Characterizing The Evolution Of Indian Cities Using Satellite Imagery And Open Street Maps

Chahat Bansal, Aditi Singla, A. Singh, Hari Om Ahlawat, M. Jain, Prachi Singh, Prashant Kumar, Ritesh Saha, S. Taparia, S. Yadav, Aaditeshwar Seth
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引用次数: 5

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.
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利用卫星图像和开放街道地图描绘印度城市的演变特征
随着城市化的发展,能够跟踪城市变化对于更好地规划城市非常重要。为此目的已积极使用卫星数据的土地使用分类。我们通过使用通过开放街道地图平台获得的关于城市道路网络的众包数据来增强这一分析。我们制定了几个指标来量化城市的空间布局以及不同地区如何随时间变化。我们应用我们的方法研究了七个印度城市(班加罗尔、金奈、德里、古尔冈、海德拉巴、加尔各答和孟买),并将我们的发现与其他研究联系起来。我们的贡献在于综合了两个免费的卫星图像和道路信息数据集,为城市化的不同方面制定了一系列标准化指标,这些指标可以用于比较不同城市之间的差异,并跟踪城市随时间的变化。
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