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Measuring and Monitoring Urban Sprawl of Jaipur City using Remote Sensing and GIS

机译:使用遥感和GIS测量和监测斋浦尔市的城市扩张

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The -world's population increased drastically and forced people to migrate from rural area to major cities in search of basic amenities. The majority of the World's population are already living in the major cities and it is continuously increasing. The increase in population forced the major cities to expand Expansion of cities acclaimed more unplanned settlement that leads unplanned growth. This is a global phenomenon that has a direct impact on natural resources. It is the biggest challenge for urban planners to achieve sustainable development. Developing countries like India, where the population is increasing at an alarming pace, require more attention towards this problem. In this study, an attempt has been made to measure and monitor urban sprawl in Jaipur (Capital, State of Rajasthan, India). Built-up area with corresponding population has been analysed over a period of 41 years (1972-2013). Remotely sensed images of 1972-2013 (MSS, TM and ETM+) have been classified using Supervised Maximum Likelihood Classification (MLC) for digital image processing. Shannon's entropy has been used to quantify the degree of urban sprawl, and eight landscape metrics have also been used to quantify urban sprawl and its pattern.
机译:世界人口急剧增加,迫使人们从农村地区迁移到主要城市,以寻求基本便利。世界上大多数人口已经生活在主要城市,并且还在不断增加。人口的增长迫使主要城市扩大规模。城市扩张受到更多计划外定居点的影响,导致计划外增长。这是对自然资源有直接影响的全球现象。这是城市规划人员实现可持续发展的最大挑战。像印度这样的发展中国家,人口正在以惊人的速度增长,因此需要更多地关注这一问题。在这项研究中,已尝试测量和监视斋浦尔(印度拉贾斯坦邦首都)的城市蔓延。在41年的时间里(1972-2013),分析了具有相应人口的建筑面积。 1972-2013年的遥感图像(MSS,TM和ETM +)已使用监督最大似然分类(MLC)进行了数字图像处理。香农的熵已被用来量化城市扩张的程度,八种景观指标也已被用来量化城市扩张及其模式。

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