COMPARISON OF HIGH DENSITY LASER SCANNING METHODS FOR TREE-LEVEL BIOMASS ESTIMATION

Ville Kankare*, Markus Holopainen, Mikko Vastaranta, Juha Hyyppä, Hannu Hyyppä, Petteri Alho

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Determination of aboveground biomass (AGB) requires accurate measurements from individual trees including measurements of height, multiple stem diameters, density of the wood, bark and branches, and dry mass of the needless. These measurements are time-consuming and expensive, and can only be collected in a destructive manner. Terrestrial and airborne laser scanning (TLS / ALS) are promising techniques for measuring the required tree attributes that can be used in the estimation of AGB of the single trees. TLS and ALS produce dense three-dimensional (3D) point clouds that can be used in extraction of various tree attributes. The main objective was to develop and evaluate the accuracy of a combination of ALS and TLS in total AGB modelling. The study also reviews state-of-the-art in laser scanning-based single tree AGB modelling. The use of ALS in the estimation of canopy biomass have been promising, but can be further improved with TLS data. Thus, in the further studies TLS and ALS should be combined to improve the single tree AGB modelling accuracy.

Original languageEnglish
Title of host publicationPAPERS OF THE 22ND EUROPEAN BIOMASS CONFERENCE: SETTING THE COURSE FOR A BIOBASED ECONOMY
EditorsC Hoffman, D Baxter, K Maniatis, A Grassi, P Helm
PublisherETA Florence
Pages150-155
Number of pages6
ISBN (Electronic)978-88-89407-52-3
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventEuropean International Biomass Conference - Setting the Course for a Biobased Economy - Hamburg, Germany
Duration: 23 Jun 201426 Jun 2014
Conference number: 22

Conference

ConferenceEuropean International Biomass Conference - Setting the Course for a Biobased Economy
CountryGermany
CityHamburg
Period23/06/201426/06/2014

Keywords

  • biomass
  • resources
  • mapping
  • remote sensing
  • laser scanning
  • SMALL-FOOTPRINT LIDAR
  • NORWAY SPRUCE
  • BRANCH BIOMASS
  • FOREST BIOMASS
  • SCOTS PINE
  • TERRESTRIAL
  • VOLUME
  • EQUATIONS
  • FINLAND
  • BIRCH

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