...
首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Qualitative and quantitative applications of LiDAR imagery in fluvial geomorphology
【24h】

Qualitative and quantitative applications of LiDAR imagery in fluvial geomorphology

机译:LiDAR影像在河流地貌学中的定性和定量应用

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The potential for geomorphological mapping and quantitative calculations of light detection and ranging (LiDAR) data within fluvial geomorphology was studied for two river catchments within Belgium (Dijle and Ambleve), which differ in physical settings and floodplain morphology. Two commercial, of-the-shelf LiDAR datasets with different specifications (horizontal resolution and vertical accuracy) were available for parts of the floodplains of both catchments. Real-time kinematic (RTK) Global Positioning System (GPS) data were used as ground truth for error calculations. Qualitative analysis of LiDAR data allowed the identification of former channel patterns, levees, colluvial hillslope and fan deposits. These results were confirmed by field data, topographic surveys and historical maps. The pixel resolution proved to be an important factor in the identification of small landforms: only features with a width equal to or larger than LiDAR resolution can be detected. This poses limits on the usability of regionally available LiDAR data, which often have a horizontal resolution of several metres. The LiDAR data were also used in a quantitative analysis of channel dynamics. In the Study area, the width of the Dijle River channel increased 3 m on average between 1969 and 2003. A sediment budget of channel processes for the period 1969-2003 indicated a total river bank erosion of 16.1 10(3) m(3) and a total within channel deposition of 7.1 10(3) m(3), resulting in a net river erosion of 9.0 10(3) m(3) or c. 0.4 Mg year(-1) per metre river length. Sequential LiDAR data can in theory be used to calculate vertical sedimentation rates, as long as there is control on the error of the reference levels used. Copyright (C) 2008 John Wiley and Sons, Ltd.
机译:研究了比利时境内两个河流集水区(Dijle和Ambleve)在物理环境和洪泛​​区形态上有所不同的潜在河床地貌中的地貌制图和光检测和测距(LiDAR)数据定量计算的潜力。两个集水区的部分洪泛区都有两个不同规格(水平分辨率和垂直精度)的商业LiDAR数据集。实时运动学(RTK)全球定位系统(GPS)数据被用作误差计算的基础。通过对LiDAR数据进行定性分析,可以识别以前的通道模式,堤坝,冲积坡度和扇形沉积物。这些结果通过现场数据,地形调查和历史地图得到了证实。像素分辨率被证明是识别小地形的重要因素:只能检测到宽度等于或大于LiDAR分辨率的特征。这就限制了区域可用的LiDAR数据的可用性,该数据通常具有几米的水平分辨率。 LiDAR数据还用于通道动力学的定量分析。在研究区域中,迪杰河河道的宽度在1969年至2003年之间平均增加了3m。1969-2003年河道过程的沉积物预算表明,河岸总侵蚀量为16.1 10(3)m(3)。河道内的沉积总量为7.1 10(3)m(3),导致河流净侵蚀量为9.0 10(3)m(3)或c。每米河流长度0.4 Mg年(-1)。理论上,只要能够控制所用参考液位的误差,就可以使用顺序LiDAR数据计算垂直沉降速率。版权所有(C)2008 John Wiley and Sons,Ltd.

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