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Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey

Lei Wang, Andrew G. Birt, Charles W. Lafon, David M. Cairns, Robert N. Coulson, Maria D. Tchakerian, Weimin Xi, Sorin C. Popescu, James M. Guldin
2011 Geoinformatica  
In this paper we describe a novel method for delineating and deriving metrics of individual trees from LiDAR data based on watershed segmentation.  ...  In order to extract useful forestry relevant information, this data must be interpreted using mathematical models and computer algorithms that infer or estimate specific forest metrics.  ...  airborne small-footprint LIDAR survey.  ... 
doi:10.1007/s10707-011-0148-1 fatcat:enad7nj76zbnlktnakgmtoiqpu

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  
With the availability of increasingly higher point density, individual tree delineation (ITD) from airborne lidar point clouds has become a popular yet challenging topic, due to the complexity and diversity  ...  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.  ...  Acknowledgments: The authors acknowledge Martin Robertson, Elias F. Berra and Maria V. Peppa (Newcastle University) for their help during the fieldwork in Aberfoyle.  ... 
doi:10.3390/rs11111263 fatcat:psml7nvklnd6bm6u5py5t2ocf4

Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data

Zhen Zhen, Lindi Quackenbush, Lianjun Zhang
2016 Remote Sensing  
This paper reviews trends in ITCD research from 1990-2015 from several perspectives-data/forest type, method applied, accuracy assessment and research objective-with a focus on studies using LiDAR data  ...  Additionally, ITCD research has moved from incremental adaptations of algorithms developed for passive data sources to innovative approaches that take advantage of the novel characteristics of active datasets  ...  Acknowledgments: We thank project "Three dimensional individual tree crown delineation based on multiple remotely sensed data sources and tree competition mechanism (31400491)" supported by National Natural  ... 
doi:10.3390/rs8040333 fatcat:3leqzeyxsvcgxlrjilq5oi4lfm

Improved visibility calculations with tree trunk obstruction modeling from aerial LiDAR

Jayson J. Murgoitio, Rupesh Shrestha, Nancy F. Glenn, Lucas P. Spaete
2013 International Journal of Geographical Information Science  
Trunk obstructions, derived from mean vegetation height LiDAR data and processed through a series of tree structure algorithms, were factored into visibility calculations and compared to reference data  ...  Vegetation data, a difficult variable to effectively emulate in computer models, is typically omitted from visibility calculations or unrealistically simulated.  ...  LiDAR data for this project were generously shared by the University of Idaho, supported by the NSF Idaho EPSCoR Program. We thank Mr. Tim Leedy for providing field assistance, and Drs.  ... 
doi:10.1080/13658816.2013.767460 fatcat:zuqr4ltyv5a7jbbvf4p2wikdj4

Leveraging airborne LiDAR data and gradient boosting for mapping the density of different sized trees

Yuri Shendryk, Emma Gorrod
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This article explored the feasibility of mapping the density of trees with different DBHs using airborne LiDAR data.  ...  Our results indicate that the total tree density (DBH > 0 cm; height > 1.37 m) can be mapped using airborne LiDAR data with the coefficient of determination R 2 of up to 0.67, with gradient boosting outperforming  ...  Curtis (both of DPIE) for supervising the collection of field data.  ... 
doi:10.1109/jstars.2020.3046303 fatcat:piqxmnandff5pji6l36xxu24w4

Measuring change at Earth's surface: On-demand vertical and three- dimensional topographic differencing implemented in OpenTopography

Chelsea Scott, Minh Phan, Viswanath Nandigam, Christopher Crosby, J Ramon Arrowsmith
2021 Geosphere  
We provide processing options derived from metadata that allow users to produce optimal high-quality results, while experienced users can fine tune the parameters to suit their needs.  ...  To optimize on-demand differencing, we considered algorithm choice and displacement resolution.  ...  Arrowsmith acknowledge grants 1948997, 1948994, and 1948857 from the U.S. National Science Foundation.  ... 
doi:10.1130/ges02259.1 fatcat:li62rmucdfa2dffwxi35rqbjoi

Interpretation of Forest Resources at the Individual Tree Level in Japanese Conifer Plantations Using Airborne LiDAR Data

Songqiu Deng, Masato Katoh
2016 Remote Sensing  
In the tree crown classifications delineated by the green band and DCHM data, the improvements in the overall accuracy compared to the RGB ranged from 5.7% for the RGBS to 9.0% for the RGBIS and from 8.3%  ...  The template-matching algorithms match a synthetic image model or Remote Sens. 2016, 8, 188 3 of 23 template of a tree crown to radiometric values [11, 47, 48] .  ...  Acknowledgments: This study was supported by a Grant-in-Aid for Scientific Research from the Japan Society for  ... 
doi:10.3390/rs8030188 fatcat:u6tuxsin2zffhfsp566qjm2ize

Application of high-resolution airborne data using individual tree crowns in Japanese conifer plantations

Masato Katoh, François A. Gougeon, Donald G. Leckie
2009 Journal of Forest Research  
The error between our ITC estimates and the field-survey data ranged from 0.3 to 30.2%, depending on tree crown size, density, and other factors.  ...  We investigated conifer plantation management in Japan using high-resolution airborne data based on an individual tree crown (ITC) approach.  ...  We also thank the members of the forest measurements and planning laboratory, Shinshu University, for allowing us to conduct the field investigation.  ... 
doi:10.1007/s10310-008-0102-8 fatcat:4qsuagprnvedjem7z4vzn4uaia

Remote Sensing in Urban Forestry: Recent Applications and Future Directions

Xun Li, Wendy Y. Chen, Giovanni Sanesi, Raffaele Lafortezza
2019 Remote Sensing  
Combined optical imagery and LiDAR data results as the most promising among multi-source inputs; in addition, future efforts should focus on enhancing data processing efficiency.  ...  This study summarises recent remote sensing applications in urban forestry from the perspective of three distinctive themes: multi-source, multi-temporal and multi-scale inputs.  ...  Acknowledgments: The authors also wish to acknowledge Yole DeBellis for contributing to the review of this work and for editing the language of the manuscript.  ... 
doi:10.3390/rs11101144 fatcat:7kf7tknxmfbp7ouwya4mzu7q7u

Using Remotely Sensed Imagery for Forest Resource Assessment and Inventory [chapter]

Rodolfo Martinez
2012 Forest Ecosystems - More than Just Trees  
Scaling PAR absorption from the leaf to landscape level in spatially heterogeneous ecosystems. Ecological Modelling, 103 (1): 81-97.  ...  the enormous support of my advisors Dr.  ...  Their comparison between spectral and object-based methods demonstrated superior performance of object-based classification algorithms in delineating tree canopy cover in a highly heterogeneous dry forest  ... 
doi:10.5772/30140 fatcat:osr5vciniffmbhaq7u2aphi36u

Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-Line Corridors

Steven J. Mills, Marcos P. Gerardo Castro, Zhengrong Li, Jinhai Cai, Ross Hayward, Luis Mejias, Rodney A. Walker
2010 IEEE Transactions on Geoscience and Remote Sensing  
Image data, including multi-spectral and high resolution, are analyzed along with LiDAR data captured from fixed wing aircraft.  ...  Through testing it was shown to achieve a detection rate of 96%, while the accuracy in segmenting groups of trees and single trees correctly was shown to be 75%.  ...  ACKNOWLEDGMENTS The authors would like to thank Isaac Stiller from the Queensland Governments Department of Natural Resources and Water for his support and assistance in conducting the ground survey.  ... 
doi:10.1109/tgrs.2010.2046905 fatcat:tqicmd5sqvef7hcndef753zymm

Intelligent data fusion for wide-area assessment of UXO contamination

Kevin J. Johnson, Christian P. Minor, Verner N. Guthrie, Susan L. Rose-Pehrsson
2008 Stochastic environmental research and risk assessment (Print)  
and maintaining the data needed, and completing and reviewing this collection of information.  ...  PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.  ...  The authors thank the SERDP staff and team members for their assistance, particularly Dr. Herb Nelson and Dr. Dan Steinhurst.  ... 
doi:10.1007/s00477-007-0204-4 fatcat:hbh5yqn74rfulikwwrsryxzwym

Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer

Mustafa Mezaal, Biswajeet Pradhan, Hossein Rizeei
2018 Remote Sensing  
Subsequently, a correlation-based feature selection (CFS) algorithm was employed to select the relevant features.  ...  Given its ability to penetrate vegetation cover, high-resolution airborne light detection and ranging (LiDAR) is typically employed to generate accurate landslide maps.  ...  Acknowledgments: The authors would like to thank three anonymous reviewers and Editorial comments by Filippo Catani for their critical review, which helped us to improve the quality of the manuscript.  ... 
doi:10.3390/rs10071029 fatcat:qchmfx4k65bt5inbazr3qj3br4

Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options

Gaia Vaglio Laurin, Nicola Puletti, Clara Tattoni, Carlotta Ferrara, Francesco Pirotti
2021 Remote Sensing  
In this investigation, three different estimates of timber loss were compared in two study sites in the Alpine area: pre-existing local growing stock volume maps based on lidar data, a recent national-level  ...  Considering the frequent impacts on forest resources that occurred in the last years in the European Union, remote sensing-based surveys targeting forests is urgent, particularly for the many European  ...  Lidar data showed to be useful as well, not only to delineate the damaged areas but also to provide an evaluation of the volume of fallen trees [11, 12] .  ... 
doi:10.3390/rs13234924 fatcat:j6ixjdrqobghbmzjhtvjzbhx4a

Bare Earth DEM Generation for Large Floodplains Using Image Classification in High-Resolution Single-Pass InSAR

Drew Faherty, Guy J.-P. Schumann, Delwyn K. Moller
2020 Frontiers in Earth Science  
Using LiDAR terrain data and GPS ground control points from the National Geodetic Survey (NGS, Figure 5), we demonstrate suitability to a wide range of applications, particularly flood mapping, by achieving  ...  The classification scheme performed particularly well at identifying tall structures for near and mid-range look angles, however, delineation of trees from buildings presented a challenge (Figure 4).  ... 
doi:10.3389/feart.2020.00027 fatcat:fvxphp7yindh5mm3nwnthsrswy
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