Skip to main navigation Skip to search Skip to main content

Using a full-waveform, ground-based, scanning lidar (Echidna®) to retrieve forest vegetation structural parameters in american hardwood and conifer stands

  • A. Strahler
  • , T. Yao
  • , F. Zhao
  • , X. Yang
  • , Z. Wang
  • , C. Schaaf
  • , C. Woodcock
  • , D. Jupp
  • , D. Culvenor
  • , G. Newnham
  • , J. Lovell
  • Boston University
  • CSIRO

Research output: Contribution to conferencePaperpeer-review

Abstract

A ground-based, scanning, near-infrared (1064 nm) lidar, the Echidna® validation instrument (EVI), built by CSIRO Australia, retrieves structural parameters of forest stands rapidly and accurately, and by merging multiple scans into a single point cloud also provides 3-D stand reconstructions. Scans and field work in the USA (New England in 2007 and the Sierra Nevada of California in 2008) show that retrievals of mean tree diameter, stem count density (stems/ha), basal area, above-ground woody biomass, and leaf area index for 1-ha plots match conventional field measurements very well. Three-D forest reconstructions provide the ability to make virtual structural measurements that also match field measurements very well.

Original languageEnglish
StatePublished - 2011
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: Apr 10 2011Apr 15 2011

Conference

Conference34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Country/TerritoryAustralia
CitySydney, NSW
Period4/10/114/15/11

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Environmental Engineering

Keywords

  • 3-D reconstruction
  • Forest structure
  • Ground-based lidar

Fingerprint

Dive into the research topics of 'Using a full-waveform, ground-based, scanning lidar (Echidna®) to retrieve forest vegetation structural parameters in american hardwood and conifer stands'. Together they form a unique fingerprint.

Cite this