Detailed reconstruction of trees from terrestrial laser scans for remote sensing and radiative transfer modelling applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F21%3A00547195" target="_blank" >RIV/86652079:_____/21:00547195 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/insilicoplants/article/3/2/diab026/6358408" target="_blank" >https://academic.oup.com/insilicoplants/article/3/2/diab026/6358408</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/insilicoplants/diab026" target="_blank" >10.1093/insilicoplants/diab026</a>
Alternative languages
Result language
angličtina
Original language name
Detailed reconstruction of trees from terrestrial laser scans for remote sensing and radiative transfer modelling applications
Original language description
This study presents a method for three-dimensional (3D) reconstruction of forest tree species that are, for instance, required for simulations of 3D canopies in radiative transfer modelling. We selected three forest species of different architecture: Norway spruce (Picea abies) and European beech (Fagus sylvatica), representatives of European production forests, and white peppermint (Eucalyptus pulchella), a common forest species of Tasmania. Each species has a specific crown structure and foliage distribution. Our algorithm for 3D model construction of a single tree is based on terrestrial laser scanning (TLS) and ancillary field measurements of leaf angle distribution, percentage of current-year and older leaves, and other parameters that could not be derived from TLS data. The algorithm comprises four main steps: (i) segmentation of a TLS tree point cloud separating wooden parts from foliage, (ii) reconstruction of wooden parts (trunks and branches) from TLS data, (iii) biologically genuine distribution of foliage within the tree crown and (iv) separation of foliage into two age categories (for spruce trees only). The reconstructed 3D models of the tree species were used to build virtual forest scenes in the Discrete Anisotropic Radiative Transfer model and to simulate canopy optical signals, specifically: angularly anisotropic top-of-canopy reflectance (for retrieval of leaf biochemical compounds from nadir canopy reflectance signatures captured in airborne imaging spectroscopy data) and solar-induced chlorophyll fluorescence signal (for experimentally unfeasible sensitivity analyses).
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
in silico Plants
ISSN
2517-5025
e-ISSN
2517-5025
Volume of the periodical
3
Issue of the periodical within the volume
2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
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UT code for WoS article
000745293200009
EID of the result in the Scopus database
2-s2.0-85119480980