Detailed reconstruction of trees from terrestrial laser scans for remote sensing and radiative transfer modelling applications

Author:

Janoutová Růžena1ORCID,Homolová Lucie1,Novotný Jan1,Navrátilová Barbora1,Pikl Miroslav1,Malenovský Zbyněk2

Affiliation:

1. Department of Remote Sensing, Global Change Research Institute of the Czech Academy of Sciences, Bělidla 4a, 60300 Brno, Czech Republic

2. School of Geography, Planning, and Spatial Sciences, College of Sciences Engineering and Technology, University of Tasmania, Private Bag 76, TAS 7001 Hobart, Australia

Abstract

Abstract 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).

Funder

Ministry of Education, Youth and Sports of Czech Republic

European Cooperation in Science and Technology

Australian Research Council

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Agronomy and Crop Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Modelling and Simulation

Reference68 articles.

1. Olive biophysical property estimation based on Sentinel-2 image inversion;Abdelmoula,2018

2. Comparison and combination of mobile and terrestrial laser scanning for natural forest inventories;Bienert;Forests,2018

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