Potential of temporal information of high density airborne LiDAR data forinstream flow type classification

Yu Li Lin, Chi Kuei Wang

研究成果: Conference contribution

摘要

Instream habitat mapping is an important task for river management. Remote sensing techniques have been successfully applied to replace the conventional method of habitat mapping due to the disadvantages of conventional method like expansive, labor intensive and time-consuming. Airborne LiDAR (Light Detection And Ranging) combining standard deviation analysis has been proved to be effective for instream habitat mapping in the last research. In this research, we improved the point density of LiDAR data and collected the ground truth data with the aim of GPS for accurate positioning. New methods using temporal information of water surface to discriminate instream flow types are tested and compare to the original method. The result shows that standard deviation of average surface elevation provides the best classification accuracy, and as the LiDAR technique improved, it has a great potential to be a useful tool for instream flow type classification in the future.

原文English
主出版物標題32nd Asian Conference on Remote Sensing 2011, ACRS 2011
頁面1030-1035
頁數6
出版狀態Published - 2011 十二月 1
事件32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
持續時間: 2011 十月 32011 十月 7

出版系列

名字32nd Asian Conference on Remote Sensing 2011, ACRS 2011
2

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
國家Taiwan
城市Tapei
期間11-10-0311-10-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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