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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages816-819
Number of pages4
ISBN (Electronic)9781479957750
DOIs
Publication statusPublished - Jan 1 2014
EventJoint 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 2014Jul 18 2014

Other

OtherJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
CountryCanada
CityQuebec City
Period7/13/147/18/14

Fingerprint

scanner
tropical forest
laser
forest inventory
Mean square error
Lasers
Remote sensing
Satellites
sensor
remote sensing
accuracy assessment
Sensors
Developing countries
developing world
stem

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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 proceedingConference 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
Kato A, Kajiwara K, Honda Y, Watanabe M, Enoki T, Yamaguchi Y et al. Efficient field data collection of tropical forest using terrestrial laser scanner. In International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc. 2014. p. 816-819. 6946549 https://doi.org/10.1109/IGARSS.2014.6946549
Kato, Akira ; Kajiwara, Koji ; Honda, Yoshiaki ; Watanabe, Manabu ; Enoki, Tsutomu ; Yamaguchi, Yoshio ; Kobayashi, Tatsuaki. / Efficient field data collection of tropical forest using terrestrial laser scanner. International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. pp. 816-819
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