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Perspective on Resilient Cities: Introduction and Overview Read chapter Read first chapter

2019 | OriginalPaper | Chapter

15. A Study of Urban-Landscape Characteristics of Bhopal City (India) in a Geo-Spatial Environment

Authors : Anuj Tiwari, Prabuddh Kumar Mishra

Published in: Making Cities Resilient

Publisher: Springer International Publishing

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Abstract

Bhopal was shortlisted as an aspirant in the smart-cities challenge by the Ministry of Urban Development, Government of India. The Indian government’s Smart Cities model is an innovative sustainable urban-development solution that uses information and communication technologies and other means to improve quality of life, efficiency of urban operation and services, and competitiveness while ensuring that it meets the needs of present and future generations with respect to economic, social, and environmental aspects. To provide a set of strategic and operational research methodologies and systems solutions that cater to the needs of the Bhopal developing sectors, current trends of urbanization with their impact on the health of the city must be studied. This chapter aims to quantify the spatio-temporal patterns of urban expansion and their relationships with land-surface temperature (LST) as a prime indicator of city health in Bhopal. The process was studied using LST and the urban land–cover pattern derived from Landsat TM/ETM satellite data for two decades (1995–2015). In this study, the four major land-cover classes mapped include (i) built-up areas, (ii) water, (iii) vegetation, and (iv) others. Three spectral indices were used to characterize three foremost urban land-use classes: (1) a normalized difference built-up index (NDBI) to characterize built-up areas; (2) a modified normalized difference water index (MNDWI) to signify open water; and (3) a soil-adjusted vegetation index (SAVI) to symbolize green vegetation. Land-use and land-cover (LULC) maps prepared using the NDBI, MNDWI, and SAVI had, respectively, an overall accuracy of 90, 88, and 86% and kappa coefficient of 0.8726, 0.8455, and 0.8212 for 1989, 2006, and 2010. These changes, when attributed in increasing surface temperature in the study region, show a positive correlation between LST and NDBI, a negative correlation between LST and SAVI, and a perfectly negative correlation between NDBI and MNDWI.

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Metadata
Title
A Study of Urban-Landscape Characteristics of Bhopal City (India) in a Geo-Spatial Environment
Authors
Anuj Tiwari
Prabuddh Kumar Mishra
Copyright Year
2019
Book
Making Cities Resilient

Print ISBN: 978-3-319-94931-4

Electronic ISBN: 978-3-319-94932-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-94932-1_15