scholarly journals Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis

2019 ◽  
Author(s):  
Martí Bosch ◽  
Jérôme Chenal
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Landscape Metrics ◽  
Fractal Analysis ◽  
Spatiotemporal Patterns ◽  
Ecosystem Functions ◽  
Coalescence Model ◽  
Urban Agglomerations ◽  
Growth Modes ◽  
Urban Growth Modes

AbstractUrbanization is currently a global phenomenon that has become the most important form of landscape change and is increasingly affecting biodiversity and ecosystem functions. In order to evaluate the impacts of urbanization and inform urban planning, it is important to understand the spatiotemporal patterns of land use change associated to urbanization. This paper exploits three different frameworks, namely landscape metrics, urban growth modes and fractal analysis to characterize the spatiotemporal patterns of urbanization of the Swiss urban agglomerations of Zurich, Bern and Lausanne. The land use inventory provided by the Swiss Federal Statistical Office was used to assemble four temporal snapshots from 1980 to 2016 at the extent of the urban agglomerations. The time series of landscape metrics generally supports the diffusion and coalescence model of urban growth, with Zurich exhibiting most characteristics of coalescence while Bern and Lausanne seem to be at the transition between diffusion and coalescence. Nevertheless, the analysis of the urban growth modes suggest that leapfrog development occurs at all periods, which contributes to an increasing fragmentation of natural patches and maintains the fractal configuration of the landscape. The discussion reviews potential explanations for the observed landscape changes, and concludes with some planning implications.

Monitoring and Measuring the Urban Forms Using Spatial Metrics of Howrah City, India

2020 ◽  
Vol 4 (1-2) ◽  
pp. 19-39
Author(s):  
Somnath Mandal ◽  
Sanjit Kundu ◽  
Subrata Haldar ◽  
Subhasis Bhattacharya ◽  
Suman Paul
Keyword(s):  
Natural Resources ◽  
Urban Growth ◽  
Landscape Metrics ◽  
Remote Sensing Data ◽  
Spatiotemporal Patterns ◽  
Urban Landscapes ◽  
Buffer Zones ◽  
Spatial Metrics ◽  
Entire Study ◽  
Urban Rural

Monitoring and measurement of urban growth pattern with the help of urban-rural gradient and spatial metrics are gaining significant importance in recent times. Rapid and unplanned urban growth has a great impact on natural resources, local ecology, forestry and infrastructure. Temporal satellite data, gradient analysis and landscape metrics of urban landscapes will help to evolve appropriate strategies for integrated planning and sustainable management of natural resources. This communication focuses on spatiotemporal patterns of land use dynamics of Howrah Municipal Corporation (HMC), India and its surroundings with six buffer zones of 2kms. Analysis has been carried out on HMC using temporal remote sensing data. HMC has been used to identify the changes in the gradient of urban to peri-urban and rural regions. Further, the entire study area has been divided into eight zones radiated from city center based on directions. Different landscape metrics have been computed for each zone which helps to understand the spatiotemporal patterns and associated dynamics of the landscape at local levels.

scholarly journals Quantifying Spatiotemporal Patterns and Major Explanatory Factors of Urban Expansion in Miami Metropolitan Area During 1992–2016

2019 ◽  
Vol 11 (21) ◽  
pp. 2493 ◽  
Author(s):  
Shaikh Abdullah Al Rifat ◽  
Weibo Liu
Keyword(s):  
Remote Sensing ◽  
Urban Growth ◽  
Landscape Metrics ◽  
Urban Expansion ◽  
Growth Patterns ◽  
South Florida ◽  
Spatiotemporal Patterns ◽  
Metropolitan Statistical Area ◽  
Median Income ◽  
Explanatory Factors

Urban expansion is one of the most dramatic forms of land transformation in the world and it is one of the greatest challenges in achieving sustainable development in the 21st century. Previous studies analyzed urbanization patterns in areas with rapid urban expansion while urban areas with low to moderate expansion have been overlooked, especially in developed countries. In this study, we examined the spatiotemporal dynamics of urban expansion patterns in South Florida, United States (US) over the last 25 years (1992–2016) using Remote Sensing and GIS techniques. The main goal of this paper was to investigate the degree and spatiotemporal patterns of urban expansion at different administrative level in the study area and how spatiotemporal variance in different explanatory factors influence urban expansion in this region. More specifically, this research quantifies the rates, types, intensity, and landscape metrics of urban expansion in Miami-Fort Lauderdale-Palm Beach, Florida Metropolitan Statistical Area (Miami MSA) which is the 7th largest MSA and 4th largest urbanized area in the US using remote sensing (satellite imageries) data from National Land Cover Datasets (NLCD) and Coastal Change Analysis Program (C-CAP) at 30 m spatial resolution. We further investigated the urban growth patterns at the county and city areas that are located within this MSA to portray the local ‘picture’ of urban growth in this region. Urban expansion in this region can be divided into two time periods: pre-2001 and post-2001 where the former experienced rapid urban expansion and the later had comparatively slow urban expansion. Results suggest that infilling was the dominant type of urban expansion followed by edge-expansion and outlying. Results from landscape metrics represent that newly developed urban lands became more aggregated and simplified in form as the time progressed in the study region. Also, new urban lands were generated away from the east coast and historic cities which eventually created new urban cores. We also used correlation analysis and multiple linear stepwise regression to address major explanatory factors of spatiotemporal change in urban expansion during the study period. Although the influence of factors on urban expansion varied temporally, Population and Distance to Coast were the strongest variables followed by Distance to Roads and Median Income that influence overall urban expansion in the study area.

The Use of Remote Sensing and Landscape Metrics to Describe Structures and Changes in Urban Land Uses

10.1068/a3496 ◽  
2002 ◽  
Vol 34 (8) ◽  
pp. 1443-1458 ◽  
Author(s):  
Martin Herold ◽  
Joseph Scepan ◽  
Keith C Clarke
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Landscape Metrics ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Region ◽  
Santa Barbara

Remote sensing technology has great potential for acquisition of detailed and accurate land-use information for management and planning of urban regions. However, the determination of land-use data with high geometric and thematic accuracy is generally limited by the availability of adequate remote sensing data, in terms of spatial and temporal resolution, and digital image analysis techniques. This study introduces a methodology using information on image spatial form—landscape metrics—to describe urban land-use structures and land-cover changes that result from urban growth. The analysis is based on spatial analysis of land-cover structures mapped from digitally classified aerial photographs of the urban region Santa Barbara, CA. Landscape metrics were calculated for segmented areas of homogeneous urban land use to allow a further characterization of the land use of these areas. The results show a useful separation and characterization of three urban land-use types: commercial development, high-density residential, and low-density residential. Several important structural land-cover features were identified for this study. These were: the dominant general land cover (built up or vegetation), the housing density, the mean structure and plot size, and the spatial aggregation of built-up areas. For two test areas in the Santa Barbara region, changes (urban growth) in the urban spatial land-use structure can be described and quantified with landscape metrics. In order to discriminate more accurately between the three land-cover types of interest, the landscape metrics were further refined into what are termed ‘landscape metric signatures’ for the land-use categories. The analysis shows the importance of the spatial measurements as second-order image information that can contribute to more detailed mapping of urban areas and towards a more accurate characterization of spatial urban growth pattern.

SIGNIFICANCE OF ECOSYSTEM FUNCTIONS OF SPECIAL GREENING TERRITORIES

2020 ◽  
Author(s):  
N.N. Krupina ◽  
Keyword(s):  
Land Use ◽  
Environmental Protection ◽  
Ecosystem Approach ◽  
Ecosystem Functions ◽  
Situational Analysis ◽  
Ecological Situation ◽  
Barrier Potential ◽  
Industrial Cities ◽  
The Matrix ◽  
Industrial Zones

Based on the analysis of the tense ecological situation in the industrial zones of industrial cities, the role and place of special landscaping areas in the implementation of national projects is substantiated. From the perspective of the ecosystem approach, a set of requirements and a list of priority optimization decisions regarding the planning organization of environmental protection landscaping are proposed. The matrix of situational analysis of the state and the composition of indicators for assessing the barrier potential of a territory with a special land use regime are presented.

Sign in / Sign up

Export Citation Format

Share Document