• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>SPIE Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology >Derivation of population distribution for vulnerability assessment inflood-prone German cities using multisensoral remote sensing data
【24h】

Derivation of population distribution for vulnerability assessment inflood-prone German cities using multisensoral remote sensing data

机译：使用多用户遥感数据的漏洞评估的人口分布推导出普遍的德国城市

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Against the background of massive urban development, area-wide and up-to-date spatial information is in demand.However, for many reasons this detailed information on the entire urban area is often not available or just not validanymore. In the event of a natural hazard - e.g. a river flood - it is a crucial piece of information for relief units to haveknowledge about the quantity and the distribution of the affected population. In this paper we demonstrate the abilities ofremotely sensed data towards vulnerability assessment or disaster management in case of such an event. By means ofvery high resolution optical satellite imagery and surface information derived by airborne laser scanning, we generate aprecise, three-dimensional representation of the landcover and the urban morphology. An automatic, object-orientedapproach detects single buildings and derives morphological information - e.g. building size, height and shape - for afurther classification of each building into various building types. Subsequently, a top-down approach is applied todistribute the total population of the city or the district on each individual building. In combination with information ofpotentially affected areas, the methodology is applied on two German cities to estimate potentially affected populationwith a high level of accuracy.
机译：在大规模城市发展的背景下，区域范围内和最新的空间信息是需求的。然而，由于许多原因，整个城市地区的详细信息通常无法使用或者只是没有validAnymore。在自然危险的情况下 - 例如河洪水 - 这是救济单位的关键信息，以掌握受影响人口的数量和分布。在本文中，我们展示了在此类事件的情况下展示了对漏洞评估或灾害管理的能力。通过veryy高分辨率光学卫星图像和由空气激光扫描来源的表面信息，我们产生了一个可耻，三维表示的土地层和城市形态。一个自动的对象，OrientedAppach检测单个建筑物并导出形态学信息 - 例如。建筑物尺寸，高度和形状 - 为每种建筑物的每栋建筑物分类为各种建筑类型。随后，将自上而下的方法应用于每个楼宇的城市或地区的总人口。结合了对受影响的地区的信息，该方法应用于两座德国城市，以估计潜在影响的人群高度的准确性。

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