The Effects of Urban Spatial Development on Coastal Ecosystems: The Case of Mersin, Turkey

Yılmaz, Merve; Terzi, Fatih

doi:10.1088/1757-899x/471/10/102026

Cited by 4 publications

(4 citation statements)

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“…The images were processed using NNBAI (New Normalized Built-up Area Indices) and MNDWI (Modified Normalized Difference Water Index) to identify built-up areas and water surfaces using ERDAS IMAGINE software. The use of these indices has been recognised as contributing to the production of an increased accuracy ratio (Yılmaz & Terzi, 2019;Bhatti & Tripathi, 2014;Xu, 2008;Zha, Gao, & Ni, 2003) and they became a determinative factor for the classification of the images. The index equations and bands of the satellite images used for the image classification are as follows (Yılmaz & Terzi, 2019).…”

Section: 1mentioning

confidence: 99%

“…The use of these indices has been recognised as contributing to the production of an increased accuracy ratio (Yılmaz & Terzi, 2019;Bhatti & Tripathi, 2014;Xu, 2008;Zha, Gao, & Ni, 2003) and they became a determinative factor for the classification of the images. The index equations and bands of the satellite images used for the image classification are as follows (Yılmaz & Terzi, 2019).…”

Section: 1mentioning

confidence: 99%

“…The threshold values obtained from undeveloped land, built-up areas, and water surfaces were converted to values of '0' (undeveloped land), and '1' (built-up area) to create binary maps through the 'Built-up Area Indices' produced during this study. The indices are expressed as follows (1) (Yılmaz & Terzi, 2019):…”

Section: 1mentioning

confidence: 99%

“…The types of spatial growth that occur within built-up areas can be characterized by their geographical features and natural thresholds in addition to their pattern of spatio-temporal change (Abrantes et al, 2017;Herold, Scepan, & Clarke, 2002). Naturally, these geographical features and thresholds have a considerable effect on a city's spatial growth (Yılmaz & Terzi, 2019) and there may be differences of form that arise from social and economic factors as well as from planning policies (Wilson et al, 2003;Wu, K.-y. & Zhang, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Characteristics of spatio-temporal urban growth patterns due to the driving forces of urbanization:

Yılmaz

Terzi

2020

IRSPSD International

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Urban growth patterns are a reflection of how urbanization is affected by physical geography as well as by the economic, social, and natural factors of individual cities. Therefore, an analysis of any urban growth pattern triggered by these factors by using measurable variables can make a significant contribution towards the determination of future spatial growth strategies. This paper aims to characterise and evaluate the urban growth pattern of Antalya, a coastal city in Turkey, that occurred between 1987 and 2016. To achieve this, a multi-temporal analysis of satellite images was carried out to determine the city's urban growth patterns in 1987, 2000, and 2016, and spatial growth indices were then used to identify three urban growth types -sprawl, infill, and leapfrog. The results clearly show that the amount of built-up area in Antalya increased considerably after 2000, and is estimated to have grown by a factor of eight over the period covered by this study, predominantly through the processes of sprawl and leapfrog development.

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