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 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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A study of subtropical forest structure using high density airborne lidar data. / Lee, Chung Cheng; Wang, Chi-Kuei.
32nd Asian Conference on Remote Sensing 2011, ACRS 2011. Vol. 4 2011. p. 2605-2610.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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.
UR - http://www.scopus.com/inward/record.url?scp=84865682110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865682110&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84865682110
SN - 9781618394972
VL - 4
SP - 2605
EP - 2610
BT - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
ER -