首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >Remote sensing derived datasets supporting disaster alert systems on multiscales via web services
【24h】

Remote sensing derived datasets supporting disaster alert systems on multiscales via web services

机译:遥感衍生数据集通过网络服务支持多尺度的灾害预警系统

获取原文

摘要

This paper shows how remote sensing derived information about the human and physical exposure can be used to support disaster alert systems. The human and physical exposures are calculated from LandScan and GHSL datasets, respectively. In this approach, a multiscale alert system relies on Web services that offer information about the amount of population and infrastructure affected by a given hazard. Four natural disaster scenarios have been selected to cover different spatial scales and disaster types.
机译:本文展示了如何利用遥感技术获得的有关人身和身体暴露的信息来支持灾难警报系统。人体和物理暴露分别从LandScan和GHSL数据集计算得出。在这种方法中,多尺度警报系统依赖于Web服务,该服务提供有关受给定危害影响的人口和基础设施数量的信息。选择了四种自然灾害场景以涵盖不同的空间规模和灾害类型。

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