Estimation of biomass of tree roots by GPR with high accuracy positioning system

Yuya Yokota, Masayoshi Matsumoto, Ahmed Gaber, Mark Grasmueck, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

A new approach for estimation of the tree root biomass is proposed by using GPR system with high accuracy positioning system. The 3D images of subsurface can be obtained clearly with this system, which we refer as "3DGPR". We try to estimate the biomass of tree roots quantitatively by measuring the volume of the tree roots. We tested this system for tree roots measurement, and the broadening of the tree root with horizontal direction could be detected with 500 MHz and 800 MHz antenna. We excavated this tree every 10 cm from 0 cm to 50 cm to validate the accuracy of the result. Compared with the measurement result and the excavated one, the tree root whose diameter is more than 5 cm could be detected correctly. Some tree roots whose diameter is 3 cm also could be detected. The diameter in most of the tree roots is more than 2cm. In this result, we expect that the volume is supposed to be estimated within 30 percent error by using the excavated result for calibration data.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages190-193
Number of pages4
DOIs
Publication statusPublished - 2011 Nov 16
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 2011 Jul 242011 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Country/TerritoryCanada
CityVancouver, BC
Period11/7/2411/7/29

Keywords

  • 3D-image
  • Biomass estimation
  • Grand Penetrating Radar
  • Tree root

ASJC Scopus subject areas

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

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