Abstract

With growing urbanization, being able to track urban change is important to plan cities better. Land-use classification of satellite data has been actively used for this purpose. We augment this analysis through the use of crowd-sourced data about the road network in cities, obtained through the Open Street Maps platform. We develop several indicators to quantify the spatial layout of cities and how different localities have changed over time. We apply our methods to study seven Indian cities (Bangalore, Chennai, Delhi, Gurgaon, Hyderabad, Kolkata, and Mumbai) and relate our findings with that of other studies. Our contribution lies in synthesizing two freely available datasets of satellite imagery and road information to develop a series of standardized indicators for different aspects of urbanization, which can serve to compare various cities with one another and to track change happening in the cities over time.

Keywords:
Urbanization Satellite imagery Track (disk drive) Geography Plan (archaeology) Satellite Computer science Remote sensing Transport engineering Cartography Engineering

Metrics

7
Cited By
0.40
FWCI (Field Weighted Citation Impact)
48
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Impact of Light on Environment and Health
Physical Sciences →  Environmental Science →  Global and Planetary Change
Land Use and Ecosystem Services
Physical Sciences →  Environmental Science →  Global and Planetary Change
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology

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