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

Chung Cheng Lee; Chi-Kuei Wang

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

Department of Geomatics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages	2605-2610
Number of pages	6
Volume	4
Publication status	Published - 2011
Event	32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan Duration: 2011 Oct 3 → 2011 Oct 7

Other

Other	32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Country	Taiwan
City	Tapei
Period	11-10-03 → 11-10-07

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

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title = "A study of subtropical forest structure using high density airborne lidar data",

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.",

author = "Lee, {Chung Cheng} and Chi-Kuei Wang",

year = "2011",

language = "English",

isbn = "9781618394972",

volume = "4",

pages = "2605--2610",

booktitle = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011",

note = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011 ; Conference date: 03-10-2011 Through 07-10-2011",

}

TY - GEN

T1 - A study of subtropical forest structure using high density airborne lidar data

AU - Lee, Chung Cheng

AU - Wang, Chi-Kuei

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

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BT - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011

T2 - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011

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