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A Multispectral Canopy LiDAR Demonstrator Project

Iain H. Woodhouse, Caroline Nichol, Peter Sinclair, Jim Jack, Felix Morsdorf, Tim J. Malthus, Genevieve Patenaude
2011 IEEE Geoscience and Remote Sensing Letters  
The first demonstration of a multispectral light detection and ranging (LiDAR) optimized for detailed structure and physiology measurements in forest ecosystems is described.  ...  A model-based analysis demonstrates that the LiDAR waveforms cannot only capture the tree height information but also picks up the seasonal and vertical variation of NDVI inside the tree canopy.  ...  BACKGROUND AND NEED FOR MEASUREMENTS The value of a multispectral canopy LiDAR (MSCL) is that it combines the advantages of multispectral reflectance with the vertical profile capabilities of LiDAR.  ... 
doi:10.1109/lgrs.2011.2113312 fatcat:n6lnea2j3nfv7pt4lysuch2z4u

Estimating 3D Chlorophyll Content Distribution of Trees Using an Image Fusion Method Between 2D Camera and 3D Portable Scanning Lidar

Fumiki Hosoi, Sho Umeyama, Kuo Kuanting
2019 Remote Sensing  
In this method, a 2D multispectral camera with five bands (475–840 nm) and a 3D high-resolution portable scanning lidar were applied to three sets of sample trees.  ...  After producing vegetation index (VI) images from multispectral images, 3D point cloud lidar data were projected onto the 2D plane based on perspective projection, keeping the depth information of each  ...  As an example of this demonstration, derivation of 3D distribution of chlorophyll contents was attempted with a multispectral camera and portable scanning lidar.  ... 
doi:10.3390/rs11182134 fatcat:nmwxmv6rpbcyjnm2lqj3rjkowa

A Versatile, Production-Oriented Approach to High-Resolution Tree-Canopy Mapping in Urban and Suburban Landscapes Using GEOBIA and Data Fusion

Jarlath O'Neil-Dunne, Sean MacFaden, Anna Royar
2014 Remote Sensing  
This paper describes a GEOBIA approach to tree-canopy mapping that relies on existing public investments in LiDAR, multispectral imagery, and thematic GIS layers, thus eliminating or reducing data acquisition  ...  This versatile approach accommodates datasets of varying content and quality, first using LiDAR derivatives to identify aboveground features and then a combination of LiDAR and imagery to differentiate  ...  multispectral data.  ... 
doi:10.3390/rs61212837 fatcat:c6gsqkylhbenpaxoir7nbmtdh4

Slides from the 1st ARDC Bushfire Data Commons Forum, 7 April 2022

Adrian Burton, Stefanie Kethers, Marta Yebra, Siddeswara Guru, Abolfazl Abdollahi, Deb Sparkes, James Hilton, Norman Mueller, Madeleine Kelly, Sheida Hadavi
2022 Zenodo  
This presentation consists of a combined slide deck from the 1st ARDC Bushfire Data Commons Forum, 7 April 2022.  ...  Acknowledgements The Project Partners are DAWE, ANU, CSIRO and AFAC through BDC fuel projects TERN project team: Ali Curtis, Alison Specht and Nina Zazali  ...  Our work is a result of collaborative partnerships with many Universities and institutions. To find out more please go to tern.org.au.  ... 
doi:10.5281/zenodo.6825102 fatcat:44oghve4n5frlnlugdvjk45n6u

MAPPING URBAN TREE CANOPY COVER USING FUSED AIRBORNE LIDAR AND SATELLITE IMAGERY DATA

Ebadat G. Parmehr, Marco Amati, Clive S. Fraser
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper proposes a reliable method for the extraction of tree canopy cover from fused LiDAR point cloud and multispectral satellite imagery data.  ...  Finally, the LiDAR points classified as tree points are utilised to generate a canopy cover map.  ...  ACKNOWLEDGEMENTS This research is funded by Australian Research Council Discovery Project "Seeing the good from the trees: remotely sensing the urban forest", DP 150103135.  ... 
doi:10.5194/isprs-annals-iii-7-181-2016 fatcat:ztnxy4hgknf5hdwqtmqt4yxwqe

MAPPING URBAN TREE CANOPY COVER USING FUSED AIRBORNE LIDAR AND SATELLITE IMAGERY DATA

Ebadat G. Parmehr, Marco Amati, Clive S. Fraser
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper proposes a reliable method for the extraction of tree canopy cover from fused LiDAR point cloud and multispectral satellite imagery data.  ...  Finally, the LiDAR points classified as tree points are utilised to generate a canopy cover map.  ...  ACKNOWLEDGEMENTS This research is funded by Australian Research Council Discovery Project "Seeing the good from the trees: remotely sensing the urban forest", DP 150103135.  ... 
doi:10.5194/isprsannals-iii-7-181-2016 fatcat:x3dajzx5hvembllkwqvdswq6pq

Woody vegetation landscape feature generation from multispectral and LiDAR data (A CRCSI 2.07 woody attribution paper)

Lola Suarez, Simon Jones, Andrew Haywood, Phillip Wilkes, William Woodgate, Mariela Soto-Berelov, Andrew Mellor
2013 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS  
The first efforts have focus on field data techniques and canopy structure characterization using LiDAR data.  ...  Results demonstrate canopy profile can be accurately estimated using Weibull probability density functions at 30x30m pixel size.  ...  Figure 1 1 . a) A canopy height profile and Weibull probability density function for a 30 x 30 m LiDAR plot captured over a single canopy forest system. b) Comparison of foliage fractional cover measured  ... 
doi:10.1109/igarss.2013.6721142 dblp:conf/igarss/SuarezJHWWSM13 fatcat:5gwrmrp4hvfehlli3ghnh6jrdu

Mapping surface fuel models using lidar and multispectral data fusion for fire behavior

M MUTLU, S POPESCU, C STRIPLING, T SPENCER
2008 Remote Sensing of Environment  
We employ a unique approach to classify fuel models using a combination of lidar height bins and multispectral image data.  ...  This study demonstrates the importance of using accurate maps of fuel models derived using new lidar remote sensing techniques.  ...  Data Three types of data were used in this project: lidar data, insitu data, and multispectral QuickBird data.  ... 
doi:10.1016/j.rse.2007.05.005 fatcat:45osquyozfdnfoxzunqqxsufhi

Estimación de la cobertura de la copa de los árboles mediante datos de detección remota para grandes áreas geográficas: descripción general, datos disponibles y propuesta

Nicola Colaninno, Ahmed H. Eldesoky, Eugenio Morello
2019 International Conference Virtual City and Territory  
In this study we propose a cost-effective but reliable approach for the automatic classification and quantification of the tree canopy cover over extended geographical areas.  ...  Climate change and global warming requires a strong boost to sustainable growth strategies.  ...  the Curio Canopy project (ESA, n.d.) .  ... 
doi:10.5821/ctv.8650 fatcat:db6omjlgifapbmwmghs7e43bwu

Estimating Canopy Density Parameters Time-Series for Winter Wheat Using UAS Mounted LiDAR

Jordan Steven Bates, Carsten Montzka, Marius Schmidt, François Jonard
2021 Remote Sensing  
The LiDAR method proved to have a high to moderate correlation in spatial variation to the multispectral method.  ...  This study contributes to a better understanding of the potential of LiDAR as a tool to estimate canopy structure in precision farming.  ...  This shows that a combination of passive optical and LiDAR can yield improved characterization of canopy structure, as demonstrated in previous studies [42] [43] [44] [45] .  ... 
doi:10.3390/rs13040710 fatcat:rwehrun75bfsbhjkjvy5xvnjr4

LiDAR Utility for Natural Resource Managers

Andrew Thomas Hudak, Jeffrey Scott Evans, Alistair Matthew Stuart Smith
2009 Remote Sensing  
This review provides a cross-section of studies, many recent, that demonstrate the relevance of LiDAR across a suite of terrestrial natural resource disciplines including forestry, fire and fuels, ecology  ...  Applications of LiDAR remote sensing are exploding, while moving from the research to the operational realm.  ...  Acknowledgements Partial support for this research came from the Sustainable Forestry component of Agenda 2020, a joint effort of USDA Forest Service Research and Development and the American Forest and  ... 
doi:10.3390/rs1040934 fatcat:wb3topr5qfenfo53xomgemw23y

Technical Note: Multispectral lidar time series of pine canopy chlorophyll content

T. Hakala, O. Nevalainen, S. Kaasalainen, R. Mäkipää
2015 Biogeosciences  
The results show the capability of the new instrument for monitoring the changes in the shape and physiology of tree canopy: the spectral indices retrieved from the multispectral point cloud agree with  ...  </strong> We present an empirical application of multispectral laser scanning for monitoring the seasonal and spatial changes in pine chlorophyll (<i>a</i> + <i>b</i>) content and upscaling the accurate  ...  Edited by: A. MacArthur  ... 
doi:10.5194/bg-12-1629-2015 fatcat:q7al6eeu6nfqro6bu7knqajf74

Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR

Niva Verma, David Lamb, Nick Reid, Brian Wilson
2016 Remote Sensing  
Therefore, given the need for easier and convenient means of tree parameters estimation, this study filled a gap and successfully used 2D multispectral WorldView-2 data for 3D canopy volume estimation  ...  than crown projected area (RMSE 42%).  ...  [46, 47] demonstrated that it was possible to delineate tree canopies and infer projected crown area from multispectral, remotely sensed imagery.  ... 
doi:10.3390/rs8050388 fatcat:pb6gnrmi4bd77mhv6eux2hr73y

Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park

Ebadat Ghanbari Parmehr, Marco Amati
2021 Remote Sensing  
While point clouds derived from both photogrammetric and LiDAR sensors can allow the accurate estimation of critical tree canopy parameters, so far a comparison of both techniques is missing.  ...  Estimation of urban tree canopy parameters plays a crucial role in urban forest management. Unmanned aerial vehicles (UAV) have been widely used for many applications particularly forestry mapping.  ...  The tree canopy is projected to the floor to calculate the maximum diameter and area of the canopy (Figure 10 ).  ... 
doi:10.3390/rs13112062 fatcat:wg3ui4hxo5etjb4irpxnmmhsve

Design and Evaluation of Multispectral LiDAR for the Recovery of Arboreal Parameters

Andrew M. Wallace, Aongus McCarthy, Caroline J. Nichol, Ximing Ren, Simone Morak, Daniel Martinez-Ramirez, Iain H. Woodhouse, Gerald S. Buller
2014 IEEE Transactions on Geoscience and Remote Sensing  
In this paper, we describe the design and evaluation of a prototype multispectral LiDAR system and demonstrate the measurement of leaf and bark area and abundance profiles using a series of experiments  ...  Multispectral light detection and ranging (LiDAR) has the potential to recover structural and physiological data from arboreal samples and, by extension, from forest canopies when deployed on aerial or  ...  INTRODUCTION A ERIAL or space-based measurements using a multispectral canopy light detection and ranging (LiDAR) (MSCL) could provide improved estimates of carbon sequestration and existing forest stocks  ... 
doi:10.1109/tgrs.2013.2285942 fatcat:ho4qn6u4fvgbxpzgwh5qdiqczq
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