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192.168.6.56/handle/123456789/51165Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Basudeb Bhatta | - |
| dc.date.accessioned | 2019-03-06T07:58:51Z | - |
| dc.date.available | 2019-03-06T07:58:51Z | - |
| dc.date.issued | 2012 | - |
| dc.identifier.isbn | 978-94-007-4698-5 | - |
| dc.identifier.uri | http://10.6.20.12:80/handle/123456789/51165 | - |
| dc.description | Study of urban growth is a branch of urban geography that concentrates on cities and towns in terms of their physical and demographic expansion. Understanding the urban patterns, dynamic processes, and their relationships is a primary objective in the urban research agenda with a wide consensus among scientists, resource managers, and planners; because future development and management of urban areas requires detailed information about ongoing processes and patterns. Analysis of urban patterns and processes, from remote sensing data, is a pertinent topic in the current urban research agenda. Detailed spatial and temporal information of urban morphology, infrastructure, population distributions, land-use/ land-cover patterns and transitions among different land-uses/land covers are essential to be observed and understood. Urban remote sensing has attempted to provide such information. Determining the rate and the spatial configuration of urban growth from remote sensing data is not only a prevalent approach, rather it has a long history. However, the models and methods applied on remote sensing data, in terms of urban growth analysis, differ widely. Scientists and researchers hold different opinions. Many of them are still working to develop new methods and robust tools. This book is to document one such research. This book aims to demonstrate some of the existing methods/models to test their fitness for the analysis of urban growth in the city of Kolkata, an important urban area from a developing country. In this study, four temporal satellite images of 10-yearly intervals (1980, 1990, 2000, and 2010) have been classified to determine the urban extent and built-up growth of Kolkata. These digitally classified imageries then have been used for the analysis. The analysis has been performed in consideration of jurisdictional boundary of Kolkata Municipal Corporation as well as the natural boundaries of the city. The main problem faced in this analysis was lack of temporal ancillary datasets that were essential for many of the widely practiced metrics. Therefore, the intention was to use some metrics that are less demanding in terms of data and computation. However, it has been found that most of these metrics are inferior in capturing insights into urban growth and sprawl. In this study, therefore, most of these metrics have been modified, either to overcome their limitations or to fit the study area. | - |
| dc.language | en | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Remote Sensing | en_US |
| dc.title | Urban Growth Analysis and Remote Sensing | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | Population Studies | |
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