Investigating urban sprawl metrics and dynamics using RS and GIS case study: Gilan province, IRAN

Nejadi, Athareh; Salehi, Esmail; Jafari, Meisam

doi:10.1109/jurse.2011.5764814

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…In Guilan Province, urban sprawl is considered as one of the main factors transforming land use [29]. In this province, the urban population increased from 1956 to 1986 and had a falling trend from 1986 to 1996.…”

Section: Dpsir Concept As a Basis To Understand Impacts And Needed Responses To Support Natural Recourse Managementmentioning

confidence: 99%

Evidence-Based Management of the Anzali Wetland System (Northern Iran) Based on Innovative Monitoring and Modeling Methods

Pasvisheh

Forio

et al. 2021

Sustainability

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As an “international aquatic ecosystem” in Northern Iran, the Anzali wetland is a nursery for fish and a breeding and wintering area for a wide variety of waterfowl. The wetland is threatened by human activities (deforestation, hunting, tourism, and urbanization), leading to habitat destruction, eutrophication, and sediment accumulation. To stop the degradation and to set up effective protection and restoration in line with the Sustainable Development Goals, scientific insights must be integrated into a practical framework for evidence-based support for policymakers and managers of the Anzali wetland. In this study, the Drivers–Pressure–State–Impact–Response (DPSIR) framework is used as a suitable tool to link human pressures and state changes to derive an overview of the potential impacts. Population growth, intensive agriculture, increased urbanization, and industrialization are the major driving forces that have led to a complex cascade of state changes. For instance, during recent years, water quality deterioration, habitat degradation, and the overgrowth of invasive species in the Anzali wetland watershed have caused negative socio-economic and human health impacts. Integrated and innovative monitoring programs combined with socio-environmental modeling techniques are needed for a more evidence-based management approach as part of a multiresponse strategy for the sustainable development of the wetland system. In this respect, there is a critical gap in useful information concerning biological composition and innovative monitoring methods. Moreover, the relation of biota with human activity and environmental conditions needs to be better quantified. Therefore, ecological modeling techniques based on machine learning and statistics were reviewed for their advantages and disadvantages. The overview of approaches presented here can serve as the basis for scientists, practitioners, and decision-makers to develop and implement evidence-based management programs for the Anzali wetland.

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Section: Dpsir Concept As a Basis To Understand Impacts And Needed Responses To Support Natural Recourse Managementmentioning

confidence: 99%

Evidence-Based Management of the Anzali Wetland System (Northern Iran) Based on Innovative Monitoring and Modeling Methods

Pasvisheh

Forio

et al. 2021

Sustainability

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“…"Urban sprawl is a form of spatial development, characterized by low densities, scattered and discontinuous leapfrog expansion, and segregation of land uses" (Frenkel & Ashkenazi, 2008). The urban sprawl is mostly influenced to change in land use patterns reducing rural areas into urban areas (Nejadi, et al, 2011). Dilorenzo, (2000 recognized it as a "cancerous growth or a virus".…”

Section: Introductionmentioning

confidence: 99%

Analysis of Relationship Between Urban Sprawl and its Driving Factors: A Case of Small and Medium Town in Sri Lanka

Manesha

Jayasinghe

2021

FARU J.

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Measuring the level of urban sprawl is a challenging task that lacks a clear universal method. Therefore, it is worthwhile to investigate whether results differ with the methods utilized, to compute the level of urban sprawl. Consequently, this paper will also contribute to overcome the two limitations of emerging researches. Frist, Recent studies have utilized various methods to measure urban sprawl. However, the results of these studies were not compared and contrasted. Second, empirical studies have given less attention to identify the relationship between the level of urban sprawl and its driving factors such as urban form, urban landscape, population density, built-up density, accessibility, etc. Hence, this study supposes to quantify urban sprawl and identify the key factors influence on the level of urban sprawl. The study was conducted using the Expansion Intensity Index, Shannon’s Entropy value and Landscape Metrics. Ten small and medium towns were selected in the Sri Lankan context. The study able to demonstrate the influence of type of urban form, type of street pattern and changes in the accessibility of center compare to periphery area on the level of urban sprawl.

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Measuring urban sprawl of small and medium towns using GIS and remote sensing techniques: A case study of Sri Lanka

Manesha

Jayasinghe

Kalpana

2021

The Egyptian Journal of Remote Sensing and Space Science

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Investigating urban sprawl metrics and dynamics using RS and GIS case study: Gilan province, IRAN

Cited by 4 publications

References 3 publications

Evidence-Based Management of the Anzali Wetland System (Northern Iran) Based on Innovative Monitoring and Modeling Methods

Evidence-Based Management of the Anzali Wetland System (Northern Iran) Based on Innovative Monitoring and Modeling Methods

Analysis of Relationship Between Urban Sprawl and its Driving Factors: A Case of Small and Medium Town in Sri Lanka

Measuring urban sprawl of small and medium towns using GIS and remote sensing techniques: A case study of Sri Lanka

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