Efficient field data collection of tropical forest using terrestrial laser scanner

Akira Kato; Koji Kajiwara; Yoshiaki Honda; Manabu Watanabe; Tsutomu Enoki; Yoshio Yamaguchi; Tatsuaki Kobayashi

doi:10.1109/IGARSS.2014.6946549

Efficient field data collection of tropical forest using terrestrial laser scanner

Akira Kato, Koji Kajiwara, Yoshiaki Honda, Manabu Watanabe, Tsutomu Enoki, Yoshio Yamaguchi, Tatsuaki Kobayashi

University Forest

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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	https://doi.org/10.1109/IGARSS.2014.6946549
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

All Science Journal Classification (ASJC) codes

Computer Science Applications
Earth and Planetary Sciences(all)

Access to Document

10.1109/IGARSS.2014.6946549

Fingerprint Dive into the research topics of 'Efficient field data collection of tropical forest using terrestrial laser scanner'. Together they form a unique fingerprint.

Cite this

Kato, A., Kajiwara, K., Honda, Y., Watanabe, M., Enoki, T., Yamaguchi, Y., & Kobayashi, T. (2014). Efficient field data collection of tropical forest using terrestrial laser scanner. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 816-819). [6946549] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2014.6946549

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

Kato, A, Kajiwara, K, Honda, Y, Watanabe, M, Enoki, T, Yamaguchi, Y & Kobayashi, T 2014, Efficient field data collection of tropical forest using terrestrial laser scanner. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6946549, Institute of Electrical and Electronics Engineers Inc., pp. 816-819, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 7/13/14. https://doi.org/10.1109/IGARSS.2014.6946549

@inproceedings{ec1ae384f88c404089c39ebbe835fda4,

title = "Efficient field data collection of tropical forest using terrestrial laser scanner",

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.",

author = "Akira Kato and Koji Kajiwara and Yoshiaki Honda and Manabu Watanabe and Tsutomu Enoki and Yoshio Yamaguchi and Tatsuaki Kobayashi",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/IGARSS.2014.6946549",

language = "English",

pages = "816--819",

booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",

}

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.

T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014

Y2 - 13 July 2014 through 18 July 2014

ER -