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Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning

Jiri Pyorala, Xinlian Liang, Mikko Vastaranta, Ninni Saarinen, Ville Kankare, Yunsheng Wang, Markus Holopainen, Juha Hyyppa
2018 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Our aim was to develop a quantitative method to detect and model branches from terrestrial laser scanning (TLS) point clouds data of trees in a forest environment.  ...  Thus, the completeness and point density of the data should be addressed when applying TLS point cloud based tree models to assess branch parameters.  ...  Helminen from Natural Resources Institute Finland for collecting and providing the field data. The language was edited by A. Mclean (Ph.D.).  ... 
doi:10.1109/jstars.2018.2819598 fatcat:whzpmoeysff4nedplh4k6ox3va

TLS: a new standard of forest measuring and modelling?

Markku Åkerblom, Pekka Kaitaniemi
2021 Annals of Botany  
characterization of urban trees, and enhancement of ecological and evolutionary models.  ...  Scope Terrestrial laser scanning (TLS), performed from the ground or from unmanned aerial vehicles, in particular, has potential to become a unifying measurement standard for forest research questions,  ...  ) to describe the result of a tree structure reconstruction procedure from TLS data.  ... 
doi:10.1093/aob/mcab111 pmid:34487143 pmcid:PMC8557362 fatcat:ichsb6aw6zayzccmyv3mqjm6uu

Tree structure vs. height from terrestrial laser scanning and quantitative structure models

Anssi Krooks, Sanna Kaasalainen, Ville Kankare, Marianna Joensuu, Pasi Raumonen, Mikko Kaasalainen
2014 Silva Fennica  
Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models. Silva Fennica vol. 48 no. 2 article id 1125. 11 p.  ...  Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models Krooks A., Kaasalainen S., Kankare V., Joensuu M., Raumonen P., Kaasalainen M. (2014).  ...  This study was financially supported by the Academy of Finland projects: 'Modelling and applications of stochastic and regular surfaces in inverse problems' and 'New techniques in active remote sensing  ... 
doi:10.14214/sf.1125 fatcat:jcmpmcrgwzgzbgpa26frishexy

Recruiting Conventional Tree Architecture Models into State-of-the-Art LiDAR Mapping for Investigating Tree Growth Habits in Structure

Yi Lin, Miao Jiang, Petri Pellikka, Janne Heiskanen
2018 Frontiers in Plant Science  
Next, the tree growth habits in structure for each of the tree species were derived from the determined HAM.  ...  This study attempted to recruit Hallé architecture models (HAMs) into LiDAR mapping to investigate tree growth habits in structure.  ...  ACKNOWLEDGMENTS Thank the Mobile Mapping group at the Finnish Geospatial Research Institute for distributing the data.  ... 
doi:10.3389/fpls.2018.00220 pmid:29515616 pmcid:PMC5826307 fatcat:yhkoyifnjbbajfmdm3chghraz4

Terrestrial LiDAR: a three-dimensional revolution in how we look at trees

Mathias Disney
2018 New Phytologist  
Turning points into trees IV. Current and future applications of TLS V.  ...  TLS measurements are helping to test fundamental ecological theories and enabling new and better exploitation of other measurements and models that depend on 3D structural information.  ...  Colours represent separate branch segments derived from the TLS data. 'Crown shyness' is clearly visible. Figure 3 . 3 Figure 3.  ... 
doi:10.1111/nph.15517 pmid:30295928 fatcat:nq4ezhbrcrewngjyhqvewjg6w4

Assessing wood properties in standing timber with laser scanning

Jiri Pyörälä
2020 Dissertationes Forestales  
In the assessment of wood properties, TLS should be considered as a tool for retrieving as dense stem and branching data as possible from carefully selected sample trees.  ...  Thirdly, the accuracies of tree-specific crown features delineated from the ALS data in predictive modeling of the wood quality indicators were evaluated.  ...  The feasibilities of the TLS data, the quantitative methods applied and the ALS modeling scheme to capture tree traits that could be used to assess various wood properties were inferred from the results  ... 
doi:10.14214/df.295 fatcat:6dfbd2kuc5fdfpa2i5g5k2g5de

Detailed point cloud data on stem size and shape of Scots pine trees [article]

Ninni Saarinen, Ville Kankare, Tuomas Yrttimaa, Niko Viljanen, Eija Honkavaara, Markus Holopainen, Juha Hyyppä, Saija Huuskonen, Jari Hynynen, Mikko Vastaranta
2020 bioRxiv   pre-print
This data set includes 3D reconstructions of stems of Scots pine (Pinus sylvestris L.) trees from sample plots with different thinning treatments.  ...  comprehensively in space and time.  ...  Stem point extraction from TLS and UAV data Point clouds from TLS and UAV were combined for characterizing Scots pine trees as comprehensively as possible.  ... 
doi:10.1101/2020.03.09.983973 fatcat:xatilrnd5jd4tj7txjsilz4kce

Weighing trees with lasers: advances, challenges and opportunities

M. I. Disney, M. Boni Vicari, A. Burt, K. Calders, S. L. Lewis, P. Raumonen, P. Wilkes
2018 Interface Focus  
We show examples of three-dimensional (3D) TLS measurements from various tropical and temperate forests and describe how the resulting TLS point clouds can be used to produce quantitative 3D models of  ...  Figure 6 shows the example trees extracted from the Wytham Woods data in figure 2; figures 7 and 8 show the final triangulation model.  ... 
doi:10.1098/rsfs.2017.0048 pmid:29503726 pmcid:PMC5829188 fatcat:pucz3npggbfdppk5ixolyvkbve

An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data

Bingxiao Wu, Guang Zheng, Yang Chen
2020 Remote Sensing  
It is still challenging to use deep learning models to classify canopy components from the point cloud data collected in forests by terrestrial laser scanning (TLS).  ...  to classify all tested TLS data. (3) The FWCNN model has great potential to classify TLS data in mixed forests with OA > 84.26% (Kappa ≥ 0.67).  ...  We thank the Red Soil Ecological Experimental Station of the Institute of Soil Science, Chinese Academy of Sciences for supporting us for the point cloud data collection.  ... 
doi:10.3390/rs12061010 fatcat:xywqkjsbevd7vgmffjk3agamcq

Innovations in Ground and Airborne Technologies as Reference and for Training and Validation: Terrestrial Laser Scanning (TLS)

M. Disney, A. Burt, K. Calders, C. Schaaf, A. Stovall
2019 Surveys in geophysics  
Comparing TLS with harvested AGB shows r 2 > 0.95 for all studies thus far, with absolute agreement to within 10% at the individual tree level for all trees and to within 2% in the majority of cases.  ...  AGB from space, with better-characterised, lower uncertainties.  ...  Acknowledgements MD acknowledges funding support from: NERC NCEO; NERC Standard Grants NE/N00373X/1 and NE/P011780/1; European Union's Horizon 2020 research and innovation programme under Grant Agreement  ... 
doi:10.1007/s10712-019-09527-x fatcat:fnamvvzbobdm3odrcuf6j57dj4

3D Tree Reconstruction in Support of Urban Microclimate Simulation: A Comprehensive Literature Review

Han Xu, Cynthia Changxin Wang, Xuesong Shen, Sisi Zlatanova
2021 Buildings  
Digital city information modeling provides a powerful tool for various simulations and data analytics for the sustainable development of urban areas.  ...  However, the method reconstructing urban trees is still in its early stage compared to the relatively mature building modeling.  ...  By contrast, in TLS, objects are scanned from the ground, therefore there may be less data of the top of the objects in the point clouds.  ... 
doi:10.3390/buildings11090417 fatcat:f2onug45bvdgtptcdih2qlbsjq

Terrestrial laser scanning as a tool for assessing tree growth

J Sheppard, C Morhart, J Hackenberg, H Spiecker
2017 iForest : Biogeosciences and Forestry  
We applied TLS technology to 21 wild cherry trees grown in a research plot near Breisach (southern Germany) in order to build quantitative structure models (QSMs) for each tree.  ...  The availability of QSMs based on TLS-derived data allowed the accurate determination of crown length and width, as well as the volume reduction as the result of the tree pruning applied after the first  ...  Acknowledgements The authors thank Georgios Skiadaresis for data pre-processing and Felix Baab for continued technical support.  ... 
doi:10.3832/ifor2138-009 fatcat:wc3bwtlb2vdpzcos53pds6rsoq

Response of Beech (Fagus sylvatica L.) Trees to Competition—New Insights from Using Fractal Analysis

Dorji, Annighöfer, Ammer, Seidel
2019 Remote Sensing  
We created detailed quantitative structure models (QSMs) for all study trees to describe their branching architecture.  ...  Using 3D-laser scanning data from the German Biodiversity Exploratories, we investigated the detailed three-dimensional architecture of 24 beech (Fagus sylvatica L.) trees that grew under different levels  ...  Acknowledgments: We are grateful to Jeromé Metz who provided us the scan data of the trees.  ... 
doi:10.3390/rs11222656 fatcat:6ip3a5hwxjd2rpnv557adz5qsa


E. Bournez, T. Landes, M. Saudreau, P. Kastendeuch, G. Najjar
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This is the reason why, since 2013, we have been developing an algorithm for the reconstruction of trees from terrestrial laser scanner (TLS) data, which we call TreeArchitecture.  ...  Finally, qualitative and quantitative assessments of the models are performed using reference tree reconstructions and field measurements.  ...  The authors would also like to thank the Eurometropolis of Strasbourg for providing them access to 2D and 3D data over Strasbourg.  ... 
doi:10.5194/isprs-archives-xlii-2-w3-113-2017 fatcat:qyvkdp7dpbewnnpw527pvjj7mu

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

Kim Calders, Niall Origo, Andrew Burt, Mathias Disney, Joanne Nightingale, Pasi Raumonen, Markku Åkerblom, Yadvinder Malhi, Philip Lewis
2018 Remote Sensing  
Our approach to forest stand reconstruction from a co-registered point cloud is unique as it models each tree individually.  ...  We matched the TLS data with traditional census data to determine the species of each individual tree and allocate species-specific radiometric properties.  ...  The grey area represents the location of the one hectare virtual model (summer fieldwork, modified from [23] ). Leaf−off TLS data Leaf−on TLS data Figure A2 .  ... 
doi:10.3390/rs10060933 fatcat:pjj42vdjovenjkk3t7x3xtn3ta
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