Urban Green Space Analysis and Identification of its Potential Expansion Areas

M’Ikiugu, Martin Mwirigi; Kinoshita, Isami; Tashiro, Yoritaka

doi:10.1016/j.sbspro.2012.02.110

Cited by 38 publications

(18 citation statements)

References 8 publications

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“…Urban Green Spaces are essential constituents of the urban structure that enhance resident's quality of life and behaviour (M'Ikiugu et al, 2012). UGSs contribute to the sustainable development of urban ecosystems and provide a range of ecological and social benefits including; biodiversity and historic landscape feature conservation, regulate local microclimate, protection of air quality, noise absorption and water resources protection.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Assessment of Vegetation Indices and Land Cover for Erbil City and Its Surrounding Using Modis Imageries

Hussein

Kovács

Tobak

2017

Journal of Environmental Geography

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The rate of global urbanization is exponentially increasing and reducing areas of natural vegetation. Remote sensing can determine spatiotemporal changes in vegetation and urban land cover. The aim of this work is to assess spatiotemporal variations of two vegetation indices (VI), the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), in addition land cover in and around Erbil city area between the years 2000 and 2015. MODIS satellite imagery and GIS techniques were used to determine the impact of urbanization on the surrounding quasi-natural vegetation cover. Annual mean vegetation indices were used to determine the presence of a spatiotemporal trend, including a visual interpretation of time-series MODIS VI imagery. Dynamics of vegetation gain or loss were also evaluated through the study of land cover type changes, to determine the impact of increasing urbanization on the surrounding areas of the city. Monthly rainfall, humidity and temperature changes over the 15-year-period were also considered to enhance the understanding of vegetation change dynamics. There was no evidence of correlation between any climate variable compared to the vegetation indices. Based on NDVI and EVI MODIS imagery the spatial distribution of urban areas in Erbil and the bare around it has expanded. Consequently, the vegetation area has been cleared and replaced over the past 15 years by urban growth.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Assessment of Vegetation Indices and Land Cover for Erbil City and Its Surrounding Using Modis Imageries

Hussein

Kovács

Tobak

2017

Journal of Environmental Geography

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“…Until now, various studies in the past that attempted to measure accessibility to green spaces have overemphasized the distance between population centers and urban parks that exist in a polygon-shaped data format [10,11]. However, this study complements the conventional research approaches in two ways.…”

Section: Resultsmentioning

confidence: 99%

“…In response to the importance of green space in city landscapes, measuring the accessibility to urban green space has been a major issue for urban researchers [8,9]. For instance, the accessibility gap between different social groups in the UK [10] and an unbalanced distribution of urban green spaces within Africa [11] were identified in previous research. Walkability has also been a crucial concept in determining how pedestrian-friendly and accessible urban green space is, in relation to the improvement of public health and equality in park supply [12,13].…”

Section: Introductionmentioning

confidence: 99%

Urban Green Accessibility Index: A Measure of Pedestrian-Centered Accessibility to Every Green Point in an Urban Area

Jang

Kim

Lee

et al. 2020

IJGI

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Advancements in remote sensing techniques and urban data analysis tools have enabled the successful monitoring and detection of green spaces in a city. This study aims to develop an index called the urban green accessibility (UGA) index, which measures people’s accessibility to green space and represents the citywide or local characteristics of the distribution pattern of green space. The index is defined as the sum of pedestrians’ accessibility to all vegetation points, which consists of the normalized difference vegetation index (NDVI) with integration and choice values from angular segment analysis. In this study, the proposed index is tested with cases of New York, NY, and San Francisco, CA, in the US. The results reveal differences based on the significance of streets. When analysis ranges are on a neighborhood scale, a few hotspots appear in well-known green areas on commonly accessible streets and in local neighborhood parks on residential blocks. The appearance of high-accessibility points in low-NDVI areas implies the potential of the efficient and proper distribution of green spaces for pedestrians. The proposed measure is expected to help in planning and managing green areas in cities, taking people’s accessibility and spatial relationships into consideration.

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“…Change at various scales, and the implications for local-level processes, has attracted significant research interest in recent times [1,2]. Within urban settings, change has received a significant amount of attention over the past decade or so, with urban forests and green spaces the primary focus [3][4][5]. Our ability to keep track of change within urban settings has been enhanced by the rapid development of remote sensing technology and the associated high-resolution data they make available [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Assessing Riyadh’s Urban Change Utilizing High-Resolution Imagery

Alghamdi

Cummings

2019

Land

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The implications of change on local processes have attracted significant research interest in recent times. In urban settings, green spaces and forests have attracted much attention. Here, we present an assessment of change within the predominantly desert Middle Eastern city of Riyadh, an understudied setting. We utilized high-resolution SPOT 5 data and two classification techniques-maximum likelihood classification and object-oriented classification-to study the changes in Riyadh between 2004 and 2014. Imagery classification was completed with training data obtained from the SPOT 5 dataset, and an accuracy assessment was completed through a combination of field surveys and an application developed in ESRI Survey 123 tool. The Survey 123 tool allowed residents of Riyadh to present their views on land cover for the 2004 and 2014 imagery. Our analysis showed that soil or 'desert' areas were converted to roads and buildings to accommodate for Riyadh's rapidly growing population. The object-oriented classifier provided higher overall accuracy than the maximum likelihood classifier (74.71% and 73.79% vs. 92.36% and 90.77% for 2004 and 2014). Our work provides insights into the changes within a desert environment and establishes a foundation for understanding change in this understudied setting. landscape [24]. Due to the physical and morphological conditions, economic state, population growth, political situation, policies, and social behaviors that vary from one region to another, predicting patterns of urban growth is complicated [25]. Nevertheless, significant progress has been made in understanding urban processes, including the importance of performing spatiotemporal analyses of urban growth to understand the characteristics and consequences of growth and how this is manifested from one location to another [8,21,[25][26][27][28][29][30][31]. One of the critical factors that have emerged from recent studies in urban processes and change is that in trying to understanding future growth within urban centers, it is critical to first understand and document the physical conditions within a city. Despite the significant progress made in understanding urban growth, our knowledge of urban change has not been uniform across all settings, a fact especially manifested in the states of the Middle East and North Africa.The urban centers of the Middle East and North Africa are undergoing rapid transformation, including significant growth in the youth population, and an urbanization trend that will result in large numbers of people settling in major cities [30]. Still, the analysis of the changes occurring within Middle Eastern cities remains incomplete. This is particularly critical as the territory of the Middle East and North Africa is 11.2 million km 2 -larger than the United States (9.8 million km 2 ), China (9.5 million km 2 ), and the European Union (4.3 million km 2 ). To date, only a few studies have focused on urban processes and change within the Middle East. Among the studies completed in the region was the work of ...

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Urban Green Space Analysis and Identification of its Potential Expansion Areas

Cited by 38 publications

References 8 publications

Spatiotemporal Assessment of Vegetation Indices and Land Cover for Erbil City and Its Surrounding Using Modis Imageries

Spatiotemporal Assessment of Vegetation Indices and Land Cover for Erbil City and Its Surrounding Using Modis Imageries

Urban Green Accessibility Index: A Measure of Pedestrian-Centered Accessibility to Every Green Point in an Urban Area

Assessing Riyadh’s Urban Change Utilizing High-Resolution Imagery

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