scholarly journals Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012

Land ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 16 ◽  
Author(s):  
Achim Ahrens ◽  
Seán Lyons
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Sprawl ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Unconditional Convergence ◽  
Corine Land Cover ◽  
Remote Areas ◽  
Using Data

In this article, we first summarise trends of land use changes and urbanisation in Ireland since 1990 using data from the Corine Land Cover program. In doing so, we compare the developments in Ireland with other European countries. Second, we propose a statistical test for the presence of sprawl using conditional and unconditional convergence tests. The two-part empirical analysis allows us to establish that Ireland has experienced a substantial loss of non-urban land in recent decades. Furthermore, a significant share of urban land use has been extended to remote areas, thereby exacerbating sprawl.

Reviewing the Pertinence of Sentinel-1 SAR for Urban Land Use Land Cover Classification

2020 ◽  
Vol 11 (5) ◽  
pp. 529-535
Author(s):  
Dan Abudu ◽  
Nigar Sultana Parvin ◽  
Geoffrey Andogah
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Areas ◽  
Land Use Changes ◽  
Land Cover Classification ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Land Cover ◽  
Sensing Technology

Conventional approaches for urban land use land cover classification and quantification of land use changes have often relied on the ground surveys and urban censuses of urban surface properties. Advent of Remote Sensing technology supporting metric to centimetric spatial resolutions with simultaneous wide coverage, significantly reduced huge operational costs previously encountered using ground surveys. Weather, sensor’s spatial resolution and the complex compositions of urban areas comprising concrete, metallic, water, bare- and vegetation-covers, limits Remote Sensing ability to accurately discriminate urban features. The launch of Sentinel-1 Synthetic Aperture Radar, which operates at metric resolution and microwave frequencies evades the weather limitations and has been reported to accurately quantify urban compositions. This paper assessed the feasibility of Sentinel-1 SAR data for urban land use land cover classification by reviewing research papers that utilised these data. The review found that since 2014, 11 studies have specifically utilised the datasets.

scholarly journals Quantization Studies on Sustainable Development in Chinese Urban Sprawl

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Xiaoxiao Wang ◽  
Ying Zhou
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Data Analysis ◽  
Urban Sprawl ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Regional Level ◽  
Urban Pattern ◽  
Adequate Data

This research explores “urban sprawl” to discover the reasons behind urban land-use changes and urban pattern transformations on a regional level. It begins with definitions of sprawl in Western and Eastern countries, then provides an adequate data analysis: collects related Index for urban sprawl and sustainable development for 15 top urban regions over 10 years (1999, 2004, and 2009), indicates which parameters can be considered as indicators for sustainable development in urban sprawl in China, and points out how these parameters affect the process of urban sprawl in the major cities in China.

scholarly journals Correction to: The impacts of agricultural and urban land-use changes on plant and bird biodiversity in Costa Rica (1986–2014)

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Andrea Montero ◽  
Joan Marull ◽  
Enric Tello ◽  
Claudio Cattaneo ◽  
Francesc Coll ◽  
...  
Keyword(s):  
Land Use ◽  
Costa Rica ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use
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