Assessment of lidar data for instream flow type classification

Chi-Kuei Wang, Yu Li Lin

研究成果: Conference contribution

摘要

The information of instrem biotype, i.e., types, location, distribution, etc, are important for estuary environment management. Field observations carry out by ecology surveyor is the standard procedure to gather that information, which is time consuming and is difficult to be applied to a large spatial extend. The instream biotype is classified according to the flow type, water depth, substrate material, and bottom topography. The roughness characteristic of the water surface can be extracted from the high density point cloud acquired by airborne topographic lidar, which can then be used for flow type classification. This implies a great potential of using lidar for instream biotype classification to a large spatial extend in a timely manner. We employed semi-variogram for the water surface roughness characterization. The principle component analysis is then used for the flow type classification. The results show that the first and second principle components are closely related to the flow type considered in this study, i.e., unbroken standing wave, ripple and no perceptible flow.

原文English
主出版物標題30th Asian Conference on Remote Sensing 2009, ACRS 2009
頁面1502-1507
頁數6
3
出版狀態Published - 2009
事件30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
持續時間: 2009 十月 182009 十月 23

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
國家/地區China
城市Beijing
期間09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

指紋

深入研究「Assessment of lidar data for instream flow type classification」主題。共同形成了獨特的指紋。

引用此