In India, the urban population is likely to be 40% of its total population by the year 2030. In such a scenario, managing urban areas is a challenge for planners in terms of developing sustainable infrastructures and addressing environmental issues. The transitional areas in the surroundings of the peripheral region of large and growing cities are called Desakota. Monitoring of such areas is essential as these provide the foundation for future urban establishments. This study tried to identify and assess the peripheral growth of Patna city, a megacity of the state of Bihar in India together with new developing urban areas by applying well-established image classification techniques on the multi-temporal Landsat satellite images of the years 1995, 2005 and 2015. Analysis of the LULC revealed a significant built-up growth in an elongated shape preferably on the upland areas. We also observed an increase in vegetation class area which is in fact due to the increased practice of agricultural plantation in low-lying areas and along the river course. Moreover, the study identified the Desakota regions for different periods, mainly along the major roads in the periphery of the city. The results were validated in the field using GPS based field survey.

中文翻译：

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使用遥感数据和 GIS 识别印度巴特那市的 Desakota 地区和城市增长分析

在印度，到 2030 年，城市人口可能占其总人口的 40%。在这种情况下，管理城市地区是规划人员在开发可持续基础设施和解决环境问题方面面临的挑战。大城市和不断发展的城市外围地区周围的过渡区域称为 Desakota。对这些区域的监测至关重要，因为它们为未来的城市建设奠定了基础。本研究试图通过对 1995 年的多时相 Landsat 卫星图像应用成熟的图像分类技术，识别和评估巴特那市（印度比哈尔邦的一个特大城市）以及新发展的城市地区的外围增长， 2005 年和 2015 年。对 LULC 的分析显示，在细长形状中，优选在高地区域有显着的堆积生长。我们还观察到植被类别面积的增加，这实际上是由于低洼地区和河道沿线的农业种植实践增加。此外，该研究确定了不同时期的 Desakota 地区，主要沿着城市外围的主要道路。使用基于 GPS 的现场调查在现场验证了结果。