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

Chung Cheng Lee, Chi-Kuei Wang

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

Abstract

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.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages2605-2610
Number of pages6
Volume4
Publication statusPublished - 2011
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 2011 Oct 32011 Oct 7

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan
CityTapei
Period11-10-0311-10-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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