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Mean Shift Segmentation Assessment for Individual Forest Tree Delineation from Airborne Lidar Data

Wen Xiao, Aleksandra Zaforemska, Magdalena Smigaj, Yunsheng Wang, Rachel Gaulton
2019 Remote Sensing  
This paper provides a detailed assessment of the mean shift algorithm for the segmentation of airborne lidar data, and the effect of crown top detection upon the validation of segmentation results.  ...  One important step of ITD is segmentation, for which various methodologies have been studied.  ...  Berra and Maria V. Peppa (Newcastle University) for their help during the fieldwork in Aberfoyle. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11111263 fatcat:psml7nvklnd6bm6u5py5t2ocf4

Adaptive Mean Shift-Based Identification of Individual Trees Using Airborne LiDAR Data

Xingbo Hu, Wei Chen, Weiyang Xu
2017 Remote Sensing  
technique-to segment the 3D (three-dimensional) forest point clouds and identify individual tree crowns.  ...  bandwidth mean shift procedure and a small square grouping technique, and then rough estimation of crown sizes for distinct trees within a unit, based on an original 2D (two-dimensional) incremental grid  ...  Author Contributions: Xingbo Hu and Weiyang Xu performed the overall mathematical analyses, designed, realized and analysed the experiments. In addition, they wrote and revised the manuscript.  ... 
doi:10.3390/rs9020148 fatcat:p76ke65yvbewtoq5x2ae64m6iu

INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND

A. Zaforemska, W. Xiao, R. Gaulton
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
</strong> The study evaluates five existing segmentation algorithms to determine the method most suitable for individual tree detection across a species-diverse forest: raster-based region growing, local  ...  Crown overlap, suppressed and leaning trees are the most likely sources of error for all the algorithms tested.</p>  ...  Data on individual trees are important inputs for biomass estimation, biodiversity assessments and forest growth models.  ... 
doi:10.5194/isprs-archives-xlii-2-w13-657-2019 fatcat:rysj6dmpmfaqfe6kysr5u4pzca

An individual tree segmentation method based on watershed algorithm and 3D spatial distribution analysis from airborne LiDAR point clouds

Juntao Yang, Zhizhong Kang, Sai Cheng, Zhou Yang, Perpetual Hope Akwensi
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Accurate individual tree segmentation is an important basis for the subsequent calculation and analysis of forestry parameters.  ...  Therefore, this article proposes an individual tree segmentation method based on the marker-controlled watershed algorithm and 3-D spatial distribution analysis from airborne Li-DAR point clouds.  ...  [17] conducted a knowledge-based individual tree crown detection after a local maximum filtering from rasterized LiDAR data in deciduous and mixed temperate forests.  ... 
doi:10.1109/jstars.2020.2979369 fatcat:2skiqh4b6zhxddckd3qnp7zpja

Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data

Julia Maschler, Clement Atzberger, Markus Immitzer
2018 Remote Sensing  
an individual tree crown level in the UNESCO Biosphere Reserve 'Wienerwald', a temperate Austrian forest.  ...  The study also assesses the automation potential for the delineation of tree crowns using a mean shift segmentation algorithm in order to permit model application over large areas.  ...  Acknowledgments: We thank the Austrian state forest enterprise (ÖBf AG), namely Alexandra Wieshaider, for providing the forest stand information.  ... 
doi:10.3390/rs10081218 fatcat:7crwtaljnvbm7fhjtrmruo4s6m

LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives

Dandan Xu, Haobin Wang, Weixin Xu, Zhaoqing Luan, Xia Xu
2021 Forests  
This review highlights the theoretical bases, challenges and future perspectives for Light Detection and Ranging (LiDAR) applications of individual trees scaled to whole forests.  ...  Accurate forest biomass estimation at the individual tree scale is the foundation of timber industry and forest management.  ...  The contributions for W.X., Z.L. and X.X. were to guide the organization of initial ideas and revise the manuscript. All authors have read and agreed to the published version of the manuscript.  ... 
doi:10.3390/f12050550 doaj:a2e1c51afe304291b234b8bf859dc9ea fatcat:e6nwfk45arafdonvebpoidzcqm

Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest

Jack H. Hastings, Scott V. Ollinger, Andrew P. Ouimette, Rebecca Sanders-DeMott, Michael W. Palace, Mark J. Ducey, Franklin B. Sullivan, David Basler, David A. Orwig
2020 Remote Sensing  
The accuracy of all methods was significantly higher with increased plot conifer fraction, and individual conifer trees were identified with higher accuracy (mean 64%) than broadleaf trees (42%) across  ...  While individual tree crown delineation (ITCD) methods have proven successful in conifer-dominated forests using Light Detection and Ranging (LiDAR) data, it remains unclear how well these methods can  ...  Acknowledgments: The authors would like to acknowledge the numerous field technicians at Harvard Forest who helped collected the ForestGEO stem data.  ... 
doi:10.3390/rs12020309 fatcat:2hmndej6vrctta7kbe3plkle5y

A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests

Mélaine Aubry-Kientz, Raphaël Dutrieux, Antonio Ferraz, Sassan Saatchi, Hamid Hamraz, Jonathan Williams, David Coomes, Alexandre Piboule, Grégoire Vincent
2019 Remote Sensing  
Segmentation methods based on the point cloud (AMS3D and Graph-Cut) globally outperformed methods based on the Canopy Height Models, especially for small crowns; the AMS3D method outperformed the other  ...  Nevertheless, other methods based on the Canopy Height Model performed better for very large emergent crowns.  ...  Our results confirm that the methods based on the 3D point clouds are effective to find and segment crowns in dense tropical forests, especially the mean shift algorithm [3, 29] .  ... 
doi:10.3390/rs11091086 fatcat:r75c5krpyjb4bife2kmorg777a

Individual Tree Crown Segmentation in Two-Layered Dense Mixed Forests from UAV LiDAR Data

Chiara Torresan, Federico Carotenuto, Ugo Chiavetta, Franco Miglietta, Alessandro Zaldei, Beniamino Gioli
2020 Drones  
A raster-based local maxima region growing algorithm (itcLiDAR) and a point cloud-based algorithm (li2012) were applied to isolate individual tree crowns, compute height and crown area, estimate the diameter  ...  This study investigates the potential of laser scanner data collected with a low-cost unmanned aerial vehicle laser scanner (UAV-LS), for individual tree crown (ITC) delineation to derive forest biometric  ...  watershed and continuously adaptive mean shift) to determine the most suitable method for individual tree detection across a species-diverse forest.  ... 
doi:10.3390/drones4020010 doaj:61999b7495e24d2c9e3faff504146ce9 fatcat:t452ueqetvgrnkxefbr7qvdzbm

Correlating the Horizontal and Vertical Distribution of LiDAR Point Clouds with Components of Biomass in a Picea crassifolia Forest

Wang Li, Zheng Niu, Shuai Gao, Ni Huang, Hanyue Chen
2014 Forests  
AGB for subplot is highly correlated with the mean height metric (H mean ), canopy cover index (CCI) and the product of them.  ...  Light detection and ranging (LiDAR) has been widely used to estimate forest biomass.  ...  We thank all of the people working on the projects, especially for their efforts in the WATER experiment.  ... 
doi:10.3390/f5081910 fatcat:3by7ffk2avfebi7wozoaw2ubru

Effects of local neighbourhood diversity on crown structure and productivity of individual trees in mature mixed-species forests

Louis Georgi, Matthias Kunz, Andreas Fichtner, Karl Friedrich Reich, Anne Bienert, Hans-Gerd Maas, Goddert von Oheimb
2021 Forest Ecosystems  
To address this issue we analysed these effects on the individual-tree crown architecture and tree productivity in a mature mixed forest in northern Germany.  ...  We evaluated two different neighbour inclusion approaches by analysing both a fixed radius selection procedure and a selection based on overlapping crowns.  ...  The QSM calculations were made on the Taurus HPC cluster of the ZIH of the TU Dresden. Moreover, we would like to thank the anonymous reviewers for their comments and suggestions on the manuscript.  ... 
doi:10.1186/s40663-021-00306-y fatcat:ah3yxczm6vctlfdvm4grpnfd3q

AUTOMATED INDIVIDUAL TREE DETECTION IN AMAZON TROPICAL FOREST FROM AIRBORNE LASER SCANNING DATA

PEDRO HENRIQUE KARANTINO MILLIKAN, CARLOS ALBERTO SILVA, Luiz Carlos Estraviz Rodriguez, Tupiara Mergen de Oliveira, Mariana Peres de Lima Chaves e Carvalho, Samuel de Pádua Chaves e Carvalho
2019 Cerne  
ABSTRACT Light Detection and Ranging (LiDAR) derived individual tree crown attributes can potentially serve as a tool for ecology and forest dynamics studies and reduce field inventory costs.  ...  Current canopy height model-based methods are ineffective to tropical forests, due to its complexity, which present a challenge for ITD algorithms.  ...  Thanks to Maiza Nara dos Santos for making the data available and helping with suggestions on the best dataset suitable for this study.  ... 
doi:10.1590/01047760201925032630 fatcat:vvz3ygnawnflxbn7rlglrkqlmy

Structured Pointcloud Segmentation for Individual Mangrove Tree Modeling [chapter]

José L. Silván-Cárdenas, José A. Gallardo-Cruz, Laura M. Hernández-Huerta
2020 Lecture Notes in Computer Science  
In this article, we tested a structured pointcloud segmentation method for extracting individual mangrove trees.  ...  Structure parameters of individual trees were estimated from the segmented pointcloud and its 3d geometry was generated using revolution surfaces.  ...  This research was funded by "Fondo Institucional de Fomento Regional (FORDECyT)" grant number 273646 and JLS was funded by "Fondo Sectorial CONACyT-INEGI" grant number 268773.  ... 
doi:10.1007/978-3-030-49076-8_17 fatcat:vszfrpz5zvcs7ahvzqumgmwygy

Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion

Michael Alonzo, Hans-Erik Andersen, Douglas Morton, Bruce Cook
2018 Forests  
We used these data to model forest type at the individual crown scale as well as subplot-scale tree density (TD), basal area (BA), and aboveground biomass (AGB).  ...  Consistent with previous UAV-based studies, SfM point cloud data generated robust models of TD (r 2 = 0.91), BA (r 2 = 0.79), and AGB (r 2 = 0.92), using a mix of plot-and crown-scale information.  ...  We estimated tree density (TD), basal area (BA) and aboveground, dry-weight biomass (AGB) for each subplot. TD was modeled based on the number of crown segments with heights over 5 m.  ... 
doi:10.3390/f9030119 fatcat:a2s2bupsrjah5gzp4rc747q7vi

Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest

Nina Amiri, Peter Krzystek, Marco Heurich, Andrew Skidmore
2019 Remote Sensing  
While individual tree-based approaches using single wavelength airborne laserscanning (ALS) can successfully distinguish broadleaf and coniferous trees, they still perform multiple tree species classifications  ...  Knowledge about forest structures, particularly of deadwood, is fundamental for understanding, protecting, and conserving forest biodiversity.  ...  Acknowledgments: We would like to thank Johannes Riegl from RIEGL company for providing us the excellent ALS data and the equation to convert amplitude values to reflectance values.  ... 
doi:10.3390/rs11222614 fatcat:a5etfqsrxrgkplxt6oec5kpoba
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