Assessment of lidar data for instream flow type classification

Chi-Kuei Wang, Yu Li Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages1502-1507
Number of pages6
Volume3
Publication statusPublished - 2009
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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