...
首页> 外文期刊>Journal of housing and the built environment >The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data
【24h】

The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data

机译:贫民窟的真实面貌:基于遥感数据的印度孟买贫民窟的结构比较

获取原文
获取原文并翻译 | 示例
           

摘要

The term "slum" is difficult to define, but if we see one, we know it. Defi­nitions for slums are qualitative such as "areas of people lacking, for example, durable housing or easy access to safe water". This study aims at identifying characteristic physical features of the built environment that allows defining slum areas based on quantitative and measurable parameters. In general, spatial data on slums are generalized, outdated, or even nonexistent. The bird's eye view of remotely sensed data is capable to provide an inde­pendent, area-wide spatial overview, to capture the complex morphological pattern and at the same time capture the large-scale individual objects typical for slums. Using high-resolution optical satellite data, parameters such as building density, building heights, and sizes are used to differentiate between slums and formal settlements. From it, the physical features are used to analyze structural homogeneity and heterogeneities within and across slums and to suggest characteristic physical features for spatial slum delineation at three study sites in Mumbai, India.
机译:“贫民窟”一词很难定义,但是如果我们看到一个,我们就知道。贫民窟的定义是定性的,例如“缺乏耐用住房或难以获得安全水的人的地区”。这项研究旨在识别建筑环境的特征性物理特征,从而允许基于定量和可测量的参数定义贫民区。通常,关于贫民窟的空间数据是广义的,过时的,甚至不存在的。鸟瞰的遥感数据能够提供独立的,整个区域的空间概览,以捕获复杂的形态学模式,同时捕获典型的贫民窟的大型个体。使用高分辨率的光学卫星数据,可以使用诸如建筑物密度,建筑物高度和大小之类的参数来区分贫民窟和正式住区。通过它,这些物理特征被用来分析贫民窟内和贫民窟之间的结构同质性和异质性,并为印度孟买的三个研究地点的空间贫民窟划定提出特征性的物理特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号