Massive-Scale Tree Modelling from TLS Data
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
Original language | English |
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Title of host publication | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Editors | U Stilla, C Heipke |
Place of Publication | GOTTINGEN |
Publisher | COPERNICUS GESELLSCHAFT MBH |
Pages | 189-196 |
Number of pages | 8 |
Volume | II-3/W4 |
DOIs | |
Publication status | Published - 2015 |
Publication type | A4 Article in a conference publication |
Event | Joint ISPRS Conference on Photogrammetric Image Analysis (PIA) and High Resolution Earth Imaging for Geospatial Information (HRIGI) - Munich, Germany Duration: 25 Mar 2015 → 27 Mar 2015 |
Publication series
Name | International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences |
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Publisher | COPERNICUS GESELLSCHAFT MBH |
Volume | 43 |
ISSN (Print) | 2194-9034 |
Conference
Conference | Joint ISPRS Conference on Photogrammetric Image Analysis (PIA) and High Resolution Earth Imaging for Geospatial Information (HRIGI) |
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Country | Germany |
Period | 25/03/15 → 27/03/15 |
Abstract
This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e. g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.
Keywords
- quantitative structure model, automatic tree extraction, biomass, forest plot, ground truth, oak, eucalyptus, LiDAR, laser scanner data, terrestrial