Separating leaves from trunks and branches with dual-wavelength terrestrial lidar scanning

Zhan Li, Ewan Douglas, Alan Strahler, Crystal Schaaf, Xiaoyuan Yang, Zhuosen Wang, Tian Yao, Feng Zhao, Edward J. Saenz, Ian Paynter, Curtis E. Woodcock, Supriya Chakrabarti, Timothy Cook, Jason Martel, Glenn Howe, David L.B. Jupp, Darius S. Culvenor, Glenn J. Newnham, Jenny L. Lovell

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

22 Scopus citations

Abstract

Terrestrial laser scanning combining both near-infrared (NIR) and shortwave-infrared (SWIR) wavelengths can readily distinguish broad leaves from trunks, branches, and ground surfaces. Merging data from the 1548 nm SWIR laser in the Dual-Wavelength Echidna® Lidar (DWEL) instrument in engineering trials with data from the 1064 nm NIR laser in the Echidna ® Validation Instrument (EVI), we imaged a deciduous forest scene at the Harvard Forest, Petersham, Massachusetts, and showed that trunks are about twice as bright as leaves at 1548 nm, while they have about equal brightness at 1064 nm. The reduced return of leaves in the SWIR is also evident in merged point clouds constructed from the two laser scans. This distinctive difference between leaf and trunk reflectance in the two wavelengths validates the principle of effective discrimination of leaves from other targets using the new dual-wavelength instrument.

Original languageEnglish (US)
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages3383-3386
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: Jul 21 2013Jul 26 2013

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period7/21/137/26/13

Keywords

  • Leaves
  • Near-infrared reflectance
  • Shortwave infrared reflectance
  • Terrestrial lidar
  • Trunks

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Separating leaves from trunks and branches with dual-wavelength terrestrial lidar scanning'. Together they form a unique fingerprint.

Cite this