A study of subtropical forest structure using high density airborne lidar data

Chung Cheng Lee, Chi-Kuei Wang

研究成果: Conference contribution

摘要

Airborne lidar system is becoming an effective tool for tree crown identification and canopy mapping. This study involves the examination of tree position depicted by digital surface model and canopy height model derived from lidar point cloud of a subtropical forest. Due to the complex structure of the forest, little of the lidar point arrives at the ground. It is expected that the lidar point data density has significant effect on the accuracy of tree position determined from the point data. To verify this, a lidar data with an averaged point density of 276 points/m 2 was obtained and the point density was randomly thinned to 1, 5, 10, 20, 30, 40, 50, and 100 points/m 2. The results of the tree positions were compared to that using a FARO Photon 120 terrestrial laser scanner.

原文English
主出版物標題32nd Asian Conference on Remote Sensing 2011, ACRS 2011
頁面2605-2610
頁數6
4
出版狀態Published - 2011
事件32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
持續時間: 2011 十月 32011 十月 7

Other

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

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

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