Modelling the Relationship between Urban Growth Modes and the Thermal Environment - A Case Study of the Barasat Municipality, West Bengal

2018 ◽  
Vol 17 (2) ◽  
pp. 1-19
Author(s):  
Kasturi Mukherjee ◽  
Pannalal Das
Keyword(s):  
Urban Growth ◽  
West Bengal ◽  
Thermal Environment ◽  
Growth Modes ◽  
Urban Growth Modes ◽  
The Relationship

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.

scholarly journals Analysis for Mapping of Built-Up Area Using Remotely Sensed Indices – A Case Study of Rajarhat Block in Barasat Sadar Sub-Division in West Bengal (India)

2018 ◽  
Vol 11 (2) ◽  
pp. 67-76 ◽  
Author(s):  
Debashish Kumar Ghosh ◽  
Anukul Ch Mandal ◽  
Raja Majumder ◽  
Poly Patra ◽  
Gouri Sankar Bhunia
Keyword(s):  
Land Cover ◽  
Urban Growth ◽  
Satellite Data ◽  
Growth Pattern ◽  
West Bengal ◽  
Remotely Sensed ◽  
Decision Makers ◽  
Urban Planner ◽  
Land Cover Dynamics

Abstract Present study investigated mapping and monitoring urban land areas from Landsat8 satellite data using remotely sensed indices. The normalized difference built-up index (NDBI), Enhanced Built-Up and Bareness Index (EBBI), Index-based built-up index (IBI), urban index (UI), normalized difference bareness index (NDBaI) were used to extract the built-up area. The NDBI was more effective at discriminating built-up areas and at increasing accuracy (overall accuracy of 76.45 % and kappa accuracy of 57 %) of the built-up density percentage than other remotely sensed indices. Evidence on built-up area change geographically would permit urban planner and decision makers to comprehend and appraise urban growth pattern in regards to land cover dynamics.

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