Physical characterisation of deprivation in cities: How can remote sensing help to profile poverty (slum dwellers) in the megacity of Delhi/India?)

M. Netzband, Atiqur Rahman
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引用次数: 17

Abstract

Addressing the question ‘Is the world urbanizing in a context of poverty?’ has been so far based on limited information. There is only poor scientific and operational knowledge of this process. Urban growth & land consumption patterns are poorly understood (i.e. coastal cities are growing faster; they are disproportionately urban and with higher densities). Thus, the available information is inadequate for policy & planning. Due to their microstructure, irregularity and direct adaptation to local conditions and the terrain, a generically applicable mapping of these settlements is difficult. The focus of the proposed paper will be laid on experiences in identifying slums and informal settlements in the Megacity of Delhi/India by means of high resolution remote sensing in order to help spatially profile poverty in very complex (cluttered) and partly hard to control giant and fast growing urbanized regions. An integrated approach using ASTER satellite data and GIS is applied in conjunction with socio-economic data collected from different government offices for assessing such urban issues.
城市贫困的物理特征:遥感如何帮助描绘德里/印度大城市的贫困(贫民窟居民)?
“世界城市化是在贫困的背景下进行的吗?”到目前为止,这是基于有限的信息。关于这一过程的科学知识和操作知识都很贫乏。人们对城市增长和土地消费模式了解甚少(即沿海城市增长更快;它们不成比例地分布在城市,而且密度更高)。因此,现有的信息对于政策和规划是不够的。由于它们的微观结构、不规则性和直接适应当地条件和地形,对这些聚落进行普遍适用的测绘是困难的。拟议文件的重点将放在通过高分辨率遥感识别印度德里特大城市贫民窟和非正式住区的经验上,以帮助在非常复杂(杂乱)和部分难以控制的巨大和快速增长的城市化地区对贫困进行空间描绘。利用ASTER卫星数据和地理信息系统的综合办法,结合从不同政府办公室收集的社会经济数据,用于评估这种城市问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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