world have applied the former to collect information about real coverage to determine urban green space and optimize the structure of city green space [4].…”

Section: Introductionmentioning

confidence: 99%

Optical Remote Sensing Method for Detecting Urban Green Space as Indicator Serving City Sustainable Development

Vân

Tran

Bao

et al. 2017

The 4th International Electronic Conference on Sensors and Applications

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Urban green space, discovered by optical remote sensors, is the area covered by terrestrial vegetation in urban areas, and is considered an important factor in urban sustainability. Two sensors ALOS/AVNIR-2 and Landsat/OLI&TIR were used in this study to determine green space by Maximum Likelihood Classification method. The investigated area was Nha Trang city, located in the central Vietnam. This was found that the impervious surfaces were rapidly increased leading to significantly reduce urban green space within 10 years from 2007-2017. In urban areas, the green index was very low compared to the TCXDVN 9257: 2012. Based on the Markov chain, it is projected that over the next 10 years, the total vegetation cover of the city will continue to decline compared to that of today. This is likely to lead to increase catastrophe and environmental risks, especially floods and erosion in the coastal city of Nha Trang. The process could be very useful in mapping urban green space as indicator serving city sustainable development.

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An effective Building Neighborhood Green Index model for measuring urban green space

Cited by 45 publications

References 35 publications

Vegetation Structure, Species Composition, and Carbon Sink Potential of Urban Green Spaces in Nagpur City, India

Vegetation Structure, Species Composition, and Carbon Sink Potential of Urban Green Spaces in Nagpur City, India

Remote Sensing in Environmental Justice Research—A Review

Optical Remote Sensing Method for Detecting Urban Green Space as Indicator Serving City Sustainable Development

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