Publications

Recent  Publications of TLSIIG Authors


Published February, 2018

Interface Focus Theme Issue: The Terrestrial Laser Scanning Revolution in Forest Ecology

  • Organized by Mark Danson, Mathias Disney, Rachel Gaulton, and Crystal Schaaf.
  • Volume 8, Issue 2.

Introduction

Danson, F., Disney, M., Gaulton, R., Schaaf, C., and Strahler, A. (2018). The terrestrial laser scanning revolution in forest ecology. Interface Focus, vol. 8, no. 2.  DOI: 10.1098/rsfs.2018.0001.

Research and Review Articles

Åkerblom, A., Raumonen, P., Casella, E., Disney, M., Danson, M., Gaulton, R., Schofield, L., and Kaasalainen, M. (2018). Non-intersecting leaf insertion algorithm for tree structure models. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0045.

Danson, M., Sasse, F., and Schofield, L. (2018). Spectral and spatial information from a novel dual-wavelength full-waveform terrestrial laser scanner for forest ecology. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0049.

Disney, M., Boni Vicari, M., Burt, A., Calders, K., Lewis, S., Raumonen, P., and Wilkes, P. (2018). Weighing trees with lasers: Advances, challenges and opportunities. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0048.

Elsherif, A., Gaulton, R., and Mills, J. (2018). Estimation of vegetation water content at leaf and canopy level using dual-wavelength commercial terrestrial laser scanners. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0041.

Kaasalainen, S., Åkerblom, M., Nevalainen, O., Hakala, T., and Kaasalainen, M. (2018). Uncertainty in multispectral lidar signals caused by incidence angle effects. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0033.

Li, Z., Schaefer, M., Strahler, A., Schaaf, C., and Jupp, D. (2018). On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0039.

Malhi, Y., Jackson, T., Bentley, L., Lau, A., Shenkin, A., Herold, M., Calders, K., Bartholomeus, H., and Disney, M. (2018). New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0052.

Morsdorf, F., Kükenbrink, D., Schneider, F., Abegg, M., and Schaepman, M. (2018). Close-range laser scanning in forests: Towards physically based semantics across scales. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0046.

Orwig, D., Boucher, P., Paynter, I., Saenz, E., Li, Z., and Schaaf, C. (2018). The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0044.

Paynter, I., Genest, D., Peri, F., and Schaaf, C. (2018). Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems. Interface Focus, vol. 8, no. 2. DOI: 10.1098/rsfs.2017.0043.

Roşca, S., Suomalainen, J., Bartholomeus, H., and Herold, M. (2018). Comparing terrestrial laser scanning and unmanned aerial vehicle structure from motion to assess top of canopy structure in tropical forests. Interface Focus, vol. 8, no. 2.  DOI: 10.1098/rsfs.2017.0038.


2018 (to Mar 31)

Bao, Y., Ni, Wl, Wang, D., Yue, C., He, H., and Verbeeck, H. (2018). Effects of tree trunks on estimation of clumping index and LAI from HemiView and terrestrial lidar. Forests, vol. 9, no. 3., p. 144.  DOI:10.3390/f9030144.

Calders, K., Origo, N., Disney, M., Nightingale, J., Woodgate, W., Armston, J., and Lewis, P. (2018). Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index. Agricultural and Forest Meteorology, vol. 252, pp.231-240. DOI: 10.1016/j.agrformet.2018.01.029.

De Tanago, J., Lau, A., Bartholomeus, H., Herold, M., Avitabile, V., Raumonen, P., Martius, C., Goodman, R., Disney, M., Manuri, S., et al. (2018). Estimation of above-ground biomass of large tropical trees with terrestrial lidar. Methods in Ecology and Evolution, vol. 9, no. 2, pp. 223-234. https://doi.org/10.1111/2041-210X.12904.

Paynter, I., Genest, D., Saenz, E., Peri, F., Boucher, P., Li, Z., Strahler, A., and Schaaf, C. (2018), Classifying ecosystems with metaproperties from terrestrial laser scanner data. Methods in Ecology and Evolution, vol. 9, no. 2, pp. 210-222. DOI: 10.1111/2041-210X.12854.

Stovall, A. E. L., and Shugart, H. H. (2018). Improved biomass calibration and validation with terrestrial lidar: Implications for future lidar and SAR missions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 pp. DOI: 10.1109/JSTARS.2018.2803110.

2017

Abegg, M., D. Kükenbrink, D., Zell, J., Schaepman, M. E., and Morsdorf, F. (2017), Terrestrial Laser scanning for forest inventories—Tree diameter distribution and scanner location impact on occlusion. Forests, vol. 8, no. 6, p. 184. DOI:10.3390/f8060184.

Åkerblom, M., Raumonen, P., Mäkipää, R., and Kaasalainen, M. (2017), Automatic tree species recognition with quantitative structure models. Remote Sensing of Environment, vol .191, pp. 1-12. DOI: 10.1016/j.rse.2016.12.002.

Brede, B., Lau, A., Bartholomeus, H., and Kooistra, L. (2017), Comparing Riegl RiCOPTER UAV lidar derived canopy height and DBH with terrestrial lidar. Sensors, vol. 17, no. 10, p. 2371. DOI:10.3390/s17102371.

Calders, K., Disney, M., Armston, J., Burt, A., Brede, B., Origo, N., Muir, J., and Nightingale, J. (2017), Evaluation of the range accuracy and the radiometric calibration of multiple terrestrial laser scanning instruments for data interoperability. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 5, pp. 2716-2724. DOI:10.1109/TGRS.2017.2652721.

Cooper, S. D., Roy, D. P., Schaaf, C. B., and Paynter, I. (2017). Examination of the potential of terrestrial laser scanning and structure-from-motion photogrammetry for rapid nondestructive field measurement of grass biomass. I, vol. 9, p. 531, 13 pp. DOI: 10.3390/rs9060531.

Goodwin, N., Armston, J., Muir, J., and Stiller, I. (2017), Monitoring gully change: A comparison of airborne and terrestrial laser scanning using a case study from Aratula, Queensland. Geomorphology, vol. 282, pp. 195-208. DOI: 10.1016/j.geomorph.2017.01.001.

Greaves, H., Vierling, L., Eitel, J., Boelman, N., Magney, T., Prager, C., and Griffin, K. (2017), Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra. Remote Sensing Letters, vol. 8, no., 2, pp. 175-184. DOI: 10.1080/2150704X.2016.1246770.

Hancock, S., Anderson, K., Disney, M., and Gaston, K. (2017), Measurement of fine-spatial-resolution 3D vegetation structure with airborne waveform lidar: Calibration and validation with voxelised terrestrial lidar. Remote Sensing of Environment, vol. 188, pp. 37-50. DOI: 10.1016/j.rse.2016.10.041.

Hancock, S., Gaulton, R., and Danson, F. M. (2017), Angular reflectance of leaves with a dual-wavelength terrestrial lidar and its implications for leaf-bark separation and leaf moisture estimation. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 6., pp. 3084-3090. DOI: 10.1109/TGRS.2017.2652140.

Kelbe, D., van Aardt, J., Romanczyk, P., van Leeuwen, M., and Cawse-Nicholson, K. (2017), Multiview marker-free registration of forest terrestrial laser scanner data with embedded confidence metrics. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 2, pp. 729 – 741. DOI: 10.1109/TGRS.2016.2614251

Kunz, M., Hess, C., Raumonen, P., Bienert, A., Hackenberg, J., Maas, H-G., Härdtle, W., Fichtner, A., and von Ohemb, G. (2017), Comparison of wood volume estimates of young trees from terrestrial laser scan data. iForest Biogeosciences and Forestry, vol .10, pp. 451-458 2017. DOI: 10.3832/ifor2093-010.

Lau, A., Disney, M., Calders, K., Burt, A., Gonzalez de Tanago, J., Bartholomeus, H., Brede, B., and Herold, M. (2017). Data acquisition considerations for terrestrial laser scanning of forest plots. Remote Sensing of Environment, vol. 196, pp. 140-153. DOI: 10.1016/j.rse.2017.04.030.

Ma, L., Zheng, G., Eitel, J., Magney, T., and Moskal, M. (2017) , Retrieving forest canopy extinction coefficient from terrestrial and airborne lidar. Agricultural and Forest Meteorology, vol. 236, pp. 1-21. DOI: 10.1016/j.agrformet.2017.01.004

Paris, C., Kelbe, D., van Aardt, J., and Bruzzone, L. (2017), A novel automatic method for the fusion of ALS and TLS lidar data for robust assessment of tree crown structure. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 3679-3693. DOI: 10.1109/TGRS.2017.2675963.

Wilkes, P., Lau, A., Disney, M., Calders, K., Burt, A., Gonzalez de Tanago, J., Bartholomeus, H., Brede, B., and Herold, M. (2017). Data acquisition considerations for terrestrial laser scanning of forest plots. Remote Sensing of Environment, vol. 196, pp. 140-153. DOI: 10.1016/j.rse.2017.04.030

Woodgate, W., Armston, J., Disney, M., Suarez, L., Jones, S., Hill, M., Wilkes, P., and Soto-Berelova, M. (2017), Validating canopy clumping retrieval methods using hemispherical photography in a simulated Eucalypt forest. Agricultural and Forest Meteorology, vol. 247, pp. 181-193. DOI: 10.1016/j.agrformet.2017.07.027.

Xie, D., Wang, Y., Hu, R., Chen, Y., Yan, G., Zhang, W., and Wang, P. (2017), Modified gap fraction model of individual trees for estimating leaf area using terrestrial laser scanner. Journal of Applied Remote Sensing, vol. 11, no. 3. DOI:10.1117/1.JRS.11.03501.

2016

Eitel, J. U. H., Hofle, B., Vierling, L. A., Abellan, A., Asner, G. P., Deems, J. S., Glennie, C. L., Joerg, P. C., LeWinter, A. L., Magney, T. S., Mandlburger, G., Morton D. C., Muller, J., and Vierling, K. T. (2016). Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences. Remote Sensing of Environment 186: 372-392. http://dx.doi.org/10.1016/j.rse.2016.08.018

Kaasalainen, S., Nevalainen, O., Hakala, T., and Anttila, K (2016). Incidence angle dependency of leaf vegetation indices from hyperspectral lidar measurements.  Photogrammetric–Fernerkundung–Geoinformation, vol. 2016, no. 2, pp. 75-84.

Li, Z., Jupp, D. L. B., Strahler, A. H., Schaaf, C. B., Howe, G., Hewawasam, K., Douglas, E., Chakrabarti, S., Cook T. A., Paynter, I., Saenz, E. J., and Schaefer, M. (2016). Radiometric calibration of a dual-wavelength, full-waveform terrestrial lidar. Sensors, vol. 16, pp. 313-336. DOI: 10.3390/s16030313

Lin, Y., and Herold, M. (2016). Tree species classification based on explicit tree structure feature parameters derived from static terrestrial last scanning data. Agricultural and Forest Meteorology, vol. 216, pp. 105-114. DOI: dx.doi.org/10.1016/j.agrformet.2015.10.008

Paynter, I., Saenz, E., Genest, D., Peri, F., Erb, A., Li, Z., Wiggin, K., Muir, J., Raumonen, P., Schaaf, E. S., Strahler, A., and Schaaf C. (2016) Observing ecosystems with lightweight, rapid-scanning terrestrial lidar scanners. Remote Sensing in Ecology and Conservation, vol. 2, no. 4, pp. 174–189. DOI: 10.1002/rse2.26

Schaefer, M. T., and Lamb, D. W. (2016). A combination of plant NDVI and LiDAR measurements improve the estimation of pasture biomass in tall fescue (Festuca arundinacea var. Fletcher). Remote Sensing, vol. 8, pp. 109-118. DOI: 10.3390/rs8020109

Schofield, L. A., Danson, F. M., Entwistle, N. S., Gaulton, R., and Hancock, S. (2016). Radiometric calibration of a dual-wavelength terrestrial laser scanner using neural networks. Remote Sensing Letters. vol. 2. no. 4. pp. 299-308. DOI: 10.1080/2150704X.2015.1134843

2015

Douglas, E. S., Martel, J., Howe, G., Hewawasam, K., Marshall, R. A., Schaaf, C. L., Cook, T. A., Newnham, G. J., Strahler, A., and Chakrabarti, S. (2015). Finding leaves in the forest: The Dual-Wavelength Echidna Lidar. IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 4, pp. 776-780, DOI: 10.1109/LGRS.2014.2361812.

Hancock, S., Armston, J., Li, Z., Gaulton, R., Lewis, P., Disney, M., Danson, F. M., Strahler, A., Schaaf, C., Anderson, K., and Gaston, K. J. (2015). Waveform lidar over vegetation: An evaluation of inversion methods for estimating return energy. Remote Sensing of Environment. vol. 164. pp. 208-224. DOI: 10.1016/j.rse.2015.04.013.

Howe, G. A., Hewawasam, K., Douglas, E. S., Martel, J., Li, Z., Strahler, A. , Schaff, C., Cook, T. A., and Chakrabarti, S., 2015, Capabilities and performance of DWEL, the Dual-Wavelength Echidna® lidar, Journal of Applied Remote Sensing, vol. 9., no. 1, 13 pp. DOI: 10.1117/1.JRS.9.095979

Newnham, G. J., Armston, J. D., Calders, K., Disney, M. I., Lovell, J. L., Schaaf, C. B., Strahler, A. H., and Danson, F. M.. (2015). Terrestrial Laser Scanning for plot-scale forest management. Curr Forestry Rep. vol. 1. no. 4. pp. 239-251. DOI: 10.1007/s40725-015-0025-5.

Puttonen, E., Hakala, T., Nevalainen, O., Kaasalainen, S., Krooks, A., Karjalainen, M., Anttila, K. (2015). Artificial target detection with a hyperspectral LiDAR over 26-h measurement. Opt. Eng. vol. 54. no. 1. DOI: 10.1117/1.OE.54.1.013105.

Raumonen, P., Casella, E., Calders, K., Murphy, S., Akerblom, M., and Kaasalainen, M. (2015). Massive-scale tree modelling from TLS data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. vol. 2. pp. 189-196. DOI: 10.5194/isprsannals-II-3-W4-189-2015.

Woodgate, W., Disney, M., Armston, J. D., Jones, S. D., Suarez, L., Hill, M. J., Wilkes, P., Soto-Berelov, M., Haywood, A., and Mellor, A. (2015). An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems. Forest Ecology and Management, vol. 358, pp. 303-320. DOI: 10.1016/j.foreco.2015.09.030.

Woodgate, W., Jones, S. D., Suarez, L., Hill, M. J., Armston, J. D., Wilkes, P., Soto-Berelov, M., Haywood, A., and Mellor, A. (2015). Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems. Agricultural and Forest Meteorology. vol. 205. pp. 83-95. DOI: 10.1016/j.agrformet.2015.02.012.

2014

Calders, K., Armston, J., Newham, G., Herold, M., and Goodwin, N. (2014). Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR. Agricultural and Forest Meteorology vol. 194, 104-117, http://dx.doi.org/10.1016/j.agrformet.2014.03.022.

Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., Culvenor, D., Avitabile, V., Disney, M., Armston, J., and Kaasalainen, M. (2014). Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution. vol. 6. no. 2. pp. 198-208. DOI: 10.1111/2041-210X.12301.

Danson, F. M., Gaulton, R., Armitage, R. P., Disney, M., Gunawan, O., Lewis, P., Pearson, G., Ramirez, F. A. (2014). Developing a dual-wavelength full-waveform terrestrial laser scanner to characterize forest canopy structure. Agricultural and Forest Meteorology. vol. 198-199. pp. 7-14. DOI: 10.1016/j.agrformet.2014.07.007.

Hackenberg, J., Morhart, C., Sheppard, J., Spiecker, H., and Disney,
M. I. (2014) Highly accurate tree models derived from terrestrial
laser scan data – a method description, Forests (OPEN ACCESS), Special
Issue: LiDAR and Other Remote Sensing Applications in Mapping and
Monitoring of Forests Structure and Biomass), vol. 5, 1069-1105;
http://www.mdpi.com/1999-4907/5/5/1069.

Hancock, S., Essery, R., Reid, T., Carle, J., Baxter, R., Rutter, N., and Huntley, B. (2014). Characterizing forest gap fraction with terrestrial lidar and photography: An examination of relative limitations. Agricultural and Forest Meteorology vol. 189-190, 105-114.

Hofman, J., Bartholomeus, H., Calders, K., Van Wittenberghe, S., Wuyts, K., and Samson, R. (2014). On the relation between tree crown morphology and particulate matter deposition on urban tree leaves: A ground-based LiDAR approach. Atmospheric Environment. vol. 99. pp. 130-139. DOI: 10.1016/j.atmosenv.2014.09.031.

Kaasalainen, S., Krooks, A., Liski, J., Raumonen, P., Kaartinen, H., Kaasalainen, M., Puttonen, E., Anttila, K., and Mäkipää, R. (2014). Change detection of tree biomass with terrestrial laser scanning and quantitative structure modelling. Remote Sensing vol. 6(5), 3906-3922. http://dx.doi.org/10.3390/rs6053906.

Krooks, A., Kaasalainen, S., Kankare, V., Joensuu, M., Raumonen, P., and Kaasalainen, M. (2014). Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models. Silva Fennica vol. 48(2), 1125. http://dx.doi.org/10.14214/sf.1125.

Smith, A., Astrup, R., Raumonen, P., Liski, J., Krooks, A., Kaasalainen, S., Akerblom, M., and Kaasalainen, M. (2014). Tree root system characterization and volume estimation by terrestrial laser scanning and quantitative structure modeling. Forests, vol. 5, pp. 3274–3294; doi:10.3390/f5123274.

2013

Armston, J., Disney, M., Lewis, P., Scarth, P., Phinn, S., Bunting, P., Lucas, R., and Goodwin, N. (2013). Direct retrieval of canopy gap probability using airborne waveform lidar. Remote Sensing of Environment. vol. 134, 24-38. http://dx.doi.org/10.1016/j.rse.2013.02.021.

Brolly, G. (2013). Locating and Parameter Retrieval of Individual Trees from
Terrestrial Laser Scanner Data. PhD thesis, University of West Hungary, Faculty of Forestry,
Sopron (Hungary), 104 pp. http://doktori.nyme.hu/402/.

Brolly, G.,  Király, G., and Czimber, K. (2013). Mapping forest regeneration from terrestrial laser scan. Acta Sylvatica et Lignaria Hungarica, vol. 9, 135-146. http://aslh.nyme.hu/fileadmin/dokumentumok/fmk/acta_silvatica/cikkek/Vol09-2013/11_brolly_et_al_p.pdf

Calders, K., Newnham, G., Herold, M., Murphy, S., Culvenor, D., Raumonen, P., Burt, A., Armston, J., Avitabile, V., and Disney M. (2013). Estimating above ground biomass from terrestrial laser scanning in Australian eucalypt open forest. Proceedings SilviLaser 2013, October 9-11, 2013, Beijing, China, Paper Number SL2013-021, 7 pp.

Gaulton, R., Danson, F. M., Ramirez, F. A., and Gunawan, O. (2013). The potential of dual-wavelength laser scanning for estimating vegetation moisture content. Remote Sensing of Environment vol. 132, 32-39.

Ramirez, F. A., Armitage, R. P., and Danson, F. M. (2013). Testing the application of laser scanning to measure forest canopy gap fraction. Remote Sensing vol. 5, 3037-3056.

Raumonen, P, Kaasalainen, M, Åkerblom, M, Kaasalainen, S, Kaartinen,
H, Vastaranta, M, Holopainen, M, Disney, M. I. and Lewis, P (2013)
Comprehensive Quantitative Tree Models From Terrestrial Laser Scanner
Data, Remote Sensing, 5(2), 491-520; doi:10.3390/rs5020491

Yang, X. Y.,  Strahler, A. H.,  Schaaf, C. B.,  Jupp, D. L. B., Yao, T.,  Zhao, F.,  Wang, Z. S.,  Culvenor, D. S.,  Newnham, G. J.,  Lovell, J. L.,  Dubayah, R.,  Woodcock, C. E., and Ni-Meister, W. (2013). Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®). Remote Sensing of Environment vol. 135,  36-51.

Zhao, F., Yang, X. Y., Strahler, A. H., Schaaf, C. L., Yao, T., Wang, Z. S., Roman, M. O., Woodcock, C. E., Ni-Meister, W., Jupp, D. L. B., Lovell, J. L., Culvenor, D. S., Newnham, G. J., Tang, H., and Dubayah, R. (2013). A comparison of foliage profiles in the Sierra National Forest obtained with a full-waveform under-canopy EVI lidar system with the foliage profiles obtained with an airborne full-waveform LVIS lidar system. Remote Sensing of Environment vol. 136, 330-341.

2012

Moskal, L. M., and Zhang, G. (2012). Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest. Remote Sensing vol. 4, 1-20.

Zhao, F., Strahler, A. H., Schaaf, C. L., Yao, T., Yang, X. Y., Wang, Z. S., Schull, M. A., Roman, M. O., Woodcock, C. E., Olofsson, P., Ni-Meister, W., Jupp, D. L. B., Lovell, J. L., Culvenor, D. S., and Newnham, G. J. (2012). Measuring gap fraction, element clumping index and LAI in Sierra Forest stands using a full-waveform ground-based lidar. Remote Sensing of Environment vol. 125, 73-79.

2011

Beland, M., Widlowski, J.-L., Fournier, R. A., Coté, J.-F., and Verstraete, M. M. (2011). Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements. Agricultural and Forest Meteorology vol. 151, 1252-1266.

 Lovell, J. L., Jupp, D. L. B., Newnham, G. J., and Culvenor, D. S. (2011). Measuring tree stem diameters using intensity point profiles from ground-based scanning lidar from a fixed viewpoint. ISPRS Journal of Photogrammetry and Remote Sensing vol. 66, 46-55.

Yao, T., Yang, X. Y., Zhao, F., Wang, Z. S., Zhang, Q. L., Jupp, D., Lovell, J., Culvenor, D., Newnham, G., Ni-Meister, W., Schaaf, C., Woodcock, C., Wang, J. D., Li, X. W., and Strahler, A. (2011). Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar. Remote Sensing of Environment vol. 115, 2965-2974.

Zhao, F., Yang, X. Y., Schull, M. A., Roman-Colon, M. O., Yao, T., Wang, Z. S., Zhang, Q. L., Jupp, D. L. B., Lovell, J. L., Culvenor, D. S., Newnham, G. J., Richardson, A. D., Ni-Meister, W., Schaaf, C. L., Woodcock, C. E., and Strahler, A. H. (2011). Measuring effective leaf area index, foliage profile, and stand height in New England forest stands using a full-waveform ground-based lidar. Remote Sensing of Environment vol. 115, 2954-2964.

2010

2009

G. Brolly, G. Király (2009). Algorithms for stem mapping by means of terrestrial laser scanning. Acta Sylvatica et Lignaria Hungarica, vol. 5, 119-130. http://aslh.nyme.hu/fileadmin/dokumentumok/fmk/acta_silvatica/cikkek/Vol05-2009/09_brolly_kiraly_p.pdf