• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIII >The use of LiDAR-derived high-resolution DSM and intensity data to support modelling of urban flooding
【24h】

The use of LiDAR-derived high-resolution DSM and intensity data to support modelling of urban flooding

机译：使用LiDAR衍生的高分辨率DSM和强度数据来支持城市洪水建模

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper addresses the issue of a detailed representation of an urban catchment in terms of hydraulic and hydrologic attributes. Modelling of urban flooding requires a detailed knowledge of urban surface characteristics. The advancement in spatial data acquisition technology such as airborne LiDAR (Light Detection and Ranging) has greatly facilitated the collection of high-resolution topographic information. While the use of the LiDAR-derived Digital Surface Model (DSM) has gained popularity over the last few years as input data for a flood simulation model, the use of LiDAR intensity data has remained largely unexplored in this regard. LiDAR intensity data are acquired along with elevation data during the data collection mission by an aircraft. The practice of using of just aerial images with RGB (Red, Green and Blue) wavebands is often incapable of identifying types of surface under the shadow. On the other hand, LiDAR intensity data can provide surface information independent of sunlight conditions. The focus of this study is the use of intensity data in combination with aerial images to accurately map pervious and impervious urban areas. This study presents an Object-Based Image Analysis (OBIA) framework for detecting urban land cover types, mainly pervious and impervious surfaces in order to improve the rainfall-runoff modelling. Finally, this study shows the application of high-resolution DSM and land cover maps to flood simulation software in order to visualize the depth and extent of urban flooding phenomena.
机译：本文从水力和水文属性的角度解决了城市集水区的详细表示问题。对城市洪水进行建模需要对城市地表特征有详细的了解。机载LiDAR（光检测和测距）等空间数据采集技术的发展极大地促进了高分辨率地形信息的收集。尽管在过去的几年中，使用LiDAR衍生的数字表面模型（DSM）作为洪水模拟模型的输入数据已变得越来越流行，但在这方面仍未广泛使用LiDAR强度数据。在飞机执行数据收集任务期间，会同时获取LiDAR强度数据和海拔数据。仅使用具有RGB（红色，绿色和蓝色）波段的航拍图像的做法通常无法识别阴影下的表面类型。另一方面，LiDAR强度数据可以提供独立于阳光条件的表面信息。这项研究的重点是结合使用强度数据和航拍图像来准确绘制透水和不透水的城市区域。这项研究提出了一种基于对象的图像分析（OBIA）框架，用于检测城市土地覆盖类型，主要是透水和不透水的表面，以改善降雨径流模型。最后，本研究显示了高分辨率DSM和土地覆盖图在洪水模拟软件中的应用，以可视化城市洪水现象的深度和程度。

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