Chahat Bansal, Aditi Singla, A. Singh, Hari Om Ahlawat, M. Jain, Prachi Singh, Prashant Kumar, Ritesh Saha, S. Taparia, S. Yadav, Aaditeshwar Seth
{"title":"Characterizing The Evolution Of Indian Cities Using Satellite Imagery And Open Street Maps","authors":"Chahat Bansal, Aditi Singla, A. Singh, Hari Om Ahlawat, M. Jain, Prachi Singh, Prashant Kumar, Ritesh Saha, S. Taparia, S. Yadav, Aaditeshwar Seth","doi":"10.1145/3378393.3402258","DOIUrl":null,"url":null,"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.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3378393.3402258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.