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Mark Dansona, Rachel Gaultonb, Richard Armitagea, Mathias Disneyc, Philip Lewisc, Guy Pearsone, Alberto Ramireza (2014)
Developing a dual-wavelength full-waveform terrestrial laser scanner to characterize forest canopy structureAgricultural and Forest Meteorology, 198199
D. Kelbe, Paul Romanczyk, J. Aardt, K. Cawse‐Nicholson (2013)
Reconstruction of 3D tree stem models from low-cost terrestrial laser scanner data, 8731
R. Lucas, A. Mitchell, J. Armston (2015)
Measurement of Forest Above-Ground Biomass Using Active and Passive Remote Sensing at Large (Subnational to Global) ScalesCurrent Forestry Reports, 1
A. Strahler, D. Jupp, C. Woodcock, C. Schaaf, T. Yao, F. Zhao, Xiaoyuan Yang, J. Lovell, D. Culvenor, G. Newnham, Wenge Ni-Miester, William Boykin-Morris (2008)
Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna®)Canadian Journal of Remote Sensing, 34
M. Kamal, S. Phinn, K. Johansen (2015)
Object-Based Approach for Multi-Scale Mangrove Composition Mapping Using Multi-Resolution Image DatasetsRemote. Sens., 7
P. Raumonen, E. Casella, K. Calders, S. Murphy, Markku Åkerblom, M. Kaasalainen (2015)
Massive-Scale Tree Modelling from Tls DataISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Ewan Douglas, J. Martel, Zhan Li, Glenn Howe, K. Hewawasam, R. Marshall, C. Schaaf, T. Cook, G. Newnham, A. Strahler, S. Chakrabarti (2015)
Finding Leaves in the Forest: The Dual-Wavelength Echidna LidarIEEE Geoscience and Remote Sensing Letters, 12
R. Perroy, B. Bookhagen, G. Asner, O. Chadwick (2010)
Comparison of gully erosion estimates using airborne and ground-based LiDAR on Santa Cruz Island, CaliforniaGeomorphology, 118
V. Hilser, B. E., T. Oas, G. Kapp, S. Whitten (2006)
A statistical thermodynamic model of the protein ensemble.Chemical reviews, 106 5
A. Krooks, S. Kaasalainen, V. Kankare, M. Joensuu, P. Raumonen, M. Kaasalainen (2014)
Tree structure vs. height from terrestrial laser scanning and quantitative structure modelsSilva Fennica, 48
M. Wulder, Joanne White, R. Nelson, E. Næsset, H. Ørka, N. Coops, T. Hilker, C. Bater, T. Gobakken (2012)
Lidar sampling for large-area forest characterization: A reviewRemote Sensing of Environment, 121
V. Sy, M. Herold, F. Achard, G. Asner, A. Held, J. Kellndorfer, J. Verbesselt (2012)
Multiple remote sensing data sources for REDD+ monitoring
N. Pfeifer (2007)
GEOMETRICAL ASPECTS OF AIRBORNE LASER SCANNING AND TERRESTRIAL LASER SCANNING
D. Jupp, D. Culvenor, J. Lovell, G. Newnham, A. Strahler, C. Woodcock (2008)
Estimating forest LAI profiles and structural parameters using a ground-based laser called 'Echidna'.Tree physiology, 29 2
S. Kaasalainen, A. Krooks, J. Liski, P. Raumonen, H. Kaartinen, M. Kaasalainen, E. Puttonen, K. Anttila, R. Mäkipää (2014)
Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure ModellingRemote. Sens., 6
B. Cook, P. Bolstad, E. Næsset, Ryan Anderson, S. Garrigues, J. Morisette, J. Nickeson, K. Davis (2009)
Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizationsRemote Sensing of Environment, 113
D. Zande, W. Hoet, I. Jonckheere, J. Aardt, P. Coppin (2006)
Influence of measurement set-up of ground-based LiDAR for derivation of tree structureAgricultural and Forest Meteorology, 141
R. Cottam, W. Ranson (2017)
Seeing the Wood
E. Feliciano, S. Wdowinski, M. Potts (2014)
Assessing Mangrove Above-Ground Biomass and Structure using Terrestrial Laser Scanning: A Case Study in the Everglades National ParkWetlands, 34
P. Raumonen, M. Kaasalainen, Markku Åkerblom, S. Kaasalainen, H. Kaartinen, M. Vastaranta, M. Holopainen, M. Disney, Philip Lewis (2013)
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner DataRemote. Sens., 5
A. Krooks, S. Kaasalainen, V. Kankare, M. Joensuu, P. Raumonen, M. Kaasalainen (2014)
Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure modelsSilva Fennica, 48
George, C., Hurtt, R. Dubayah, J. Drake, Paul, R., Moorcroft, Stephen, W., Pacala, J., Bryan Blair, Matthew, G., Fearon (2004)
Beyond potential vegetation: Combining lidar data and a height-structured model for carbon studiesEcological Applications, 14
F. Zhao, A. Strahler, C. Schaaf, T. Yao, Xiaoyuan Yang, Zhuosen Wang, M. Schull, M. Roman, C. Woodcock, P. Olofsson, W. Ni-Meister, D. Jupp, J. Lovell, D. Culvenor, G. Newnham (2012)
Measuring Gap Fraction, Element Clumping Index and LAI in Sierra Forest Stands Using a Full-Waveform Ground-Based LidarRemote Sensing of Environment, 125
M. Lefsky, W. Cohen, G. Parker, D. Harding (2002)
Lidar Remote Sensing for Ecosystem Studies, 52
I. Woodhouse, C. Nichol, P. Sinclair, J. Jack, F. Morsdorf, T. Malthus, G. Patenaude (2011)
A Multispectral Canopy LiDAR Demonstrator ProjectIEEE Geoscience and Remote Sensing Letters, 8
D. Kelbe, J. Aardt, Paul Romanczyk, M. Leeuwen, K. Cawse‐Nicholson (2015)
Single-Scan Stem Reconstruction Using Low-Resolution Terrestrial Laser Scanner DataIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8
Jean-François Côté, R. Fournier, R. Egli (2011)
An architectural model of trees to estimate forest structural attributes using terrestrial LiDAREnviron. Model. Softw., 26
Glenn Howe, K. Hewawasam, Ewan Douglas, J. Martel, Zhan Li, A. Strahler, C. Schaaf, T. Cook, S. Chakrabarti (2015)
Capabilities and performance of dual-wavelength Echidna® lidarJournal of Applied Remote Sensing, 9
Zhan Li, D. Jupp, A. Strahler, C. Schaaf, Glenn Howe, K. Hewawasam, Ewan Douglas, S. Chakrabarti, T. Cook, Ian Paynter, E. Saenz, M. Schaefer (2016)
Radiometric Calibration of a Dual-Wavelength, Full-Waveform Terrestrial LidarSensors (Basel, Switzerland), 16
Jean-François Côté, J. Widlowski, R. Fournier, M. Verstraete (2009)
The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidarRemote Sensing of Environment, 113
J. Knight, P. Dale, J. Spencer, L. Griffin (2009)
Exploring LiDAR data for mapping the micro-topography and tidal hydro-dynamics of mangrove systems: an example from southeast Queensland, Australia.Estuarine Coastal and Shelf Science, 85
K. Calders, G. Newnham, A. Burt, S. Murphy, P. Raumonen, M. Herold, D. Culvenor, V. Avitabile, M. Disney, J. Armston, M. Kaasalainen (2015)
Nondestructive estimates of above‐ground biomass using terrestrial laser scanningMethods in Ecology and Evolution, 6
D. Clark, D. Clark (2000)
Landscape-scale variation in forest structure and biomass in a tropical rain forestForest Ecology and Management, 137
S. Phinn (1998)
A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and managementInternational Journal of Remote Sensing, 19
R. Rincon, T. Fatoyinbo, G. Sun, K. Ranson, Martin Perrine, M. Deshpande, Q. Bonds (2011)
The EcoSAR P-band Synthetic Aperture Radar2011 IEEE International Geoscience and Remote Sensing Symposium
Idrees Oludare, B. Pradhan (2016)
A decade of modern cave surveying with terrestrial laser scanning: A review of sensors, method and application developmentInternational Journal of Speleology, 45
Ewan Douglas, A. Strahler, J. Martel, T. Cook, Christopher Mendillo, R. Marshall, S. Chakrabarti, C. Schaaf, C. Woodcock, Zhan Li, Xiaoyuan Yang, D. Culvenor, D. Jupp, G. Newnham, J. Lovell (2012)
DWEL: A Dual-Wavelength Echidna Lidar for ground-based forest scanning2012 IEEE International Geoscience and Remote Sensing Symposium
D. Hoffmeister, Stefan Zellmann, A. Pastoors, M. Kehl, P. Cantalejo, J. Ramos, Gerd-Christian Weniger, G. Bareth (2016)
The Investigation of the Ardales Cave, Spain – 3D Documentation, Topographic Analyses, and Lighting Simulations based on Terrestrial Laser ScanningArchaeological Prospection, 23
S. Hancock, R. Essery, T. Reid, J. Carle, R. Baxter, N. Rutter, B. Huntley (2014)
Characterising forest gap fraction with terrestrial lidar and photography: An examination of relative limitationsAgricultural and Forest Meteorology, 189
Hao Tang, M. Brolly, F. Zhao, A. Strahler, C. Schaaf, S. Ganguly, Gong Zhang, R. Dubayah (2014)
Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: a case study in Sierra National Forest, CARemote Sensing of Environment, 143
M. Béland, D. Baldocchi, J. Widlowski, R. Fournier, M. Verstraete (2014)
On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDARAgricultural and Forest Meteorology, 184
S. Kaasalainen, A. Krooks, A. Kukko, H. Kaartinen, A. Fi, A. Fi, H. Fi
Remote Sensing Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets
M. Dassot, T. Constant, M. Fournier (2011)
The use of terrestrial LiDAR technology in forest science: application fields, benefits and challengesAnnals of Forest Science, 68
F. Hosoi, K. Omasa (2007)
Factors contributing to accuracy in the estimation of the woody canopy leaf area density profile using 3D portable lidar imaging.Journal of experimental botany, 58 12
J. Lovell, D. Jupp, D. Culvenor, N. Coops (2003)
Using airborne and ground-based ranging lidar to measure canopy structure in Australian forestsCanadian Journal of Remote Sensing, 29
R. Dubayah, J. Drake (2000)
Lidar remote sensing for forestry.Journal of Forestry, 98
V. Sy, M. Herold, F. Achard, G. P. Asner, A. Held, J. Kellndorfer (2012)
Synergies of multiple remote sensing data sources for REDD+ monitoring, 4
M. Bosse, R. Zlot, Paul Flick (2012)
Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile MappingIEEE Transactions on Robotics, 28
V. Avitabile, M. Herold, G. Heuvelink, S. Lewis, O. Phillips, G. Asner, J. Armston, P. Ashton, L. Banin, N. Bayol, N. Berry, P. Boeckx, B. Jong, B. DeVries, C. Girardin, E. Kearsley, J. Lindsell, G. Lopez-Gonzalez, R. Lucas, Y. Malhi, A. Morel, E. Mitchard, L. Nagy, L. Qie, M. Quinones, C. Ryan, Slik Ferry, T. Sunderland, G. Laurin, R. Gatti, R. Valentini, H. Verbeeck, A. Wijaya, S. Willcock (2016)
An integrated pan‐tropical biomass map using multiple reference datasetsGlobal Change Biology, 22
S. Zolkos, S. Goetz, R. Dubayah (2013)
A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensingRemote Sensing of Environment, 128
Remote Sensing in Ecology and Conservation – Wiley
Published: Dec 1, 2016
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