Spatial Metrics based Landscape Structure and Dynamics Assessment for an emerging Indian Megalopolis

Abstract

Human-induced land use changes are considered the prime agents of the global environmental changes. Urbanisation and associated growth patterns (urban sprawl) are characteristic of spatial temporal changes that take place at regional levels. Unplanned urbanization and consequent impacts on natural resources including basic amenities has necessitated the investigations of spatial patterns of urbanization. A comprehensive assessment using quantitative methods and methodological understanding using rigorous methods is required to understand the patterns of change that occur as human processes transform the landscapes to help regional land use planners to easily identify, understand the necessary requirement. Tier II cities in India are undergoing rapid changes in recent times and need to be planned to minimize the impacts of unplanned urbanisation. Mysore is one of the rapidly urbanizing traditional regions of Karnataka, India. In this study, an integrated approach of remote sensing and spatial metrics with gradient analysis was used to identify the trends of urban land changes. The spatial and temporal dynamic pattern of the urbanization process of the megalopolis region considering the spatial data for the ?ve decades with 3 km buffer from the city boundary has been studied, which help in the implementation of location specific mitigation measures. The time series of gradient analysis through landscape metrics helped in describing, quantifying and monitoring the spatial configuration of urbanization at landscape levels. Results indicated a signi?cant increase of urban built-up area during the last four decades. Landscape metrics indicates the coalescence of urban areas occurred during the rapid urban growth from 2000 to 2009 indicating the clumped growth at the center with simple shapes and dispersed growth in the boundary region with convoluted shapes.

Authors and Affiliations

Ramachandra T. V , Bharath H. Aithal , Sreekantha S.

Keywords

Related Articles

 Realising Dynamism in MediaSense Publish/Subscribe Model for Logical-Clustering in Crowdsourcing

 The upsurge of social networks, mobile devices, Internet or Web-enabled services have enabled unprecedented level of human participation in pervasive computing which is coined as crowdsourcing. The pervasiveness of...

 Outlier-Tolerance RML Identification of Parameters in CAR Model

 The measured data inevitably contain abnormal data under the normal operating conditions. Most of the existing algorithms, such as least squares identification and maximum likelihood estimation, are easily affected...

A Mechanism of Generating Joint Plans for Self-interested Agents, and by the Agents

Generating joint plans for multiple self-interested agents is one of the most challenging problems in AI, since complications arise when each agent brings into a multi-agent system its personal abilities and utilities. S...

 Method for Aureole Estimation Refinement Through Comparisons Between Observed Aureole and Estimated Aureole Based on Monte Carlo Ray Tracing

 Method for aureole estimation refinement through comparisons between observed aureole and estimated aureole based on Monte Carlo Ray Tracing: MCRT is proposed. Through some experiments, it is found that the propose...

 Applying Swarm Optimization Techniques to Calculate Execution Time for Software Modules

 This research aims to calculate the execution time for software modules, using Particle Swarm Optimization (PSO) and Parallel Particle Swarm Optimization (PPSO), in order to calculate the proper time. A comparison...

Download PDF file
  • EP ID EP150782
  • DOI -
  • Views 99
  • Downloads 0

How To Cite

Ramachandra T. V, Bharath H. Aithal, Sreekantha S. (2012). Spatial Metrics based Landscape Structure and Dynamics Assessment for an emerging Indian Megalopolis. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(1), 48-57. https://europub.co.uk/articles/-A-150782