Abstract
Various remote sensing technologies are utilized to monitor tropical forest for REDD project. In developing countries, the accuracy of field measurement does not satisfy the quality required for the validation of satellite remotely sensed data. Therefore, we introduce the most portable laser sensor, SICK LMS511, to measure trees in the field of tropical forest and the semi-automatic process to derive tree parameters from the 3D point cloud is established to provide accurate forest inventory data. From the accuracy assessment of the portable laser system provided 3.61 cm of root mean square error (RMSE) of stem diameter and 0.50 m of RMSE of tree height measurement. The portable terrestrial laser sensor can be the standard technique to create forest inventory data for the field validation of satellite remote sensing.
| Original language | English |
|---|---|
| Title of host publication | International Geoscience and Remote Sensing Symposium (IGARSS) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 816-819 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479957750 |
| DOIs | |
| Publication status | Published - Jan 1 2014 |
| Event | Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: Jul 13 2014 → Jul 18 2014 |
Other
| Other | Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 |
|---|---|
| Country | Canada |
| City | Quebec City |
| Period | 7/13/14 → 7/18/14 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)
Cite this
Efficient field data collection of tropical forest using terrestrial laser scanner. / Kato, Akira; Kajiwara, Koji; Honda, Yoshiaki; Watanabe, Manabu; Enoki, Tsutomu; Yamaguchi, Yoshio; Kobayashi, Tatsuaki.
International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. p. 816-819 6946549.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Efficient field data collection of tropical forest using terrestrial laser scanner
AU - Kato, Akira
AU - Kajiwara, Koji
AU - Honda, Yoshiaki
AU - Watanabe, Manabu
AU - Enoki, Tsutomu
AU - Yamaguchi, Yoshio
AU - Kobayashi, Tatsuaki
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Various remote sensing technologies are utilized to monitor tropical forest for REDD project. In developing countries, the accuracy of field measurement does not satisfy the quality required for the validation of satellite remotely sensed data. Therefore, we introduce the most portable laser sensor, SICK LMS511, to measure trees in the field of tropical forest and the semi-automatic process to derive tree parameters from the 3D point cloud is established to provide accurate forest inventory data. From the accuracy assessment of the portable laser system provided 3.61 cm of root mean square error (RMSE) of stem diameter and 0.50 m of RMSE of tree height measurement. The portable terrestrial laser sensor can be the standard technique to create forest inventory data for the field validation of satellite remote sensing.
AB - Various remote sensing technologies are utilized to monitor tropical forest for REDD project. In developing countries, the accuracy of field measurement does not satisfy the quality required for the validation of satellite remotely sensed data. Therefore, we introduce the most portable laser sensor, SICK LMS511, to measure trees in the field of tropical forest and the semi-automatic process to derive tree parameters from the 3D point cloud is established to provide accurate forest inventory data. From the accuracy assessment of the portable laser system provided 3.61 cm of root mean square error (RMSE) of stem diameter and 0.50 m of RMSE of tree height measurement. The portable terrestrial laser sensor can be the standard technique to create forest inventory data for the field validation of satellite remote sensing.
UR - http://www.scopus.com/inward/record.url?scp=84911399514&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911399514&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2014.6946549
DO - 10.1109/IGARSS.2014.6946549
M3 - Conference contribution
AN - SCOPUS:84911399514
SP - 816
EP - 819
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers Inc.
ER -