长江科学院院报 ›› 2019, Vol. 36 ›› Issue (11): 167-170.DOI: 10.11988/ckyyb.20190455

• 仪器设备与测试技术 • 上一篇    

利用机载双激光测深反演近岸水体含沙量的方法

周丰年1,2   

  1. 1.长江水利委员会水文局 长江口水文水资源勘测局,上海 200136;
    2.上海河口海洋测绘工程技术研究中心,上海 201306
  • 收稿日期:2019-04-22 出版日期:2019-11-01 发布日期:2019-11-11
  • 作者简介:周丰年(1963-),男,湖北鄂州人,教授级高级工程师,硕士,注册测绘师,主要从事海洋水文和海洋测绘研究。E-mail:cjkfnzhou@126.com
  • 基金资助:
    上海市科学技术委员会重点研发计划项目(17DZ1204900);上海市水务局(海洋局)科研项目(沪海科2018-04)

Retrieving Suspended Sediment Concentration by Using Water Surface Points of Infrared Laser and Green Laser in Airborne LiDAR Bathymetry

ZHOU Feng-nian1,2   

  1. 1.Changjiang River Estuary Bureau of Hydrological and Water Resources Survey, Bureau of Hydrology of Changjiang Water Resources Commission, Shanghai 200136, China;
    2.Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping, Shanghai 201306, China
  • Received:2019-04-22 Online:2019-11-01 Published:2019-11-11

摘要: 为解决利用机载激光测深(Airborne LiDAR bathymetry, ALB)波形数据估计水体含沙量(Suspended Sediment Concentration, SSC)难题,提出了一种利用ALB三维点云数据反演水体含沙量的新方法。首先,基于绿激光水面点和红外激光水面点计算绿激光水面穿透量;其次,利用实测水体含沙量及对应绿激光水面穿透量构建SSC经验模型;最后,基于构建的SSC经验模型实现了利用ALB三维点云的水体含沙量估计。实验验证了该方法的有效性,取得了优于20 mg/L的SSC反演精度,为水体含沙量信息的高精度、大区域面获取提供了一种新途径。

关键词: 水体含沙量, 机载激光测深, 红外激光, 绿激光, 水面穿透量, 三维点云数据, 水面不可靠问题

Abstract: High-precision estimation of sediment concentration in water can be achieved by using the waveform data of airborne LiDAR bathymetry (ALB). However, waveform data is difficult to be obtained and utilized. In view of this, a simple method to retrieve the sediment concentration using ALB 3D point cloud data is proposed. Firstly, the green laser water surface penetration is calculated based on the green laser water surface point and the infrared laser water surface point. Secondly, the empirical model of Suspended Sediment Concentration (SSC) is constructed by using the measured SSC and the corresponding green laser water surface penetration. Finally, the sediment content of the lower water body is obtained conveniently by the constructed SSC empirical model. Experimental results validate that the method is effective and has the inversion accuracy of SSC better than 20 mg/L. The proposed method provides a simple and fast approach to estimate SSC.

Key words: Suspended Sediment Concentration (SSC), Airborne LiDAR Bathymetry (ALB), IR laser, green laser, near water surface penetration(NWSP), 3D point cloud data, water surface uncertainty

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