Terrestrial laser scanning in forest ecology: Expanding the horizon

Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor and algorithm development have allowed us to assess in situ 3D forest structure explicitly and revolutionised the way we monitor and quantify...

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Vydáno v:Remote sensing of environment Ročník 251; číslo 112102; s. 112102
Hlavní autoři: Calders, Kim, Adams, Jennifer, Armston, John, Bartholomeus, Harm, Bauwens, Sebastien, Bentley, Lisa Patrick, Chave, Jerome, Danson, F. Mark, Demol, Miro, Disney, Mathias, Gaulton, Rachel, Krishna Moorthy, Sruthi M., Levick, Shaun R., Saarinen, Ninni, Schaaf, Crystal, Stovall, Atticus, Terryn, Louise, Wilkes, Phil, Verbeeck, Hans
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Inc 15.12.2020
Elsevier BV
Elsevier
Témata:
ISSN:0034-4257, 1879-0704, 1879-0704
On-line přístup:Získat plný text
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Abstract Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor and algorithm development have allowed us to assess in situ 3D forest structure explicitly and revolutionised the way we monitor and quantify ecosystem structure and function. Here, we provide an interdisciplinary focus to explore current developments in TLS to measure and monitor forest structure. We argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form. Furthermore, these new developments enable new applications such as radiative transfer modelling with realistic virtual forests, monitoring of urban forests and larger scale ecosystem monitoring through long-range scanning. Finally, we discuss upscaling of TLS data through data fusion with unmanned aerial vehicles, airborne and spaceborne data, as well as the essential role of TLS in validation of spaceborne missions that monitor ecosystem structure. •Terrestrial laser scanning (TLS) provides explicit in situ 3D forest structure.•We provide a review on current developments in TLS to monitor forest structure.•TLS data opens a realm of untapped ecological questions.
AbstractList Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor and algorithm development have allowed us to assess in situ 3D forest structure explicitly and revolutionised the way we monitor and quantify ecosystem structure and function. Here, we provide an interdisciplinary focus to explore current developments in TLS to measure and monitor forest structure. We argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form. Furthermore, these new developments enable new applications such as radiative transfer modelling with realistic virtual forests, monitoring of urban forests and larger scale ecosystem monitoring through long-range scanning. Finally, we discuss upscaling of TLS data through data fusion with unmanned aerial vehicles, airborne and spaceborne data, as well as the essential role of TLS in validation of spaceborne missions that monitor ecosystem structure.
Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor and algorithm development have allowed us to assess in situ 3D forest structure explicitly and revolutionised the way we monitor and quantify ecosystem structure and function. Here, we provide an interdisciplinary focus to explore current developments in TLS to measure and monitor forest structure. We argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form. Furthermore, these new developments enable new applications such as radiative transfer modelling with realistic virtual forests, monitoring of urban forests and larger scale ecosystem monitoring through long-range scanning. Finally, we discuss upscaling of TLS data through data fusion with unmanned aerial vehicles, airborne and spaceborne data, as well as the essential role of TLS in validation of spaceborne missions that monitor ecosystem structure. •Terrestrial laser scanning (TLS) provides explicit in situ 3D forest structure.•We provide a review on current developments in TLS to monitor forest structure.•TLS data opens a realm of untapped ecological questions.
ArticleNumber 112102
Author Terryn, Louise
Verbeeck, Hans
Bentley, Lisa Patrick
Disney, Mathias
Demol, Miro
Wilkes, Phil
Armston, John
Adams, Jennifer
Chave, Jerome
Bauwens, Sebastien
Danson, F. Mark
Gaulton, Rachel
Calders, Kim
Saarinen, Ninni
Schaaf, Crystal
Bartholomeus, Harm
Stovall, Atticus
Krishna Moorthy, Sruthi M.
Levick, Shaun R.
Author_xml – sequence: 1
  givenname: Kim
  surname: Calders
  fullname: Calders, Kim
  email: kim.calders@ugent.be
  organization: CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Belgium
– sequence: 2
  givenname: Jennifer
  surname: Adams
  fullname: Adams, Jennifer
  organization: European Space Agency, ESA-ESRIN, 00044 Frascati, Italy
– sequence: 3
  givenname: John
  surname: Armston
  fullname: Armston, John
  organization: Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
– sequence: 4
  givenname: Harm
  surname: Bartholomeus
  fullname: Bartholomeus, Harm
  organization: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708, PB, Wageningen, the Netherlands
– sequence: 5
  givenname: Sebastien
  surname: Bauwens
  fullname: Bauwens, Sebastien
  organization: Forest is Life, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
– sequence: 6
  givenname: Lisa Patrick
  surname: Bentley
  fullname: Bentley, Lisa Patrick
  organization: Department of Biology, Sonoma State University, 1801 E. Cotati Ave., Rohnert Park, CA 94928, USA
– sequence: 7
  givenname: Jerome
  surname: Chave
  fullname: Chave, Jerome
  organization: Laboratoire Evolution et Diversité Biologique UMR 5174 CNRS, IRD, Université Paul Sabatier, 31062 Toulouse, France
– sequence: 8
  givenname: F. Mark
  surname: Danson
  fullname: Danson, F. Mark
  organization: School of Science, Engineering and Environment, University of Salford, Salford M5 4WT, UK
– sequence: 9
  givenname: Miro
  surname: Demol
  fullname: Demol, Miro
  organization: CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Belgium
– sequence: 10
  givenname: Mathias
  surname: Disney
  fullname: Disney, Mathias
  organization: UCL Department of Geography, Gower Street, London WC1E 6BT, UK
– sequence: 11
  givenname: Rachel
  surname: Gaulton
  fullname: Gaulton, Rachel
  organization: School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
– sequence: 12
  givenname: Sruthi M.
  surname: Krishna Moorthy
  fullname: Krishna Moorthy, Sruthi M.
  organization: CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Belgium
– sequence: 13
  givenname: Shaun R.
  surname: Levick
  fullname: Levick, Shaun R.
  organization: CSIRO, PMB 44, Winnellie, 0822, NT, Australia
– sequence: 14
  givenname: Ninni
  surname: Saarinen
  fullname: Saarinen, Ninni
  organization: Department of Forest Sciences, University of Helsinki, P.O. Box 27, 00014 Helsinki, Finland
– sequence: 15
  givenname: Crystal
  surname: Schaaf
  fullname: Schaaf, Crystal
  organization: School for the Environment, University of Massachusetts Boston, Boston, MA, USA
– sequence: 16
  givenname: Atticus
  surname: Stovall
  fullname: Stovall, Atticus
  organization: NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD, United States
– sequence: 17
  givenname: Louise
  surname: Terryn
  fullname: Terryn, Louise
  organization: CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Belgium
– sequence: 18
  givenname: Phil
  surname: Wilkes
  fullname: Wilkes, Phil
  organization: UCL Department of Geography, Gower Street, London WC1E 6BT, UK
– sequence: 19
  givenname: Hans
  surname: Verbeeck
  fullname: Verbeeck, Hans
  organization: CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Belgium
BackLink https://hal.science/hal-03005987$$DView record in HAL
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Cites_doi 10.1016/j.agrformet.2010.10.005
10.1016/j.ufug.2019.126441
10.1007/978-3-642-81190-6_4
10.1111/2041-210X.12933
10.1007/s00468-017-1581-z
10.3832/ifor2138-009
10.1016/j.foreco.2017.03.036
10.1007/s11119-019-09676-4
10.1007/s10342-014-0844-0
10.1111/j.1469-8137.1959.tb05340.x
10.1109/TGRS.2015.2417316
10.1016/j.foreco.2013.08.014
10.1890/ES12-00196.1
10.5194/bg-13-1571-2016
10.1111/2041-210X.13342
10.1002/2017JG004256
10.1093/treephys/tpn022
10.1111/2041-210X.13144
10.1016/j.isprsjprs.2019.03.007
10.3389/ffgc.2019.00043
10.3390/rs5020491
10.1139/x07-212
10.3390/rs11121423
10.1016/j.rse.2015.08.016
10.1007/s10342-005-0070-x
10.1109/TGRS.2016.2539219
10.1016/j.isprsjprs.2020.08.009
10.1098/rsfs.2017.0045
10.1111/2041-210X.12157
10.1111/ele.12771
10.1016/j.agrformet.2018.10.021
10.1016/j.agrformet.2015.01.009
10.1007/s00468-014-1134-7
10.1117/1.JRS.10.046025
10.1016/j.foreco.2019.117751
10.1007/s10712-019-09528-w
10.1007/s13595-011-0067-1
10.1098/rsif.2019.0116
10.1016/j.envsoft.2017.07.007
10.3832/ifor1566-008
10.1038/s41598-020-58733-w
10.1364/OE.20.007119
10.5194/tc-10-1279-2016
10.1111/nph.15517
10.1016/j.rse.2019.111474
10.1007/s10712-019-09532-0
10.1016/j.agrformet.2019.01.033
10.1016/j.foreco.2004.07.028
10.1098/rsfs.2017.0049
10.1016/j.isprsjprs.2010.08.002
10.1111/2041-210X.12904
10.1126/science.276.5309.122
10.3390/rs11192311
10.1371/journal.pone.0156934
10.1016/j.agrformet.2011.05.004
10.3390/rs8110942
10.3389/fpls.2019.00486
10.1016/j.atmosenv.2014.09.031
10.1016/j.foreco.2017.09.043
10.1016/j.agrformet.2018.09.016
10.1109/TGRS.2011.2161613
10.1002/rse2.26
10.1016/j.agrformet.2011.10.006
10.1007/s11355-019-00383-w
10.1371/journal.pone.0176871
10.3390/s16030313
10.1080/01431160701736406
10.1016/S0924-2716(99)00011-8
10.1016/j.srs.2020.100002
10.1371/journal.pone.0142146
10.1109/TGRS.2014.2315649
10.1002/ecs2.2514
10.1007/s00442-005-0100-x
10.1016/j.isprsjprs.2015.10.001
10.1073/pnas.1012194108
10.1016/j.rse.2013.01.001
10.1016/j.foreco.2019.02.019
10.3390/rs10060933
10.14214/sf.38
10.1016/j.rse.2013.11.016
10.1139/x03-225
10.1016/j.rse.2014.06.015
10.1007/s00468-013-0854-4
10.1111/nph.12487
10.1111/gcb.12629
10.1186/s40663-019-0173-3
10.1111/j.0021-8901.2004.00925.x
10.1109/JSTARS.2018.2803110
10.1111/ele.12127
10.1016/j.rse.2020.111932
10.3390/s140814994
10.1016/j.isprsjprs.2019.01.005
10.1890/13-0070.1
10.1016/j.rse.2017.01.032
10.1073/pnas.0812294106
10.1038/nature06061
10.1016/j.tree.2019.10.004
10.1016/j.foreco.2019.117484
10.1071/WF07138
10.1186/s13021-018-0098-0
10.1016/j.foreco.2018.06.004
10.1016/j.isprsjprs.2020.04.020
10.3390/rs6053906
10.3390/s19071684
10.3390/rs8080679
10.3189/2015JoG14J226
10.1073/pnas.0812303106
10.3390/rs11050509
10.1080/22797254.2018.1474722
10.3390/rs1040934
10.1109/TGRS.2017.2652721
10.1007/s10712-019-09529-9
10.1016/j.foreco.2018.04.054
10.1016/j.patrec.2013.08.004
10.1016/j.agrformet.2013.09.005
10.1109/LGRS.2014.2361812
10.1109/TGRS.2014.2308208
10.1016/j.rse.2019.111264
10.1016/j.ufug.2020.126653
10.3390/ijgi9050309
10.1016/j.foreco.2015.12.024
10.1016/j.isprsjprs.2007.10.004
10.1016/j.foreco.2015.03.019
10.1016/j.tree.2020.03.006
10.3390/rs12101647
10.1016/j.agrformet.2014.03.022
10.1016/j.isprsjprs.2020.01.018
10.3390/rs9111154
10.1016/j.agrformet.2003.08.027
10.3390/rs70201877
10.3390/f10100848
10.3390/s18103357
10.1016/j.scitotenv.2016.05.170
10.5194/isprs-annals-III-8-117-2016
10.1111/2041-210X.13121
10.3389/ffgc.2019.00032
10.3389/fevo.2019.00266
10.1080/2150704X.2012.734931
10.1002/ece3.4193
10.1016/j.isprsjprs.2012.10.003
10.1360/SSI-2019-0096
10.1016/j.rse.2010.04.025
10.3390/rs11030344
10.1080/2150704X.2015.1134843
10.1016/j.foreco.2014.01.038
10.1016/j.rse.2017.04.030
10.1007/s00468-019-01922-6
10.1186/s13021-020-00143-6
10.1007/s00468-018-1704-1
10.1016/j.rse.2014.11.014
10.1098/rsfs.2017.0039
10.1016/j.agrformet.2018.08.026
10.1016/j.foreco.2020.118344
10.1016/j.isprsjprs.2018.06.021
10.1046/j.1466-822X.2003.00026.x
10.1016/j.rse.2016.12.002
10.1098/rsfs.2017.0048
10.3389/ffgc.2020.00012
10.1016/j.rse.2017.08.013
10.1016/j.ufug.2016.09.013
10.1109/JSTARS.2018.2819598
10.3390/f9110704
10.1098/rsfs.2017.0052
10.1007/s40725-015-0025-5
10.1016/j.agrformet.2019.02.019
10.1016/j.isprsjprs.2016.01.006
10.1016/j.isprsjprs.2018.11.027
10.3390/f9070395
10.3390/f10070537
10.1016/j.isprsjprs.2019.05.011
10.1109/TGRS.2014.2320134
10.5589/m03-026
10.3390/rs10081215
10.3390/f10060527
10.1016/j.ecolind.2019.03.036
10.1111/nph.12453
10.3390/rs4061519
10.1111/gcbb.12091
10.3390/rs10040540
10.1515/intag-2017-0048
10.3390/f5051032
10.1016/j.envsoft.2013.09.034
10.1016/j.agrformet.2018.01.029
10.1016/j.foreco.2018.07.032
10.1109/MCI.2010.938364
10.1029/2018EA000506
10.1109/38.736469
10.1098/rsfs.2017.0043
10.1111/2041-210X.12301
10.1080/01431161.2017.1285083
10.1371/journal.pone.0154115
10.1080/02827581.2018.1545920
10.3390/f7060127
10.1016/j.agrformet.2014.01.012
10.1016/j.rse.2018.06.024
10.1016/j.rse.2009.01.017
10.1016/j.rse.2019.03.032
10.1016/j.rse.2016.10.041
10.1016/j.rse.2011.03.020
10.3390/f6114245
10.3390/rs10111735
10.3390/rs70404581
10.1007/s10712-019-09538-8
10.1111/2041-210X.13061
10.1016/j.agrformet.2019.107627
10.1109/TGRS.2006.881743
10.1016/j.agrformet.2014.07.007
10.1016/j.cag.2018.05.004
10.5589/m08-046
10.1016/j.foreco.2011.03.008
10.1016/j.isprsjprs.2016.11.012
10.1016/j.biombioe.2006.04.001
10.1016/j.rse.2019.111355
10.1016/j.rse.2018.07.023
10.1111/ele.13400
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Issue 112102
Keywords Ground-based LiDAR
Terrestrial laser scanning
Tree structure
Forest plot measurement
Remote sensing
Forest ecology
Language English
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References Kao, Gibson, Gallery, Meier, Barnett, Docherty, Blevins, Travers, Azuaje, Springer, Thibault, McKenzie, Keller, Alves, Hinckley, Parnell, Schimel (bb0565) 2012; 3
Côté, Widlowski, Fournier, Verstraete (bb0230) 2009; 113
Junttila, Holopainen, Vastaranta, Lyytikäinen-Saarenmaa, Kaartinen, Hyyppä, Hyyppä (bb0535) 2019; 231
Pimont, Allard, Soma, Dupuy (bb0840) 2018; 215
Shenkin, Chandler, Boyd, Jackson, Disney, Majalap, Nilus, Foody, Bin Jami, Reynolds, Wilkes, Cutler, van der Heijden, Burslem, Coomes, Bentley, Malhi (bb1000) 2019; 2
Juchheim, Ehbrecht, Schall, Ammer, Seidel (bb0530) 2020; 93
Lovell, Jupp, Culvenor, Coops (bb0700) 2003; 29
Gaulton, Danson, Ramirez, Gunawan (bb0355) 2013; 132
Ashcroft, Gollan, Ramp (bb0025) 2014; 5
Strahler, Jupp, Woodcock, Schaaf, Yao, Zhao, Yang, Lovell, Culvenor, Newnham, Ni-Miester, Boykin-Morris (bb1070) 2008; 34
Maas, Bienert, Scheller, Keane (bb0710) 2008; 29
Momo Takoudjou, Ploton, Sonké, Hackenberg, Griffon, de Coligny, Kamdem, Libalah, Mofack, Le Moguédec, Pélissier, Barbier (bb0760) 2018; 9
Chave, Réjou-Méchain, Búrquez, Chidumayo, Colgan, Delitti, Duque, Eid, Fearnside, Goodman, Henry, Martínez-Yrízar, Mugasha, Muller-Landau, Mencuccini, Nelson, Ngomanda, Nogueira, Ortiz-Malavassi, Pélissier, Ploton, Ryan, Saldarriaga, Vieilledent (bb0205) 2014; 20
Schaepman, Jehle, Hueni, D’Odorico, Damm, Weyermann, Schneider, Laurent, Popp, Seidel, Lenhard, Gege, Küchler, Brazile, Kohler, De Vos, Meuleman, Meynart, Schläpfer, Kneubühler, Itten (bb0960) 2015; 158
Yun, An, Li, Sun, Cao, Xue (bb1280) 2016; 8
Béland, Widlowski, Fournier (bb0085) 2014; 51
Wang, Brunner, Ma, Lu, Hollaus, Pang, Pfeifer (bb1160) 2018; 9
Atkins, Fahey, Hardiman, Gough (bb0040) 2018; 123
Puttonen, Lehtomäki, Litkey, Näsi, Feng, Liang, Wittke, Pandžić, Hakala, Karjalainen, Pfeifer (bb0855) 2019; 10
Cifuentes, Van der Zande, Salas-Eljatib, Farifteh, Coppin (bb0225) 2018; 18
Chave, Davies, Phillips, Lewis, Sist, Schepaschenko, Armston, Baker, Coomes, Disney, Duncanson, Hérault, Labrière, Meyer, Réjou-Méchain, Scipal, Saatchi (bb0210) 2019; 40
Sithole, Vosselman (bb1025) 2003
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Willim, Stiers, Annighöfer, Ammer, Ehbrecht, Kabal, Stillhard, Seidel (bb1230) 2019; 19
Zhu, Skidmore, Darvishzadeh, Olaf Niemann, Liu, Shi, Wang (bb1295) 2018; 64
Grau, Durrieu, Fournier, Gastellu-Etchegorry, Yin (bb0390) 2017; 191
Goodman, Phillips, Baker (bb0380) 2014; 24
Kaasalainen, Krooks, Liski, Raumonen, Kaartinen, Kaasalainen, Puttonen, Anttila, Mäkipää (bb0550) 2014; 6
Wieser, Mandlburger, Hollaus, Otepka, Glira, Pfeifer (bb1210) 2017; 9
Bauwens, Bartholomeus, Calders, Lejeune (bb0065) 2016; 7
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Pyörälä, Saarinen, Kankare, Coops, Liang, Wang, Holopainen, Hyyppä, Vastaranta (bb0870) 2019; 235
Krishna Moorthy, Bao, Calders, Schnitzer, Verbeeck (bb0585) 2019; 154
Jupp, Culvenor, Lovell, Newnham, Strahler, Woodcock (bb0545) 2009; 29
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Mäkinen, Isomäki (bb0725) 2004; 203
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Xi, Hopkinson, Chasmer (bb1250) 2018; 10
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Schneider, Leiterer, Morsdorf, Gastellu-Etchegorry, Lauret, Pfeifer, Schaepman (bb0965) 2014; 152
Burt, Calders, Cuni-Sanchez, Gómez-Dans, Lewis, Lewis, Malhi, Phillips, Disney (bb0150) 2020; 3
Hosoi, Omasa (bb0475) 2006; 44
Su, Maji, Kalogerakis, Learned-Miller (bb1075) 2015
Murray, Fennell, Blackburn, Whyatt, Li (bb0785) 2020; 21
Juodvalkis, Kairiukstis, Vasiliauskas (bb0540) 2005; 124
Boni Vicari, Disney, Wilkes, Burt, Calders, Woodgate (bb0115) 2019; 10
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Hancock, Armston, Hofton, Sun, Tang, Duncanson, Kellner, Dubayah (bb0435) 2019
Yang, Lee, Heo, Biging (bb1255) 2019; 15
Hakala, Suomalainen, Kaasalainen, Chen (bb0410) 2012; 20
Saarinen, Kankare, Yrttimaa, Viljanen, Honkavaara, Holopainen, Hyyppä, Huuskonen, Hynynen, Vastaranta (bb0945) 2020; 474
Beland, Parker, Sparrow, Harding, Chasmer, Phinn, Antonarakis, Strahler (bb0090) 2019; 450
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Hofman, Bartholomeus, Janssen, Calders, Wuyts, Van Wittenberghe, Samson (bb0465) 2016; 20
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Tian, Dai, Li, Liao, Teng, Hu, Ma, Xu (bb1090) 2019; 10
Widlowski, Côté, Béland (bb1200) 2014; 142
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Valbuena, O’Connor, Zellweger, Simonson, Vihervaara, Maltamo, Silva, Almeida, Danks, Morsdorf, Chirici, Lucas, Coomes, Coops (bb1115) 2020
Wallace, Lucieer, Watson, Turner (bb1135) 2012; 4
Liu, Skidmore, Wang, Zhu, Premier, Heurich, Beudert, Jones (bb0690) 2019; 148
Zhu, Wang, Darvishzadeh, Skidmore, Niemann (bb1290) 2015; 110
Blair, Hofton (bb0110) 1999; 2509–2512
Shu, Park, Kwon (bb1010) 2019
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Danson, Sasse, Schofield (bb0250) 2018; 8
Terryn, Calders, Disney, Origo, Malhi, Newnham, Raumonen, Akerblom, Verbeeck (bb1085) 2020; 168
Lau, Bentley, Martius, Shenkin, Bartholomeus, Raumonen, Malhi, Jackson, Herold (bb0615) 2018; 32
Goodfellow, Bengio, Courville (bb0375) 2016
Maguire, Eitel, Vierling, Johnson, Griffin, Boelman, Jensen, Greaves, Meddens (bb0720) 2019; 269-270
Bastin, Fayolle, Tarelkin, Van den Bulcke, de Haulleville, Mortier, Beeckman, Van Acker, Serckx, Bogaert, De Cannière (bb0060) 2015; 10
Momo Takoudjou, Ploton, Martin-Ducup, Lehnebach, Fortunel, Sagang, Boyemba, Couteron, Fayolle, Libalah, Loumeto, Medjibe, Ngomanda, Obiang, Pélissier, Rossi, Yongo, Sonké, Barbier (bb0765) 2020; 10
Calders, Phinn, Ferrari, Leon, Armston, Asner, Disney (bb0190) 2020
Moorthy, Miller, Berni, Zarco-Tejada, Hu, Chen (bb0770) 2011; 151
Paynter, Schaaf, Bowen, Deegan, Peri, Cook (bb0835) 2019; 11
Li, Schaefer, Strahler, Schaaf, Jupp (bb0645) 2018; 8
Srinivasan, Popescu, Eriksson, Sheridan, Ku (bb1040) 2014; 318
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Tanhuanpää, Yu, Luoma, Saarinen, Raisio, Hyyppä, Kumpula, Holopainen (bb1080) 2019; 44
Wilkes, Shenkin, Disney, Malhi, Boni Vicari (bb1225) 2019
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Belton, Moncrieff, Chapman (bb0095) 2013; II-5
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Wallace, Musk, Lucieer (bb1145) 2014; 52
Liang, Wang, Jaakkola, Kukko, Kaartinen, Hyyppä, Honkavaara, Liu (bb0660) 2015; 53
Wang (bb1155) 2020; 165
Kellner, Armston, Birrer, Cushman, Duncanson, Eck, Falleger, Imbach, Král, Krůček, Trochta, Vrška, Zgraggen (bb0580) 2019; 40
Wilson (bb1235) 1959; 58
Huo, Zhang, Zhang, Wu (bb0490) 2019; 103
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Smith, Sperry, Enquist, Savage, McCulloh, Bentley (bb1030) 2014; 201
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Brede, Calders, Lau, Raumonen, Bartholomeus, Herold, Kooistra (bb0135) 2019; 233
Danson, Gaulton, Armitage, Disney, Gunawan, Lewis, Pearson, Ramirez (bb0245) 2014; 198-199
Hancock, Essery, Reid, Carle, Baxter, Rutter, Huntley (bb0425) 2014; 189-190
Chen, Zhu, Yebra, Harris, Tapper (bb0220) 2017; 97
Enquist, Kerkhoff, Stark, Swenson, McCarthy, Price (bb0315) 2007; 449
Seidel, Ruzicka, Puettmann (bb0995) 2016; 363
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Douglas, Martel, Li, Howe, Hewawasam, Marshall, Schaaf, Cook, Newnham, Strahler, Chakrabarti (bb0285) 2015; 12
Gottfried, Hollaus, Glira, Wieser, Milenković, Riegl, Pfennigbauer (bb0385) 2015; 2015
Marselis, Tang, Armston, Calders, Labrière, Dubayah (bb0735) 2018; 216
Kunz, Fichtner, Härdtle, Raumonen, Bruelheide, von Oheimb (bb0605) 2019; 22
Wallace, Lucieer, Watson (bb1140) 2014; 52
Yrttimaa, Saarinen, Kankare, Liang, Hyyppä, Holopainen, Vastaranta (bb1260) 2019; 11
Karan, Liddell, Prober, Arndt, Beringer, Boer, Cleverly, Eamus, Grace, Van Gorsel, Hero, Hutley, Macfarlane, Metcalfe, Meyer, Pendall, Sebastian, Wardlaw (bb0570) 2016; 568
Chave, Andalo, Brown, Cairns, Chambers, Eamus, Fölster, Fromard, Higuchi, Kira, Lescure, Nelson, Ogawa, Puig, Riéra, Yamakura (bb0200) 2005; 145
Trochta, Krůček, Vrška, Král (bb1105) 2017; 12
Wilkes, Disney, Vicari, Calders, Burt (bb1220) 2018; 13
Paynter, Saenz, Genest, Peri, Erb, Li, Wiggin, Muir, Raumonen, Schaaf (bb0825) 2016; 2
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Vorster, Evangelista, Stovall, Ex (bb1130) 2020; 15
Krůček, Trochta, Cibulka, Král (bb0600) 2019; 264
Wang, Schraik, Hovi, Rautiainen (bb1170) 2020; 247
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Disney (bb0265) 2019; 222
Guo, Su, Hu, Zhao, Wu, Li, Liu, Chen, Xu, Lin, Zheng, Lin, Mi, Fei, Wang (bb0395) 2017; 38
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Lau (10.1016/j.rse.2020.112102_bb0625) 2019; 439
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Wu (10.1016/j.rse.2020.112102_bb1245) 2020; 89
Wang (10.1016/j.rse.2020.112102_bb1165) 2020; 11
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Cifuentes (10.1016/j.rse.2020.112102_bb0225) 2018; 18
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Wu (10.1016/j.rse.2020.112102_bb1240) 2020; 12
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Paris (10.1016/j.rse.2020.112102_bb0815) 2015
Krishna Moorthy (10.1016/j.rse.2020.112102_bb0585) 2019; 154
Yu (10.1016/j.rse.2020.112102_bb1275) 2013; 4
Åkerblom (10.1016/j.rse.2020.112102_bb0015) 2018; 8
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Li (10.1016/j.rse.2020.112102_bb0640) 2016; 16
Parker (10.1016/j.rse.2020.112102_bb0820) 2004; 41
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Qi (10.1016/j.rse.2020.112102_bb0875) 2017
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Atkins (10.1016/j.rse.2020.112102_bb0035) 2018; 9
Wang (10.1016/j.rse.2020.112102_bb1170) 2020; 247
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Zhou (10.1016/j.rse.2020.112102_bb1285) 2018
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Maguire (10.1016/j.rse.2020.112102_bb0720) 2019; 269-270
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Danson (10.1016/j.rse.2020.112102_bb0250) 2018; 8
Yrttimaa (10.1016/j.rse.2020.112102_bb1260) 2019; 11
Eriksson (10.1016/j.rse.2020.112102_bb0325) 2006; 30
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Kellner (10.1016/j.rse.2020.112102_bb0580) 2019; 40
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Danson (10.1016/j.rse.2020.112102_bb0245) 2014; 198-199
Wehr (10.1016/j.rse.2020.112102_bb1185) 1999; 54
Yun (10.1016/j.rse.2020.112102_bb1280) 2016; 8
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Calders (10.1016/j.rse.2020.112102_bb0165) 2015; 6
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Elsherif (10.1016/j.rse.2020.112102_bb0305) 2019; 11
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Karan (10.1016/j.rse.2020.112102_bb0570) 2016; 568
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Douglas (10.1016/j.rse.2020.112102_bb0285) 2015; 12
Toan (10.1016/j.rse.2020.112102_bb1095) 2011; 115
Verbeeck (10.1016/j.rse.2020.112102_bb1125) 2019; 2
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Lovell (10.1016/j.rse.2020.112102_bb0700) 2003; 29
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Smith (10.1016/j.rse.2020.112102_bb1030) 2014; 201
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Liang (10.1016/j.rse.2020.112102_bb0670) 2018; 144
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Wang (10.1016/j.rse.2020.112102_bb1155) 2020; 165
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Wilkes (10.1016/j.rse.2020.112102_bb1225) 2019
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Yrttimaa (10.1016/j.rse.2020.112102_bb1265) 2019; 151
Yang (10.1016/j.rse.2020.112102_bb1255) 2019; 15
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Liang (10.1016/j.rse.2020.112102_bb0660) 2015; 53
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Huo (10.1016/j.rse.2020.112102_bb0490) 2019; 103
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Liu (10.1016/j.rse.2020.112102_bb0690) 2019; 148
Murray (10.1016/j.rse.2020.112102_bb0785) 2020; 21
Hosoi (10.1016/j.rse.2020.112102_bb0475) 2006; 44
Pyörälä (10.1016/j.rse.2020.112102_bb0860) 2018; 11
Terryn (10.1016/j.rse.2020.112102_bb1085) 2020; 168
Weber (10.1016/j.rse.2020.112102_bb1180) 1995
Blair (10.1016/j.rse.2020.112102_bb0110) 1999; 2509–2512
Hess (10.1016/j.rse.2020.112102_bb0455) 2018; 8
Chen (10.1016/j.rse.2020.112102_bb0215) 2016; 10
Duncanson (10.1016/j.rse.2020.112102_bb0295) 2019; 40
Hallé (10.1016/j.rse.2020.112102_bb0415) 1978
Wilson (10.1016/j.rse.2020.112102_bb1235) 1959; 58
Itakura (10.1016/j.rse.2020.112102_bb0500) 2019; 11
Krůček (10.1016/j.rse.2020.112102_bb0600) 2019; 264
Newnham (10.1016/j.rse.2020.112102_bb0790) 2012
Raumonen (10.1016/j.rse.2020.112102_bb0890) 2013; 5
Tian (10.1016/j.rse.2020.112102_bb1090) 2019; 10
Chave (10.1016/j.rse.2020.112102_bb0205) 2014; 20
Hofman (10.1016/j.rse.2020.112102_bb0460) 2014; 99
Enquist (10.1016/j.rse.2020.112102_bb0315) 2007; 449
Saarinen (10.1016/j.rse.2020.112102_bb0940) 2019; 10
Strahler (10.1016/j.rse.2020.112102_bb1070) 2008; 34
Widlowski (10.1016/j.rse.2020.112102_bb1205) 2015; 169
Stobo-Wilson (10.1016/j.rse.2020.112102_bb1050) 2020
Goodman (10.1016/j.rse.2020.112102_bb0380) 2014; 24
Barbeito (10.1016/j.rse.2020.112102_bb0055) 2017; 405
Willim (10.1016/j.rse.2020.112102_bb1230) 2019; 19
Asner (10.1016/j.rse.2020.112102_bb0030) 2003; 12
Henry (10.1016/j.rse.2020.112102_bb0450) 2
References_xml – volume: 318
  start-page: 304
  year: 2014
  end-page: 317
  ident: bb1040
  article-title: Multi-temporal terrestrial laser scanning for modeling tree biomass change
  publication-title: For. Ecol. Manag.
– volume: 261
  start-page: 2123
  year: 2011
  end-page: 2132
  ident: bb0980
  article-title: Crown plasticity in mixed forests—quantifying asymmetry as a measure of competition using terrestrial laser scanning
  publication-title: For. Ecol. Manag.
– volume: 9
  start-page: 1154
  year: 2017
  ident: bb1210
  article-title: A case study of UAS borne laser scanning for measurement of tree stem diameter
  publication-title: Remote Sens.
– volume: 14
  start-page: 14994
  year: 2014
  end-page: 15008
  ident: bb0235
  article-title: Automated in-situ laser scanner for monitoring forest leaf area index
  publication-title: Sensors
– volume: 456
  start-page: 117751
  year: 2020
  ident: bb0595
  article-title: Terrestrial laser scanning for non-destructive estimates of liana stem biomass
  publication-title: For. Ecol. Manag.
– volume: 38
  start-page: 2954
  year: 2017
  end-page: 2972
  ident: bb0395
  article-title: An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
  publication-title: Int. J. Remote Sens.
– volume: 44
  start-page: 3610
  year: 2006
  end-page: 3618
  ident: bb0475
  article-title: Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning Lidar
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 161
  start-page: 246
  year: 2020
  end-page: 262
  ident: bb0495
  article-title: Accurate derivation of stem curve and volume using backpack mobile laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 8
  start-page: 117
  year: 2016
  end-page: 122
  ident: bb1110
  article-title: The effect of wind on tree stem parameter estimation using terrestrial laser scanning
  publication-title: ISPRS Ann. Photogramm. , Remote Sens. Spatial Inf. Sci
– volume: 9
  year: 2018
  ident: bb1015
  article-title: Variability in fire-induced change to vegetation physiognomy and biomass in semi-arid savanna
  publication-title: Ecosphere
– volume: 29
  start-page: 1579
  year: 2008
  end-page: 1593
  ident: bb0710
  article-title: Automatic forest inventory parameter determination from terrestrial laser scanner data
  publication-title: Int. J. Remote Sens.
– volume: 5
  start-page: 1032
  year: 2014
  end-page: 1052
  ident: bb0930
  article-title: Urban-tree-attribute update using multisource single-tree inventory
  publication-title: Forests
– volume: 92
  start-page: 177
  year: 2019
  end-page: 187
  ident: bb0865
  article-title: Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds
  publication-title: Forestry Int. J. For. Res.
– volume: 165
  start-page: 86
  year: 2020
  end-page: 97
  ident: bb1155
  article-title: Unsupervised semantic and instance segmentation of forest point clouds
  publication-title: ISPRS J. Photogramm. Remote Sens.
– start-page: 1
  year: 2019
  end-page: 14
  ident: bb0590
  article-title: Improved supervised learning-based approach for leaf and wood classification From LiDAR point clouds of forests
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 64
  start-page: 43
  year: 2018
  end-page: 50
  ident: bb1295
  article-title: Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 8
  start-page: 20170039
  year: 2018
  ident: bb0645
  article-title: On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements
  publication-title: Interface Focus
– volume: 34
  start-page: 573
  year: 2004
  end-page: 583
  ident: bb0470
  article-title: Assessing forest metrics with a ground-based scanning lidar
  publication-title: Can. J. For. Res.
– volume: 168
  start-page: 170
  year: 2020
  end-page: 181
  ident: bb1085
  article-title: Tree species classification using structural features derived from terrestrial laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 124
  start-page: 187
  year: 2005
  end-page: 192
  ident: bb0540
  article-title: Effects of thinning on growth of six tree species in north-temperate forests of Lithuania
  publication-title: Eur. J. For. Res.
– volume: 10
  start-page: 848
  year: 2019
  ident: bb0940
  article-title: Assessing the effects of sample size on parametrizing a taper curve equation and the resultant stem-volume estimates
  publication-title: Forests
– volume: 151
  start-page: 204
  year: 2011
  end-page: 214
  ident: bb0770
  article-title: Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data
  publication-title: Agric. For. Meteorol.
– volume: 268
  start-page: 249
  year: 2019
  end-page: 257
  ident: bb0970
  article-title: Quantifying 3D structure and occlusion in dense tropical and temperate forests using close-range LiDAR
  publication-title: Agric. For. Meteorol.
– volume: 1
  start-page: 239
  year: 2015
  end-page: 251
  ident: bb0795
  article-title: Terrestrial laser scanning for plot-scale forest measurement
  publication-title: Curr. For. Rep.
– volume: 99
  start-page: 130
  year: 2014
  end-page: 139
  ident: bb0460
  article-title: On the relation between tree crown morphology and particulate matter deposition on urban tree leaves: a ground-based LiDAR approach
  publication-title: Atmos. Environ.
– year: 2019
  ident: bb1225
  article-title: Rapid characterisation of fine scale branch structure using terrestrial LiDAR
  publication-title: Presented at the 4th Scientific Meeting on TLS in Forest Ecology
– volume: 12
  start-page: 776
  year: 2015
  end-page: 780
  ident: bb0285
  article-title: Finding leaves in the forest: the dual-wavelength Echidna Lidar
  publication-title: IEEE Geosci. Remote Sens. Lett.
– volume: 1
  start-page: 100002
  year: 2020
  ident: bb0290
  article-title: The global ecosystem dynamics investigation: high-resolution laser ranging of the earth’s forests and topography
  publication-title: Sci. Remote Sens.
– start-page: 6620
  year: 2017
  end-page: 6629
  ident: bb0910
  article-title: OctNet: learning deep 3D representations at high resolutions
  publication-title: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
– volume: 11
  start-page: 2311
  year: 2019
  ident: bb0305
  article-title: Four dimensional mapping of vegetation moisture content using dual-wavelength terrestrial laser scanning
  publication-title: Remote Sens.
– volume: 11
  start-page: 509
  year: 2019
  ident: bb0835
  article-title: Characterizing a New England saltmarsh with NASA G-LiHT airborne Lidar
  publication-title: Remote Sens.
– volume: 34
  start-page: 33
  year: 2019
  end-page: 38
  ident: bb1120
  article-title: Effects on stem growth of scots pine 33 years after thinning and/or fertilization in northern Sweden
  publication-title: Scand. J. For. Res.
– volume: 65
  start-page: 514
  year: 2010
  end-page: 522
  ident: bb0505
  article-title: A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 184
  start-page: 82
  year: 2014
  end-page: 97
  ident: bb0080
  article-title: On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR
  publication-title: Agric. For. Meteorol.
– volume: 54
  start-page: 4314
  year: 2016
  end-page: 4330
  ident: bb0575
  article-title: Marker-free registration of forest terrestrial laser scanner data pairs with embedded confidence metrics
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 38
  start-page: 878
  year: 2008
  end-page: 889
  ident: bb0195
  article-title: Assessing prediction errors of generalized tree biomass and volume equations for the boreal forest region of west-Central Canada
  publication-title: Can. J. For. Res.
– volume: 4
  start-page: 344
  year: 2013
  end-page: 353
  ident: bb1275
  article-title: Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds
  publication-title: Remote Sens. Lett.
– volume: 6
  start-page: 3906
  year: 2014
  end-page: 3922
  ident: bb0550
  article-title: Change detection of tree biomass with terrestrial laser scanning and quantitative structure modelling
  publication-title: Remote Sens.
– start-page: 119
  year: 1995
  end-page: 128
  ident: bb1180
  article-title: Creation and rendering of realistic trees
  publication-title: SIGGRAPH 1995, Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques
– volume: 103
  start-page: 782
  year: 2019
  end-page: 790
  ident: bb0490
  article-title: Tree defoliation classification based on point distribution features derived from single-scan terrestrial laser scanning data
  publication-title: Ecol. Indic.
– start-page: 1653
  year: 2014
  end-page: 1660
  ident: bb1100
  article-title: DeepPose: human pose estimation via deep neural networks
  publication-title: 2014 IEEE Conference on Computer Vision and Pattern Recognition
– volume: 20
  start-page: 7119
  year: 2012
  end-page: 7127
  ident: bb0410
  article-title: Full waveform hyperspectral LiDAR for terrestrial laser scanning
  publication-title: Opt. Express
– volume: 7
  start-page: 299
  year: 2016
  end-page: 308
  ident: bb0975
  article-title: Radiometric calibration of a dual-wavelength terrestrial laser scanner using neural networks
  publication-title: Remote Sens. Lett.
– volume: 147
  start-page: 294
  year: 2019
  end-page: 306
  ident: bb0845
  article-title: Measuring stem diameters with TLS in boreal forests by complementary fitting procedure
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 10
  start-page: 537
  year: 2019
  ident: bb1090
  article-title: A novel tree height extraction approach for individual trees by combining TLS and UAV image-based point cloud integration
  publication-title: Forests
– volume: 449
  start-page: 218
  year: 2007
  end-page: 222
  ident: bb0315
  article-title: A general integrative model for scaling plant growth, carbon flux, and functional trait spectra
  publication-title: Nature
– volume: 276
  start-page: 122
  year: 1997
  end-page: 126
  ident: bb1190
  article-title: A general model for the origin of allometric scaling laws in biology
  publication-title: Science
– volume: 115
  start-page: 2850
  year: 2011
  end-page: 2860
  ident: bb1095
  article-title: The BIOMASS mission: mapping global forest biomass to better understand the terrestrial carbon cycle
  publication-title: Remote Sens. Environ.
– volume: 9
  start-page: 2057
  year: 2018
  end-page: 2066
  ident: bb0035
  article-title: Quantifying vegetation and canopy structural complexity from terrestrial LiDAR data using the forestr r package
  publication-title: Methods Ecol. Evol.
– volume: 4
  year: 2005
  ident: bb1305
  article-title: Biomass and stem volume equations for tree species in Europe
  publication-title: Silva Fennica Monogr.
– volume: 22
  start-page: 2130
  year: 2019
  end-page: 2140
  ident: bb0605
  article-title: Neighbour species richness and local structural variability modulate aboveground allocation patterns and crown morphology of individual trees
  publication-title: Ecol. Lett.
– volume: 144
  start-page: 137
  year: 2018
  end-page: 179
  ident: bb0670
  article-title: International benchmarking of terrestrial laser scanning approaches for forest inventories
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 2
  start-page: 174
  year: 2016
  end-page: 189
  ident: bb0825
  article-title: Observing ecosystems with lightweight, rapid-scanning terrestrial lidar scanners
  publication-title: Remote. Sens. Ecol. Conserv.
– start-page: 136
  year: 2006
  end-page: 141
  ident: bb0555
  article-title: Calibration for increased accuracy of the range imaging camera swissranger
  publication-title: Proceedings of the ISPRS Commission V Symposium’Image Engineering and Vision Metrology'. Isprs
– volume: 154
  start-page: 114
  year: 2019
  end-page: 126
  ident: bb0585
  article-title: Semi-automatic extraction of liana stems from terrestrial LiDAR point clouds of tropical rainforests
  publication-title: ISPRS J. Photogramm. Remote Sens.
– start-page: 49
  year: 2015
  end-page: 52
  ident: bb0815
  article-title: A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data
  publication-title: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
– volume: 8
  start-page: 20170043
  year: 2018
  ident: bb0830
  article-title: Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems
  publication-title: Interface Focus
– volume: 10
  start-page: 527
  year: 2019
  ident: bb0620
  article-title: Tree biomass equations from terrestrial LiDAR: a case study in Guyana
  publication-title: Forests
– volume: 10
  start-page: 2001
  year: 2020
  ident: bb0765
  article-title: Leveraging signatures of plant functional strategies in wood density profiles of African trees to correct mass estimations from terrestrial laser data
  publication-title: Sci. Rep.
– volume: 7
  start-page: 266
  year: 2019
  ident: bb0480
  article-title: Estimating overwintering monarch butterfly populations using terrestrial LiDAR scanning
  publication-title: Front. Ecol. Evol.
– volume: 6
  start-page: 777
  year: 2014
  end-page: 784
  ident: bb0685
  article-title: Indirect emissions of forest bioenergy: detailed modeling of stump-root systems
  publication-title: GCB Bioenergy
– volume: 50
  start-page: 661
  year: 2012
  end-page: 670
  ident: bb0655
  article-title: Automatic stem mapping using single-scan terrestrial laser scanning
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 20
  start-page: 730
  year: 2017
  end-page: 740
  ident: bb0345
  article-title: Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient
  publication-title: Ecol. Lett.
– volume: 53
  start-page: 162
  year: 2015
  end-page: 172
  ident: bb0440
  article-title: Empirical waveform decomposition and radiometric calibration of a terrestrial full-waveform laser scanner
  publication-title: IEEE Trans. Geosci. Remote Sens.
– start-page: 6
  year: 2020
  end-page: 9
  ident: bb0190
  article-title: 3D imaging insights into forests and coral reefs
  publication-title: Trends Ecol. Evol.
– volume: 8
  start-page: 20170045
  year: 2018
  ident: bb0015
  article-title: Non-intersecting leaf insertion algorithm for tree structure models
  publication-title: Interface Focus
– volume: II-5
  start-page: 43
  year: 2013
  end-page: 48
  ident: bb0095
  article-title: Processing tree point clouds using Gaussian mixture models. ISPRS annals of photogrammetry
  publication-title: Remote Sens. Spatial Informa. Sci.
– volume: 10
  start-page: 486
  year: 2019
  ident: bb0855
  article-title: A clustering framework for monitoring circadian rhythm in structural dynamics in plants from terrestrial laser scanning time series
  publication-title: Front. Plant Sci.
– volume: 10
  start-page: 540
  year: 2018
  ident: bb0155
  article-title: Comparing terrestrial laser scanning (TLS) and wearable laser scanning (WLS) for individual tree modeling at plot level
  publication-title: Remote Sens.
– volume: 123
  start-page: 1387
  year: 2018
  end-page: 1405
  ident: bb0040
  article-title: Forest canopy structural complexity and light absorption relationships at the subcontinental scale
  publication-title: J. Geophys. Res. Biogeosci.
– start-page: 289
  year: 2016
  end-page: 331
  ident: bb0260
  article-title: Remote sensing of vegetation: Potentials, limitations, developments and applications
  publication-title: Canopy Photosynthesis: From Basics to Applications
– volume: 20
  start-page: 265
  year: 2016
  end-page: 276
  ident: bb0465
  article-title: Influence of tree crown characteristics on the local PM10 distribution inside an urban street canyon in Antwerp (Belgium): a model and experimental approach
  publication-title: Urban For. Urban Green.
– volume: 15
  start-page: 8
  year: 2020
  ident: bb1130
  article-title: Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations
  publication-title: Carbon Balance Manag.
– volume: 2
  start-page: 43
  year: 2019
  ident: bb1125
  article-title: Time for a plant structural economics spectrum
  publication-title: Front. For. Glob. Change
– volume: 7
  start-page: 127
  year: 2016
  ident: bb0065
  article-title: Forest inventory with terrestrial LiDAR: a comparison of static and hand-held mobile laser scanning
  publication-title: Forests
– volume: 1–22
  year: 2019
  ident: bb0275
  article-title: Innovations in ground and airborne technologies as reference and for training and validation: terrestrial laser scanning (TLS)
  publication-title: Surv. Geophys.
– volume: 29
  start-page: 607
  year: 2003
  end-page: 622
  ident: bb0700
  article-title: Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests
  publication-title: Can. J. Remote. Sens.
– volume: 474
  start-page: 118344
  year: 2020
  ident: bb0945
  article-title: Assessing the effects of thinning on stem growth allocation of individual scots pine trees
  publication-title: For. Ecol. Manag.
– volume: 145
  start-page: 87
  year: 2005
  end-page: 99
  ident: bb0200
  article-title: Tree allometry and improved estimation of carbon stocks and balance in tropical forests
  publication-title: Oecologia
– volume: 63
  start-page: 115
  year: 2008
  end-page: 127
  ident: bb0140
  article-title: CAMPINO—A skeletonization method for point cloud processing
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 55
  start-page: 2716
  year: 2017
  end-page: 2724
  ident: bb0175
  article-title: Evaluation of the range accuracy and the radiometric calibration of multiple terrestrial laser scanning instruments for data interoperability
  publication-title: IEEE Trans. Geosci. Remote Sens.
– start-page: 294
  year: 2019
  end-page: 310
  ident: bb0435
  article-title: The GEDI simulator: a large-footprint waveform lidar simulator for calibration and validation of spaceborne missions
  publication-title: Earth Space Sci.
– volume: 235
  start-page: 111474
  year: 2019
  ident: bb0870
  article-title: Variability of wood properties using airborne and terrestrial laser scanning
  publication-title: Remote Sens. Environ.
– volume: 191
  start-page: 1
  year: 2017
  end-page: 12
  ident: bb0010
  article-title: Automatic tree species recognition with quantitative structure models
  publication-title: Remote Sens. Environ.
– volume: 5
  start-page: 263
  year: 2014
  end-page: 272
  ident: bb0025
  article-title: Creating vegetation density profiles for a diverse range of ecological habitats using terrestrial laser scanning
  publication-title: Methods Ecol. Evol.
– volume: 19
  start-page: 2
  year: 1999
  end-page: 11
  ident: bb0680
  article-title: Interactive modelling of plants
  publication-title: IEEE Comput. Graph. Appl.
– volume: 32
  start-page: 1219
  year: 2018
  end-page: 1231
  ident: bb0615
  article-title: Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling
  publication-title: Trees
– volume: 10
  start-page: 1735
  year: 2018
  ident: bb0900
  article-title: Identifying tree-related microhabitats in TLS point clouds using machine learning
  publication-title: Remote Sens.
– volume: 9
  start-page: 395
  year: 2018
  ident: bb0105
  article-title: Comparison and combination of Mobile and terrestrial laser scanning for natural Forest inventories
  publication-title: Forests
– volume: 132
  start-page: 32
  year: 2013
  end-page: 39
  ident: bb0355
  article-title: The potential of dual-wavelength laser scanning for estimating vegetation moisture content
  publication-title: Remote Sens. Environ.
– volume: 6
  start-page: 4245
  year: 2015
  end-page: 4294
  ident: bb0400
  article-title: SimpleTree—an efficient open source tool to build tree models from TLS clouds
  publication-title: Forests
– volume: 142
  start-page: 155
  year: 2014
  end-page: 175
  ident: bb1200
  article-title: Abstract tree crowns in 3D radiative transfer models: impact on simulated open-canopy reflectances
  publication-title: Remote Sens. Environ.
– volume: 276-277
  start-page: 107627
  year: 2019
  ident: bb0310
  article-title: Three dimensional mapping of forest canopy equivalent water thickness using dual-wavelength terrestrial laser scanning
  publication-title: Agric. For. Meteorol.
– volume: 201
  start-page: 217
  year: 2014
  end-page: 229
  ident: bb1030
  article-title: Deviation from symmetrically self-similar branching in trees predicts altered hydraulics, mechanics, light interception and metabolic scaling
  publication-title: New Phytol.
– volume: 31
  start-page: 1723
  year: 2017
  end-page: 1735
  ident: bb0525
  article-title: How management intensity and neighborhood composition affect the structure of beech (Fagus sylvatica L.) trees
  publication-title: Trees
– start-page: 652
  year: 2017
  end-page: 660
  ident: bb0875
  article-title: PointNet: deep learning on point sets for 3D classification and segmentation
  publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
– volume: 11
  year: 2016
  ident: bb0810
  article-title: Estimating tropical forest structure using a terrestrial Lidar
  publication-title: PLoS One
– volume: 233
  start-page: 111355
  year: 2019
  ident: bb0135
  article-title: Non-destructive tree volume estimation through quantitative structure modelling: comparing UAV laser scanning with terrestrial LIDAR
  publication-title: Remote Sens. Environ.
– volume: 10
  start-page: 1215
  year: 2018
  ident: bb1250
  article-title: Filtering stems and branches from terrestrial laser scanning point clouds using deep 3-D fully convolutional networks
  publication-title: Remote Sens.
– volume: 51
  start-page: 679
  year: 2018
  end-page: 692
  ident: bb0050
  article-title: Single-tree detection in high-density LiDAR data from UAV-based survey
  publication-title: Eur. J. Remote Sens.
– volume: 12
  start-page: 1647
  year: 2020
  ident: bb1240
  article-title: Suitability of airborne and terrestrial laser scanning for mapping tree crop structural metrics for improved orchard management
  publication-title: Remote Sens.
– volume: 97
  start-page: 61
  year: 2017
  end-page: 71
  ident: bb0220
  article-title: Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data
  publication-title: Environ. Model. Softw.
– volume: 2015
  start-page: 105
  year: 2015
  end-page: 107
  ident: bb0385
  article-title: First examples from the RIEGL VUX-SYS for forestry applications
  publication-title: Proceed. SilviLaser
– volume: 169
  start-page: 418
  year: 2015
  end-page: 437
  ident: bb1205
  article-title: The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: actual canopy scenarios and conformity testing
  publication-title: Remote Sens. Environ.
– volume: 68
  start-page: 1173
  year: 2011
  end-page: 1185
  ident: bb0340
  article-title: Comparison of conventional eight-point crown projections with LIDAR-based virtual crown projections in a temperate old-growth forest
  publication-title: Ann. For. Sci.
– start-page: 5099
  year: 2017
  end-page: 5108
  ident: bb0880
  article-title: PointNet++: Deep hierarchical feature learning on point sets in a metric space
  publication-title: Advances in Neural Information Processing Systems 30
– volume: 110
  start-page: 14
  year: 2015
  end-page: 23
  ident: bb1290
  article-title: 3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 158
  start-page: 207
  year: 2015
  end-page: 219
  ident: bb0960
  article-title: Advanced radiometry measurements and earth science applications with the airborne prism experiment (APEX)
  publication-title: Remote Sens. Environ.
– start-page: 4490
  year: 2018
  end-page: 4499
  ident: bb1285
  article-title: VoxelNet: end-to-end learning for point cloud based 3D object detection
  publication-title: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
– volume: 6
  start-page: 198
  year: 2015
  end-page: 208
  ident: bb0165
  article-title: Nondestructive estimates of above-ground biomass using terrestrial laser scanning
  publication-title: Methods Ecol. Evol.
– volume: 191
  start-page: 373
  year: 2017
  end-page: 388
  ident: bb0390
  article-title: Estimation of 3D vegetation density with terrestrial laser scanning data using voxels. A sensitivity analysis of influencing parameters
  publication-title: Remote Sens. Environ.
– volume: 19
  start-page: 1684
  year: 2019
  ident: bb1230
  article-title: Assessing understory complexity in beech-dominated forests (Fagus sylvatica L.) in Central Europe—from managed to primary forests
  publication-title: Sensors
– volume: 8
  start-page: 942
  year: 2016
  ident: bb1280
  article-title: A novel approach for retrieving tree leaf area from ground-based LiDAR
  publication-title: Remote Sens.
– volume: 194
  start-page: 104
  year: 2014
  end-page: 117
  ident: bb0160
  article-title: Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR
  publication-title: Agric. For. Meteorol.
– volume: 395
  start-page: 19
  year: 2017
  end-page: 26
  ident: bb0520
  article-title: Canopy space filling rather than conventional measures of structural diversity explains productivity of beech stands
  publication-title: For. Ecol. Manag.
– volume: 11
  year: 2016
  ident: bb0240
  article-title: African savanna-Forest boundary dynamics: a 20-year study
  publication-title: PLoS One
– volume: 18
  start-page: 3357
  year: 2018
  ident: bb0225
  article-title: A simulation study using terrestrial LiDAR point cloud data to quantify spectral variability of a broad-leaved Forest canopy
  publication-title: Sensors
– volume: 2
  year: 2008
  ident: bb0630
  article-title: Volume estimates of trees with complex architecture from terrestrial laser scanning
  publication-title: J. Appl. Remote. Sens.
– volume: 123
  start-page: 140
  year: 2017
  end-page: 158
  ident: bb0935
  article-title: Feasibility of terrestrial laser scanning for collecting stem volume information from single trees
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 34
  start-page: S426
  year: 2008
  end-page: S440
  ident: bb1070
  article-title: Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna)
  publication-title: Can. J. Remote. Sens.
– year: 2012
  ident: bb0790
  article-title: Evaluation of Terrestrial Laser Scanners for Measuring Vegetation Structure (No. EP124571). CSIRO Sustainable Agriculture Flagship
– volume: 450
  start-page: 117484
  year: 2019
  ident: bb0090
  article-title: On promoting the use of lidar systems in forest ecosystem research
  publication-title: For. Ecol. Manag.
– volume: 2
  start-page: 32
  year: 2019
  ident: bb1000
  article-title: The world’s tallest tropical tree in three dimensions
  publication-title: Front. For. Glob. Change
– start-page: 44
  year: 1970
  end-page: 67
  ident: bb1035
  article-title: Vegetation
  publication-title: Australian Environment
– volume: 348
  start-page: 108
  year: 2015
  end-page: 116
  ident: bb0405
  article-title: Mechanical abrasion, and not competition for light, is the dominant canopy interaction in a temperate mixed forest
  publication-title: For. Ecol. Manag.
– volume: 9
  start-page: 309
  year: 2020
  ident: bb1270
  article-title: Multisensorial close-range sensing generates benefits for characterization of managed scots Pine (
  publication-title: ISPRS Int. J. Geo-Informa.
– start-page: 7760
  year: 2020
  end-page: 7768
  ident: bb0650
  article-title: Recurrent feature reasoning for image inpainting
  publication-title: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
– volume: 10
  start-page: 1279
  year: 2016
  end-page: 1295
  ident: bb0335
  article-title: Application and validation of long-range terrestrial laser scanning to monitor the mass balance of very small glaciers in the Swiss Alps
  publication-title: Cryosphere
– volume: 424
  start-page: 519
  year: 2018
  end-page: 528
  ident: bb0950
  article-title: Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data
  publication-title: For. Ecol. Manag.
– volume: 75
  start-page: 163
  year: 2019
  end-page: 170
  ident: bb0330
  article-title: Estimating residual biomass of olive tree crops using terrestrial laser scanning
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 61
  start-page: 963
  year: 2015
  end-page: 974
  ident: bb0350
  article-title: Lidar measurement of surface melt for a temperate Alpine glacier at the seasonal and hourly scales
  publication-title: J. Glaciol.
– start-page: 17
  year: 2017
  ident: bb0130
  article-title: Comparing RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR
  publication-title: Sensors
– volume: 11
  start-page: 3598
  year: 2018
  end-page: 3607
  ident: bb0860
  article-title: Quantitative assessment of scots pine (Pinus Sylvestris L.) whorl structure in a forest environment using terrestrial laser scanning
  publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
– volume: 264
  start-page: 188
  year: 2019
  end-page: 199
  ident: bb0600
  article-title: Beyond the cones: how crown shape plasticity alters aboveground competition for space and light—evidence from terrestrial laser scanning
  publication-title: Agric. For. Meteorol.
– volume: 21
  start-page: 473
  year: 2020
  end-page: 483
  ident: bb0785
  article-title: The novel use of proximal photogrammetry and terrestrial LiDAR to quantify the structural complexity of orchard trees
  publication-title: Precis. Agric.
– volume: 363
  start-page: 31
  year: 2016
  end-page: 38
  ident: bb0995
  article-title: Canopy gaps affect the shape of Douglas-fir crowns in the western cascades, Oregon
  publication-title: For. Ecol. Manag.
– volume: 3
  start-page: 115
  year: 2012
  ident: bb0565
  article-title: NEON terrestrial field observations: designing continental-scale, standardized sampling
  publication-title: Ecosphere
– volume: 3
  start-page: 12
  year: 2020
  ident: bb0150
  article-title: Assessment of bias in pan-tropical biomass predictions
  publication-title: Front. For. Glob. Change
– volume: 11
  start-page: 376
  year: 2020
  end-page: 389
  ident: bb1165
  article-title: LeWoS: a universal leaf-wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
  publication-title: Methods Ecol. Evol.
– volume: 51
  start-page: 184
  year: 2014
  end-page: 189
  ident: bb0085
  article-title: A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR
  publication-title: Environ. Model. Softw.
– volume: 115
  start-page: 63
  year: 2016
  end-page: 77
  ident: bb0665
  article-title: Terrestrial laser scanning in forest inventories
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 8
  start-page: 735
  year: 2015
  end-page: 742
  ident: bb0990
  article-title: Relationship between tree growth and physical dimensions of Fagus sylvatica crowns assessed from terrestrial laser scanning
  publication-title: iForest - Biogeosci. For.
– volume: 52
  start-page: 7619
  year: 2014
  end-page: 7628
  ident: bb1140
  article-title: Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR data
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 10
  start-page: 172
  year: 2016
  ident: bb1005
  article-title: Terrestrial laser scanning as a tool for assessing tree growth
  publication-title: iForest-Biogeosci. For.
– volume: 90
  start-page: 102070
  year: 2020
  ident: bb1020
  article-title: Moving from plot-based to hillslope-scale assessments of savanna vegetation structure with long-range terrestrial laser scanning (LR-TLS)
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 201
  start-page: 344
  year: 2014
  end-page: 356
  ident: bb0715
  article-title: Assessing leaf photoprotective mechanisms using terrestrial LiDAR: towards mapping canopy photosynthetic performance in three dimensions
  publication-title: New Phytol.
– volume: 154-155
  start-page: 1
  year: 2012
  end-page: 8
  ident: bb0985
  article-title: Analyzing forest canopies with ground-based laser scanning: a comparison with hemispherical photography
  publication-title: Agric. For. Meteorol.
– volume: 198-199
  start-page: 7
  year: 2014
  end-page: 14
  ident: bb0245
  article-title: Developing a dual-wavelength full-waveform terrestrial laser scanner to characterize forest canopy structure
  publication-title: Agric. For. Meteorol.
– volume: 310
  start-page: 275
  year: 2013
  end-page: 288
  ident: bb0750
  article-title: Crown modeling by terrestrial laser scanning as an approach to assess the effect of aboveground intra- and interspecific competition on tree growth
  publication-title: For. Ecol. Manag.
– volume: 75
  start-page: 64
  year: 2013
  end-page: 75
  ident: bb0560
  article-title: Individual tree biomass estimation using terrestrial laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 439
  start-page: 132
  year: 2019
  end-page: 145
  ident: bb0625
  article-title: Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling
  publication-title: For. Ecol. Manag.
– volume: 196
  start-page: 140
  year: 2017
  end-page: 153
  ident: bb1215
  article-title: Data acquisition considerations for terrestrial laser scanning of forest plots
  publication-title: Remote Sens. Environ.
– volume: 9
  start-page: 905
  year: 2018
  end-page: 916
  ident: bb0760
  article-title: Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: a comparison with traditional destructive approach
  publication-title: Methods Ecol. Evol.
– volume: 152
  start-page: 235
  year: 2014
  end-page: 250
  ident: bb0965
  article-title: Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data
  publication-title: Remote Sens. Environ.
– volume: 8
  start-page: 6800
  year: 2018
  end-page: 6811
  ident: bb0455
  article-title: A high-resolution approach for the spatiotemporal analysis of forest canopy space using terrestrial laser scanning data
  publication-title: Ecol. Evol.
– start-page: 945
  year: 2015
  end-page: 953
  ident: bb1075
  article-title: Multi-view convolutional neural networks for 3D shape recognition
  publication-title: 2015 IEEE International Conference on Computer Vision (ICCV)
– start-page: 269
  year: 1978
  end-page: 331
  ident: bb0415
  article-title: Opportunistic tree architecture
  publication-title: Trop.Trees For.
– volume: 24
  start-page: 680
  year: 2014
  end-page: 698
  ident: bb0380
  article-title: The importance of crown dimensions to improve tropical tree biomass estimates
  publication-title: Ecol. Appl.
– volume: 188
  start-page: 37
  year: 2017
  end-page: 50
  ident: bb0430
  article-title: Measurement of fine-spatial-resolution 3D vegetation structure with airborne waveform lidar: calibration and validation with voxelised terrestrial lidar
  publication-title: Remote Sens. Environ.
– volume: 200
  start-page: 31
  year: 2017
  end-page: 42
  ident: bb1060
  article-title: Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR
  publication-title: Remote Sens. Environ.
– volume: 2
  year: 2015
  ident: bb0895
  article-title: Massive-scale tree modelling from TLS data
  publication-title: ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences
– start-page: 656
  year: 2020
  end-page: 667
  ident: bb1115
  article-title: Standardizing ecosystem morphological traits from 3D information sources
  publication-title: Trends Ecol. Evol.
– volume: 8
  start-page: 20170049
  year: 2018
  ident: bb0250
  article-title: Spectral and spatial information from a novel dual-wavelength full-waveform terrestrial laser scanner for forest ecology
  publication-title: Interface Focus
– volume: 222
  start-page: 1736
  year: 2019
  end-page: 1741
  ident: bb0265
  article-title: Terrestrial LiDAR: a three-dimensional revolution in how we look at trees
  publication-title: New Phytol.
– volume: 9
  start-page: 704
  year: 2018
  ident: bb0360
  article-title: Long-term abandonment of Forest management has a strong impact on tree morphology and wood volume allocation pattern of European beech (Fagus sylvatica L.)
  publication-title: Forests
– volume: 54
  start-page: 68
  year: 1999
  end-page: 82
  ident: bb1185
  article-title: Airborne laser scanning - an introduction and overview
  publication-title: ISPRS J. Photogramm. Remote Sens.
– start-page: 3859
  year: 2019
  end-page: 3868
  ident: bb1010
  article-title: 3d point cloud generative adversarial network based on tree structured graph convolutions
  publication-title: Proceedings of the IEEE International Conference on Computer Vision
– volume: 40
  start-page: 979
  year: 2019
  end-page: 999
  ident: bb0295
  article-title: The importance of consistent global Forest aboveground biomass product validation
  publication-title: Surv. Geophys.
– year: 2016
  ident: bb0375
  article-title: Deep Learning
– volume: 10
  start-page: 933
  year: 2018
  ident: bb0180
  article-title: Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling
  publication-title: Remote Sens.
– volume: 74
  start-page: 44
  year: 2018
  end-page: 55
  ident: bb0775
  article-title: Surface reconstruction of incomplete datasets: a novel Poisson surface approach based on CSRBF
  publication-title: Comput. Graph.
– volume: 10
  start-page: 680
  year: 2019
  end-page: 694
  ident: bb0115
  article-title: Leaf and wood classification framework for terrestrial LiDAR point clouds
  publication-title: Methods Ecol. Evol.
– volume: 6
  start-page: 20
  year: 2019
  ident: bb0675
  article-title: Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements
  publication-title: For. Ecosyst.
– volume: 16
  start-page: 20190116
  year: 2019
  ident: bb0510
  article-title: An architectural understanding of natural sway frequencies in trees
  publication-title: J. R. Soc. Interface
– volume: 18
  start-page: 676
  year: 2009
  end-page: 685
  ident: bb0695
  article-title: Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics. Int. J
  publication-title: Wildland Fire
– year: 1981
  ident: bb0925
  article-title: The Radiation Regime and Architecture of Plant Stands
– volume: 231
  start-page: 111264
  year: 2019
  ident: bb0535
  article-title: The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation – leaf water content as a proxy
  publication-title: Remote Sens. Environ.
– volume: 40
  start-page: 959
  year: 2019
  end-page: 977
  ident: bb0580
  article-title: New opportunities for forest remote sensing through ultra-high-density drone Lidar
  publication-title: Surv. Geophys.
– volume: 9
  start-page: 223
  year: 2018
  end-page: 234
  ident: bb0370
  article-title: Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR
  publication-title: Methods Ecol. Evol.
– volume: 34
  start-page: 2144
  year: 2013
  end-page: 2150
  ident: bb0805
  article-title: Single tree species classification from terrestrial laser scanning data for forest inventory
  publication-title: Pattern Recogn. Lett.
– volume: 50
  start-page: 126653
  year: 2020
  ident: bb0045
  article-title: Quantifying urban forest structure with open-access remote sensing data sets
  publication-title: Urban For. Urban Green.
– volume: 215
  start-page: 343
  year: 2018
  end-page: 370
  ident: bb0840
  article-title: Estimators and confidence intervals for plant area density at voxel scale with T-LiDAR
  publication-title: Remote Sens. Environ.
– volume: 4
  start-page: 1519
  year: 2012
  end-page: 1543
  ident: bb1135
  article-title: Development of a UAV-LiDAR system with application to forest inventory
  publication-title: Remote Sens.
– volume: 5
  start-page: 13
  year: 2010
  end-page: 18
  ident: bb0020
  article-title: Deep machine learning - a new frontier in artificial intelligence research [research frontier]
  publication-title: IEEE Comput. Intell. Mag.
– volume: 52
  start-page: 67
  year: 2006
  end-page: 80
  ident: bb0445
  article-title: Detailed stem measurements of standing trees from ground-based scanning Lidar
  publication-title: For. Sci.
– year: 2020
  ident: bb1050
  article-title: Illuminating den-tree selection by an arboreal mammal using terrestrial laser scanning in northern Australia
  publication-title: Remote. Sens. Ecol. Conser.
– start-page: 83
  year: 2020
  end-page: 104
  ident: bb0780
  article-title: The Laegeren site: An augmented Forest Laboratory
  publication-title: Remote Sensing of Plant Biodiversity
– start-page: 3
  year: 2016
  end-page: 33
  ident: bb0635
  article-title: Terrestrial laser scanning in the age of sensing
  publication-title: Digital Methods and Remote Sensing in Archaeology: Archaeology in the Age of Sensing
– volume: 134
  start-page: 211
  year: 2015
  end-page: 222
  ident: bb0745
  article-title: Validation of terrestrial laser scanning data using conventional forest inventory methods
  publication-title: Eur. J. For. Res.
– volume: 40
  start-page: 863
  year: 2019
  end-page: 880
  ident: bb0210
  article-title: Ground data are essential for biomass remote sensing missions
  publication-title: Surv. Geophys.
– volume: 52
  start-page: 7160
  year: 2014
  end-page: 7169
  ident: bb1145
  article-title: An assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 15
  start-page: 289
  year: 2019
  end-page: 296
  ident: bb1255
  article-title: The effects of tree characteristics on rainfall interception in urban areas
  publication-title: Landsc. Ecol. Eng.
– volume: 44
  start-page: 126441
  year: 2019
  ident: bb1080
  article-title: Effect of canopy structure on the performance of tree mapping methods in urban parks
  publication-title: Urban For. Urban Green.
– volume: 114
  start-page: 2229
  year: 2010
  end-page: 2237
  ident: bb0300
  article-title: Simultaneous measurements of plant structure and chlorophyll content in broadleaf saplings with a terrestrial laser scanner
  publication-title: Remote Sens. Environ.
– year: 2010
  ident: bb0800
  article-title: Thinning of Scots Pine and Norway Spruce Monocultures in Sweden: Effects of Different Thinning Programmes on Stand Level Gross- and Net Stem Volume Production
– volume: 7
  start-page: 1877
  year: 2015
  end-page: 1896
  ident: bb1045
  article-title: Terrestrial laser scanning as an effective tool to retrieve tree level height, crown width, and stem diameter
  publication-title: Remote Sens.
– volume: 5
  start-page: 753
  year: 2018
  end-page: 776
  ident: bb0280
  article-title: Examining forest structure with terrestrial Lidar: suggestions and novel techniques based on comparisons between scanners and Forest treatments
  publication-title: Life Support Biosph. Sci.
– start-page: 1713
  year: 2019
  end-page: 1722
  ident: bb0420
  article-title: Deep semantic instance segmentation of tree-like structures using synthetic data
  publication-title: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)
– volume: 2509–2512
  year: 1999
  ident: bb0110
  article-title: Modeling laser altimeter return waveforms over complex vegetation using high-resolution elevation data
  publication-title: Geophys. Res. Lett.
– volume: 29
  start-page: 551
  year: 2015
  end-page: 561
  ident: bb1175
  article-title: Analysis of wood density profiles of tree stems: incorporating vertical variations to optimize wood sampling strategies for density and biomass estimations
  publication-title: Trees
– volume: 10
  year: 2015
  ident: bb0060
  article-title: Wood specific gravity variations and biomass of Central African tree species: the simple choice of the outer wood
  publication-title: PLoS One
– volume: 5
  start-page: 491
  year: 2013
  end-page: 520
  ident: bb0890
  article-title: Fast automatic precision tree models from terrestrial laser scanner data
  publication-title: Remote Sens.
– volume: 106
  start-page: 7046
  year: 2009
  end-page: 7051
  ident: bb0320
  article-title: Extensions and evaluations of a general quantitative theory of forest structure and dynamics
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 50
  start-page: 675
  year: 2020
  end-page: 691
  ident: bb0755
  article-title: Structure-preserving shape completion of 3D point clouds with generative adversarial network
  publication-title: Sci. Sin. Informa.
– year: 2003
  ident: bb1025
  article-title: Report: ISPRS Comparison of Filters
– volume: 10
  year: 2016
  ident: bb0215
  article-title: Strata-based forest fuel classification for wild fire hazard assessment using terrestrial LiDAR
  publication-title: J. Appl. Remote. Sens.
– volume: 227
  start-page: 44
  year: 2019
  end-page: 60
  ident: bb0885
  article-title: The European Space Agency BIOMASS mission: measuring forest above-ground biomass from space
  publication-title: Remote Sens. Environ.
– volume: 264
  start-page: 322
  year: 2019
  end-page: 333
  ident: bb0120
  article-title: New estimates of leaf angle distribution from terrestrial LiDAR: comparison with measured and modelled estimates from nine broadleaf tree species
  publication-title: Agric. For. Meteorol.
– volume: 405
  start-page: 381
  year: 2017
  end-page: 390
  ident: bb0055
  article-title: Terrestrial laser scanning reveals differences in crown structure of Fagus sylvatica in mixed vs. pure European forests
  publication-title: For. Ecol. Manag.
– volume: 8
  start-page: 20170048
  year: 2018
  ident: bb0270
  article-title: Weighing trees with lasers: advances, challenges and opportunities
  publication-title: Interface Focus
– volume: 429
  start-page: 327
  year: 2018
  end-page: 335
  ident: bb0255
  article-title: Assessing the structural differences between tropical forest types using terrestrial laser scanning
  publication-title: For. Ecol. Manag.
– volume: 113
  start-page: 1067
  year: 2009
  end-page: 1081
  ident: bb0230
  article-title: The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar
  publication-title: Remote Sens. Environ.
– volume: 216
  start-page: 626
  year: 2018
  end-page: 634
  ident: bb0735
  article-title: Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: a case study in Lopé National Park
  publication-title: Gabon. Remote Sens. Environ.
– volume: 93
  start-page: 75
  year: 2020
  end-page: 83
  ident: bb0530
  article-title: Effect of tree species mixing on stand structural complexity
  publication-title: Forestry
– volume: 269-270
  start-page: 157
  year: 2019
  end-page: 168
  ident: bb0720
  article-title: Terrestrial lidar scanning reveals fine-scale linkages between microstructure and photosynthetic functioning of small-stature spruce trees at the forest-tundra ecotone
  publication-title: Agric. For. Meteorol.
– volume: 9
  start-page: 252
  year: 2018
  ident: bb1160
  article-title: Separating tree photosynthetic and non-photosynthetic components from point cloud data using dynamic segment merging
  publication-title: For. Trees Livelihoods
– year: 2019
  ident: bb0125
  article-title: Characterizing the Impacts of the Invasive Hemlock Woolly Adelgid on the Forest Structure of New England
– volume: 1
  start-page: 934
  year: 2009
  end-page: 951
  ident: bb0485
  article-title: LiDAR utility for natural resource managers
  publication-title: Remote Sens.
– volume: 252
  start-page: 231
  year: 2018
  end-page: 240
  ident: bb0185
  article-title: Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index
  publication-title: Agric. For. Meteorol.
– volume: 89
  start-page: 102091
  year: 2020
  ident: bb1245
  article-title: Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 189-190
  start-page: 105
  year: 2014
  end-page: 114
  ident: bb0425
  article-title: Characterising forest gap fraction with terrestrial lidar and photography: an examination of relative limitations
  publication-title: Agric. For. Meteorol.
– volume: 12
  start-page: 191
  year: 2003
  end-page: 205
  ident: bb0030
  article-title: Global synthesis of leaf area index observations: implications for ecological and remote sensing studies
  publication-title: Glob. Ecol. Biogeogr.
– volume: 58
  start-page: 92
  year: 1959
  end-page: 99
  ident: bb1235
  article-title: Analysis of the spatial distribution of foliage by two-dimensional point quadrats
  publication-title: New Phytol.
– volume: 247
  start-page: 111932
  year: 2020
  ident: bb1170
  article-title: Direct estimation of photon recollision probability using terrestrial laser scanning
  publication-title: Remote Sens. Environ.
– volume: 11
  start-page: 1423
  year: 2019
  ident: bb1260
  article-title: Investigating the feasibility of multi-scan terrestrial laser scanning to characterize tree communities in southern boreal forests
  publication-title: Remote Sens.
– volume: 26
  year: 2017
  ident: bb0915
  article-title: A review of thinning effects on scots pine stands: from growth and yield to new challenges under global change
  publication-title: For. Syst.
– volume: 12
  year: 2017
  ident: bb1105
  article-title: 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
  publication-title: PLoS One
– volume: 263
  start-page: 276
  year: 2018
  end-page: 286
  ident: bb1300
  article-title: Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning
  publication-title: Agric. For. Meteorol.
– volume: 151
  start-page: 1252
  year: 2011
  end-page: 1266
  ident: bb0075
  article-title: Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements
  publication-title: Agric. For. Meteorol.
– volume: 121
  start-page: 19
  year: 2004
  end-page: 35
  ident: bb0515
  article-title: Review of methods for in situ leaf area index determination: part I. Theories, sensors and hemispherical photography
  publication-title: Agric. For. Meteorol.
– volume: 11
  start-page: 3527
  year: 2018
  end-page: 3537
  ident: bb1055
  article-title: Improved biomass calibration and validation with terrestrial LiDAR: implications for future LiDAR and SAR missions
  publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
– volume: 11
  start-page: 344
  year: 2019
  ident: bb0500
  article-title: Estimation of leaf inclination angle in three-dimensional plant images obtained from Lidar
  publication-title: Remote Sens.
– volume: 16
  start-page: 313
  year: 2016
  ident: bb0640
  article-title: Radiometric calibration of a dual-wavelength, full-waveform terrestrial Lidar
  publication-title: Sensors
– volume: 8
  start-page: 679
  year: 2016
  ident: bb1150
  article-title: An assessment of pre- and post fire near surface fuel Hazard in an Australian dry Sclerophyll Forest using point cloud data captured using a terrestrial laser scanner
  publication-title: Remote Sens.
– start-page: 1610
  year: 2015
  end-page: 1613
  ident: bb0920
  article-title: The NASA-ISRO SAR mission - An international space partnership for science and societal benefit
  publication-title: 2015 IEEE Radar Conference (RadarCon)
– volume: 29
  start-page: 171
  year: 2009
  end-page: 181
  ident: bb0545
  article-title: Estimating forest LAI profiles and structural parameters using a ground-based laser called Echidna
  publication-title: Tree Physiol.
– volume: 41
  start-page: 755
  year: 2004
  end-page: 767
  ident: bb0820
  article-title: A portable LIDAR system for rapid determination of forest canopy structure
  publication-title: J. Appl. Ecol.
– volume: 203
  start-page: 21
  year: 2004
  end-page: 34
  ident: bb0725
  article-title: Thinning intensity and long-term changes in increment and stem form of scots pine trees
  publication-title: For. Ecol. Manag.
– volume: 32
  start-page: 645
  year: 2018
  end-page: 664
  ident: bb0365
  article-title: Ancillary vegetation measurements at ICOS ecosystem stations
  publication-title: Int. Agrophys.
– volume: 16
  start-page: 1069
  year: 2013
  end-page: 1078
  ident: bb0100
  article-title: An empirical assessment of tree branching networks and implications for plant allometric scaling models
  publication-title: Ecol. Lett.
– volume: 10
  start-page: 382
  year: 2019
  ident: bb0705
  article-title: Examining changes in stem taper and volume growth with two-date 3D point clouds
  publication-title: For. Trees Livelihoods
– volume: 40
  start-page: 881
  year: 2019
  end-page: 911
  ident: bb0905
  article-title: Upscaling Forest biomass from field to satellite measurements: sources of errors and ways to reduce them
  publication-title: Surv. Geophys.
– volume: 106
  start-page: 7040
  year: 2009
  end-page: 7045
  ident: bb1195
  article-title: A general quantitative theory of forest structure and dynamics
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 53
  start-page: 5117
  year: 2015
  end-page: 5132
  ident: bb0660
  article-title: Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 148
  start-page: 208
  year: 2019
  end-page: 220
  ident: bb0690
  article-title: Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 8
  start-page: 20170052
  year: 2018
  ident: bb0730
  article-title: New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
  publication-title: Interface Focus
– volume: 13
  start-page: 1571
  year: 2016
  end-page: 1585
  ident: bb0850
  article-title: Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries
  publication-title: Biogeosciences
– volume: 45
  start-page: 38
  year: 2011
  ident: bb0450
  article-title: Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations
  publication-title: Silva Fenn.
– volume: 34
  start-page: 371
  year: 2020
  end-page: 380
  ident: bb0610
  article-title: Leaf orientation measurement in a mixed hemiboreal broadleaf forest stand using terrestrial laser scanner
  publication-title: Trees
– volume: 151
  start-page: 76
  year: 2019
  end-page: 90
  ident: bb1265
  article-title: Detecting and characterizing downed dead wood using terrestrial laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
– volume: 27
  start-page: 1035
  year: 2013
  end-page: 1047
  ident: bb0070
  article-title: Structural crown properties of Norway spruce (Picea abies [L.] Karst.) and European beech (Fagus sylvatica [L.]) in mixed versus pure stands revealed by terrestrial laser scanning
  publication-title: Trees
– volume: 568
  start-page: 1263
  year: 2016
  end-page: 1274
  ident: bb0570
  article-title: The Australian supersite network: a continental, long-term terrestrial ecosystem observatory
  publication-title: Sci. Total Environ.
– volume: 13
  start-page: 10
  year: 2018
  ident: bb1220
  article-title: Estimating urban above ground biomass with multi-scale LiDAR
  publication-title: Carbon Balance Manag.
– volume: 427
  start-page: 217
  year: 2018
  end-page: 229
  ident: bb1065
  article-title: Assessing terrestrial laser scanning for developing non-destructive biomass allometry
  publication-title: For. Ecol. Manag.
– volume: 107
  start-page: 22722
  year: 2010
  end-page: 22727
  ident: bb0955
  article-title: Hydraulic trade-offs and space filling enable better predictions of vascular structure and function in plants
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 30
  start-page: 848
  year: 2006
  end-page: 854
  ident: bb0325
  article-title: Thinning operations and their impact on biomass production in stands of Norway spruce and scots pine
  publication-title: Biomass Bioenergy
– volume: 7
  start-page: 4581
  year: 2015
  end-page: 4603
  ident: bb0005
  article-title: Analysis of geometric primitives in quantitative structure models of tree stems
  publication-title: Remote Sens.
– volume: 10
  start-page: 438
  year: 2019
  end-page: 445
  ident: bb0145
  article-title: Extracting individual trees from lidar point clouds using treeseg
  publication-title: Methods Ecol. Evol.
– volume: 203
  start-page: 158
  year: 2015
  end-page: 168
  ident: bb0170
  article-title: Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements
  publication-title: Agric. For. Meteorol.
– volume: 20
  start-page: 3177
  year: 2014
  end-page: 3190
  ident: bb0205
  article-title: Improved allometric models to estimate the aboveground biomass of tropical trees
  publication-title: Glob. Chang. Biol.
– volume: 9
  start-page: 673
  year: 2018
  ident: bb0740
  article-title: Analyzing the vertical distribution of crown material in mixed stand composed of two temperate tree species
  publication-title: For. Trees Livelihoods
– volume: 151
  start-page: 204
  year: 2011
  ident: 10.1016/j.rse.2020.112102_bb0770
  article-title: Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2010.10.005
– volume: 44
  start-page: 126441
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1080
  article-title: Effect of canopy structure on the performance of tree mapping methods in urban parks
  publication-title: Urban For. Urban Green.
  doi: 10.1016/j.ufug.2019.126441
– start-page: 269
  year: 1978
  ident: 10.1016/j.rse.2020.112102_bb0415
  article-title: Opportunistic tree architecture
  publication-title: Trop.Trees For.
  doi: 10.1007/978-3-642-81190-6_4
– volume: 89
  start-page: 102091
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1245
  article-title: Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 9
  start-page: 905
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0760
  article-title: Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: a comparison with traditional destructive approach
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.12933
– volume: 31
  start-page: 1723
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0525
  article-title: How management intensity and neighborhood composition affect the structure of beech (Fagus sylvatica L.) trees
  publication-title: Trees
  doi: 10.1007/s00468-017-1581-z
– volume: 10
  start-page: 172
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb1005
  article-title: Terrestrial laser scanning as a tool for assessing tree growth
  publication-title: iForest-Biogeosci. For.
  doi: 10.3832/ifor2138-009
– volume: 395
  start-page: 19
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0520
  article-title: Canopy space filling rather than conventional measures of structural diversity explains productivity of beech stands
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2017.03.036
– volume: 21
  start-page: 473
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0785
  article-title: The novel use of proximal photogrammetry and terrestrial LiDAR to quantify the structural complexity of orchard trees
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-019-09676-4
– start-page: 1653
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb1100
  article-title: DeepPose: human pose estimation via deep neural networks
– volume: 2509–2512
  year: 1999
  ident: 10.1016/j.rse.2020.112102_bb0110
  article-title: Modeling laser altimeter return waveforms over complex vegetation using high-resolution elevation data
  publication-title: Geophys. Res. Lett.
– volume: 134
  start-page: 211
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0745
  article-title: Validation of terrestrial laser scanning data using conventional forest inventory methods
  publication-title: Eur. J. For. Res.
  doi: 10.1007/s10342-014-0844-0
– start-page: 652
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0875
  article-title: PointNet: deep learning on point sets for 3D classification and segmentation
– volume: 58
  start-page: 92
  year: 1959
  ident: 10.1016/j.rse.2020.112102_bb1235
  article-title: Analysis of the spatial distribution of foliage by two-dimensional point quadrats
  publication-title: New Phytol.
  doi: 10.1111/j.1469-8137.1959.tb05340.x
– volume: 53
  start-page: 5117
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0660
  article-title: Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2015.2417316
– volume: 310
  start-page: 275
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0750
  article-title: Crown modeling by terrestrial laser scanning as an approach to assess the effect of aboveground intra- and interspecific competition on tree growth
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2013.08.014
– volume: 64
  start-page: 43
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1295
  article-title: Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 3
  start-page: 115
  year: 2012
  ident: 10.1016/j.rse.2020.112102_bb0565
  article-title: NEON terrestrial field observations: designing continental-scale, standardized sampling
  publication-title: Ecosphere
  doi: 10.1890/ES12-00196.1
– start-page: 49
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0815
  article-title: A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data
– volume: 13
  start-page: 1571
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0850
  article-title: Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries
  publication-title: Biogeosciences
  doi: 10.5194/bg-13-1571-2016
– volume: 10
  start-page: 382
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0705
  article-title: Examining changes in stem taper and volume growth with two-date 3D point clouds
  publication-title: For. Trees Livelihoods
– volume: 11
  start-page: 376
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1165
  article-title: LeWoS: a universal leaf-wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.13342
– volume: 123
  start-page: 1387
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0040
  article-title: Forest canopy structural complexity and light absorption relationships at the subcontinental scale
  publication-title: J. Geophys. Res. Biogeosci.
  doi: 10.1002/2017JG004256
– volume: 29
  start-page: 171
  year: 2009
  ident: 10.1016/j.rse.2020.112102_bb0545
  article-title: Estimating forest LAI profiles and structural parameters using a ground-based laser called Echidna
  publication-title: Tree Physiol.
  doi: 10.1093/treephys/tpn022
– volume: 10
  start-page: 680
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0115
  article-title: Leaf and wood classification framework for terrestrial LiDAR point clouds
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.13144
– start-page: 6620
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0910
  article-title: OctNet: learning deep 3D representations at high resolutions
– volume: 151
  start-page: 76
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1265
  article-title: Detecting and characterizing downed dead wood using terrestrial laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2019.03.007
– volume: 2
  start-page: 43
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1125
  article-title: Time for a plant structural economics spectrum
  publication-title: Front. For. Glob. Change
  doi: 10.3389/ffgc.2019.00043
– volume: 5
  start-page: 491
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0890
  article-title: Fast automatic precision tree models from terrestrial laser scanner data
  publication-title: Remote Sens.
  doi: 10.3390/rs5020491
– volume: 38
  start-page: 878
  year: 2008
  ident: 10.1016/j.rse.2020.112102_bb0195
  article-title: Assessing prediction errors of generalized tree biomass and volume equations for the boreal forest region of west-Central Canada
  publication-title: Can. J. For. Res.
  doi: 10.1139/x07-212
– volume: 11
  start-page: 1423
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1260
  article-title: Investigating the feasibility of multi-scan terrestrial laser scanning to characterize tree communities in southern boreal forests
  publication-title: Remote Sens.
  doi: 10.3390/rs11121423
– volume: 169
  start-page: 418
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb1205
  article-title: The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: actual canopy scenarios and conformity testing
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2015.08.016
– volume: 124
  start-page: 187
  year: 2005
  ident: 10.1016/j.rse.2020.112102_bb0540
  article-title: Effects of thinning on growth of six tree species in north-temperate forests of Lithuania
  publication-title: Eur. J. For. Res.
  doi: 10.1007/s10342-005-0070-x
– volume: 54
  start-page: 4314
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0575
  article-title: Marker-free registration of forest terrestrial laser scanner data pairs with embedded confidence metrics
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2016.2539219
– volume: 168
  start-page: 170
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1085
  article-title: Tree species classification using structural features derived from terrestrial laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2020.08.009
– volume: 52
  start-page: 67
  year: 2006
  ident: 10.1016/j.rse.2020.112102_bb0445
  article-title: Detailed stem measurements of standing trees from ground-based scanning Lidar
  publication-title: For. Sci.
– volume: 8
  start-page: 20170045
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0015
  article-title: Non-intersecting leaf insertion algorithm for tree structure models
  publication-title: Interface Focus
  doi: 10.1098/rsfs.2017.0045
– start-page: 4490
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1285
  article-title: VoxelNet: end-to-end learning for point cloud based 3D object detection
– volume: 5
  start-page: 263
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0025
  article-title: Creating vegetation density profiles for a diverse range of ecological habitats using terrestrial laser scanning
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.12157
– volume: 20
  start-page: 730
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0345
  article-title: Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient
  publication-title: Ecol. Lett.
  doi: 10.1111/ele.12771
– volume: 264
  start-page: 322
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0120
  article-title: New estimates of leaf angle distribution from terrestrial LiDAR: comparison with measured and modelled estimates from nine broadleaf tree species
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2018.10.021
– volume: 203
  start-page: 158
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0170
  article-title: Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2015.01.009
– year: 1981
  ident: 10.1016/j.rse.2020.112102_bb0925
– volume: 29
  start-page: 551
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb1175
  article-title: Analysis of wood density profiles of tree stems: incorporating vertical variations to optimize wood sampling strategies for density and biomass estimations
  publication-title: Trees
  doi: 10.1007/s00468-014-1134-7
– volume: 10
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0215
  article-title: Strata-based forest fuel classification for wild fire hazard assessment using terrestrial LiDAR
  publication-title: J. Appl. Remote. Sens.
  doi: 10.1117/1.JRS.10.046025
– volume: 456
  start-page: 117751
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0595
  article-title: Terrestrial laser scanning for non-destructive estimates of liana stem biomass
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2019.117751
– volume: 40
  start-page: 863
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0210
  article-title: Ground data are essential for biomass remote sensing missions
  publication-title: Surv. Geophys.
  doi: 10.1007/s10712-019-09528-w
– volume: 68
  start-page: 1173
  year: 2011
  ident: 10.1016/j.rse.2020.112102_bb0340
  article-title: Comparison of conventional eight-point crown projections with LIDAR-based virtual crown projections in a temperate old-growth forest
  publication-title: Ann. For. Sci.
  doi: 10.1007/s13595-011-0067-1
– volume: 16
  start-page: 20190116
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0510
  article-title: An architectural understanding of natural sway frequencies in trees
  publication-title: J. R. Soc. Interface
  doi: 10.1098/rsif.2019.0116
– volume: 97
  start-page: 61
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0220
  article-title: Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2017.07.007
– volume: 8
  start-page: 735
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0990
  article-title: Relationship between tree growth and physical dimensions of Fagus sylvatica crowns assessed from terrestrial laser scanning
  publication-title: iForest - Biogeosci. For.
  doi: 10.3832/ifor1566-008
– volume: 10
  start-page: 2001
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0765
  article-title: Leveraging signatures of plant functional strategies in wood density profiles of African trees to correct mass estimations from terrestrial laser data
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-020-58733-w
– volume: 20
  start-page: 7119
  year: 2012
  ident: 10.1016/j.rse.2020.112102_bb0410
  article-title: Full waveform hyperspectral LiDAR for terrestrial laser scanning
  publication-title: Opt. Express
  doi: 10.1364/OE.20.007119
– year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1225
  article-title: Rapid characterisation of fine scale branch structure using terrestrial LiDAR
– volume: 10
  start-page: 1279
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0335
  article-title: Application and validation of long-range terrestrial laser scanning to monitor the mass balance of very small glaciers in the Swiss Alps
  publication-title: Cryosphere
  doi: 10.5194/tc-10-1279-2016
– volume: 222
  start-page: 1736
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0265
  article-title: Terrestrial LiDAR: a three-dimensional revolution in how we look at trees
  publication-title: New Phytol.
  doi: 10.1111/nph.15517
– volume: 235
  start-page: 111474
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0870
  article-title: Variability of wood properties using airborne and terrestrial laser scanning
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2019.111474
– volume: 40
  start-page: 881
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0905
  article-title: Upscaling Forest biomass from field to satellite measurements: sources of errors and ways to reduce them
  publication-title: Surv. Geophys.
  doi: 10.1007/s10712-019-09532-0
– volume: 268
  start-page: 249
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0970
  article-title: Quantifying 3D structure and occlusion in dense tropical and temperate forests using close-range LiDAR
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2019.01.033
– volume: 203
  start-page: 21
  year: 2004
  ident: 10.1016/j.rse.2020.112102_bb0725
  article-title: Thinning intensity and long-term changes in increment and stem form of scots pine trees
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2004.07.028
– volume: 8
  start-page: 20170049
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0250
  article-title: Spectral and spatial information from a novel dual-wavelength full-waveform terrestrial laser scanner for forest ecology
  publication-title: Interface Focus
  doi: 10.1098/rsfs.2017.0049
– volume: 65
  start-page: 514
  year: 2010
  ident: 10.1016/j.rse.2020.112102_bb0505
  article-title: A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2010.08.002
– volume: 9
  start-page: 223
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0370
  article-title: Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.12904
– volume: 276
  start-page: 122
  year: 1997
  ident: 10.1016/j.rse.2020.112102_bb1190
  article-title: A general model for the origin of allometric scaling laws in biology
  publication-title: Science
  doi: 10.1126/science.276.5309.122
– volume: 11
  start-page: 2311
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0305
  article-title: Four dimensional mapping of vegetation moisture content using dual-wavelength terrestrial laser scanning
  publication-title: Remote Sens.
  doi: 10.3390/rs11192311
– volume: 11
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0240
  article-title: African savanna-Forest boundary dynamics: a 20-year study
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0156934
– volume: 151
  start-page: 1252
  year: 2011
  ident: 10.1016/j.rse.2020.112102_bb0075
  article-title: Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2011.05.004
– volume: 8
  start-page: 942
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb1280
  article-title: A novel approach for retrieving tree leaf area from ground-based LiDAR
  publication-title: Remote Sens.
  doi: 10.3390/rs8110942
– volume: 10
  start-page: 486
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0855
  article-title: A clustering framework for monitoring circadian rhythm in structural dynamics in plants from terrestrial laser scanning time series
  publication-title: Front. Plant Sci.
  doi: 10.3389/fpls.2019.00486
– volume: 99
  start-page: 130
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0460
  article-title: On the relation between tree crown morphology and particulate matter deposition on urban tree leaves: a ground-based LiDAR approach
  publication-title: Atmos. Environ.
  doi: 10.1016/j.atmosenv.2014.09.031
– volume: 405
  start-page: 381
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0055
  article-title: Terrestrial laser scanning reveals differences in crown structure of Fagus sylvatica in mixed vs. pure European forests
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2017.09.043
– start-page: 1
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0590
  article-title: Improved supervised learning-based approach for leaf and wood classification From LiDAR point clouds of forests
  publication-title: IEEE Trans. Geosci. Remote Sens.
– volume: 264
  start-page: 188
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0600
  article-title: Beyond the cones: how crown shape plasticity alters aboveground competition for space and light—evidence from terrestrial laser scanning
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2018.09.016
– volume: 50
  start-page: 661
  year: 2012
  ident: 10.1016/j.rse.2020.112102_bb0655
  article-title: Automatic stem mapping using single-scan terrestrial laser scanning
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2011.2161613
– volume: 2
  start-page: 174
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0825
  article-title: Observing ecosystems with lightweight, rapid-scanning terrestrial lidar scanners
  publication-title: Remote. Sens. Ecol. Conserv.
  doi: 10.1002/rse2.26
– volume: 154-155
  start-page: 1
  year: 2012
  ident: 10.1016/j.rse.2020.112102_bb0985
  article-title: Analyzing forest canopies with ground-based laser scanning: a comparison with hemispherical photography
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2011.10.006
– volume: 2
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0895
  article-title: Massive-scale tree modelling from TLS data
– volume: 15
  start-page: 289
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1255
  article-title: The effects of tree characteristics on rainfall interception in urban areas
  publication-title: Landsc. Ecol. Eng.
  doi: 10.1007/s11355-019-00383-w
– start-page: 5099
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0880
  article-title: PointNet++: Deep hierarchical feature learning on point sets in a metric space
– volume: 12
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb1105
  article-title: 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0176871
– volume: 16
  start-page: 313
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0640
  article-title: Radiometric calibration of a dual-wavelength, full-waveform terrestrial Lidar
  publication-title: Sensors
  doi: 10.3390/s16030313
– volume: 29
  start-page: 1579
  year: 2008
  ident: 10.1016/j.rse.2020.112102_bb0710
  article-title: Automatic forest inventory parameter determination from terrestrial laser scanner data
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431160701736406
– volume: 54
  start-page: 68
  year: 1999
  ident: 10.1016/j.rse.2020.112102_bb1185
  article-title: Airborne laser scanning - an introduction and overview
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/S0924-2716(99)00011-8
– volume: 1
  start-page: 100002
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0290
  article-title: The global ecosystem dynamics investigation: high-resolution laser ranging of the earth’s forests and topography
  publication-title: Sci. Remote Sens.
  doi: 10.1016/j.srs.2020.100002
– volume: 10
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0060
  article-title: Wood specific gravity variations and biomass of Central African tree species: the simple choice of the outer wood
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0142146
– volume: 52
  start-page: 7619
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb1140
  article-title: Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR data
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2014.2315649
– volume: 9
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1015
  article-title: Variability in fire-induced change to vegetation physiognomy and biomass in semi-arid savanna
  publication-title: Ecosphere
  doi: 10.1002/ecs2.2514
– volume: 145
  start-page: 87
  year: 2005
  ident: 10.1016/j.rse.2020.112102_bb0200
  article-title: Tree allometry and improved estimation of carbon stocks and balance in tropical forests
  publication-title: Oecologia
  doi: 10.1007/s00442-005-0100-x
– volume: 110
  start-page: 14
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb1290
  article-title: 3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2015.10.001
– volume: 107
  start-page: 22722
  year: 2010
  ident: 10.1016/j.rse.2020.112102_bb0955
  article-title: Hydraulic trade-offs and space filling enable better predictions of vascular structure and function in plants
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.1012194108
– start-page: 136
  year: 2006
  ident: 10.1016/j.rse.2020.112102_bb0555
  article-title: Calibration for increased accuracy of the range imaging camera swissranger
– volume: 132
  start-page: 32
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0355
  article-title: The potential of dual-wavelength laser scanning for estimating vegetation moisture content
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2013.01.001
– volume: 439
  start-page: 132
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0625
  article-title: Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2019.02.019
– volume: 75
  start-page: 163
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0330
  article-title: Estimating residual biomass of olive tree crops using terrestrial laser scanning
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 10
  start-page: 933
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0180
  article-title: Realistic forest stand reconstruction from terrestrial LiDAR for radiative transfer modelling
  publication-title: Remote Sens.
  doi: 10.3390/rs10060933
– volume: 45
  start-page: 38
  year: 2011
  ident: 10.1016/j.rse.2020.112102_bb0450
  article-title: Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations
  publication-title: Silva Fenn.
  doi: 10.14214/sf.38
– volume: 142
  start-page: 155
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb1200
  article-title: Abstract tree crowns in 3D radiative transfer models: impact on simulated open-canopy reflectances
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2013.11.016
– volume: 34
  start-page: 573
  year: 2004
  ident: 10.1016/j.rse.2020.112102_bb0470
  article-title: Assessing forest metrics with a ground-based scanning lidar
  publication-title: Can. J. For. Res.
  doi: 10.1139/x03-225
– volume: 152
  start-page: 235
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0965
  article-title: Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2014.06.015
– volume: 27
  start-page: 1035
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0070
  article-title: Structural crown properties of Norway spruce (Picea abies [L.] Karst.) and European beech (Fagus sylvatica [L.]) in mixed versus pure stands revealed by terrestrial laser scanning
  publication-title: Trees
  doi: 10.1007/s00468-013-0854-4
– volume: 201
  start-page: 217
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb1030
  article-title: Deviation from symmetrically self-similar branching in trees predicts altered hydraulics, mechanics, light interception and metabolic scaling
  publication-title: New Phytol.
  doi: 10.1111/nph.12487
– volume: 20
  start-page: 3177
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0205
  article-title: Improved allometric models to estimate the aboveground biomass of tropical trees
  publication-title: Glob. Chang. Biol.
  doi: 10.1111/gcb.12629
– start-page: 3
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0635
  article-title: Terrestrial laser scanning in the age of sensing
– volume: 6
  start-page: 20
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0675
  article-title: Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements
  publication-title: For. Ecosyst.
  doi: 10.1186/s40663-019-0173-3
– volume: 41
  start-page: 755
  year: 2004
  ident: 10.1016/j.rse.2020.112102_bb0820
  article-title: A portable LIDAR system for rapid determination of forest canopy structure
  publication-title: J. Appl. Ecol.
  doi: 10.1111/j.0021-8901.2004.00925.x
– volume: 11
  start-page: 3527
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1055
  article-title: Improved biomass calibration and validation with terrestrial LiDAR: implications for future LiDAR and SAR missions
  publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
  doi: 10.1109/JSTARS.2018.2803110
– volume: 16
  start-page: 1069
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0100
  article-title: An empirical assessment of tree branching networks and implications for plant allometric scaling models
  publication-title: Ecol. Lett.
  doi: 10.1111/ele.12127
– volume: 93
  start-page: 75
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0530
  article-title: Effect of tree species mixing on stand structural complexity
  publication-title: Forestry
– volume: 247
  start-page: 111932
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1170
  article-title: Direct estimation of photon recollision probability using terrestrial laser scanning
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2020.111932
– volume: 14
  start-page: 14994
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0235
  article-title: Automated in-situ laser scanner for monitoring forest leaf area index
  publication-title: Sensors
  doi: 10.3390/s140814994
– volume: 148
  start-page: 208
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0690
  article-title: Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2019.01.005
– volume: 24
  start-page: 680
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0380
  article-title: The importance of crown dimensions to improve tropical tree biomass estimates
  publication-title: Ecol. Appl.
  doi: 10.1890/13-0070.1
– volume: 191
  start-page: 373
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0390
  article-title: Estimation of 3D vegetation density with terrestrial laser scanning data using voxels. A sensitivity analysis of influencing parameters
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2017.01.032
– volume: 106
  start-page: 7040
  year: 2009
  ident: 10.1016/j.rse.2020.112102_bb1195
  article-title: A general quantitative theory of forest structure and dynamics
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.0812294106
– volume: 449
  start-page: 218
  year: 2007
  ident: 10.1016/j.rse.2020.112102_bb0315
  article-title: A general integrative model for scaling plant growth, carbon flux, and functional trait spectra
  publication-title: Nature
  doi: 10.1038/nature06061
– start-page: 6
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0190
  article-title: 3D imaging insights into forests and coral reefs
  publication-title: Trends Ecol. Evol.
  doi: 10.1016/j.tree.2019.10.004
– volume: 450
  start-page: 117484
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0090
  article-title: On promoting the use of lidar systems in forest ecosystem research
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2019.117484
– volume: 18
  start-page: 676
  year: 2009
  ident: 10.1016/j.rse.2020.112102_bb0695
  article-title: Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics. Int. J
  publication-title: Wildland Fire
  doi: 10.1071/WF07138
– volume: 13
  start-page: 10
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1220
  article-title: Estimating urban above ground biomass with multi-scale LiDAR
  publication-title: Carbon Balance Manag.
  doi: 10.1186/s13021-018-0098-0
– volume: 427
  start-page: 217
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1065
  article-title: Assessing terrestrial laser scanning for developing non-destructive biomass allometry
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2018.06.004
– volume: 165
  start-page: 86
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1155
  article-title: Unsupervised semantic and instance segmentation of forest point clouds
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2020.04.020
– start-page: 17
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0130
  article-title: Comparing RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR
  publication-title: Sensors
– volume: 6
  start-page: 3906
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0550
  article-title: Change detection of tree biomass with terrestrial laser scanning and quantitative structure modelling
  publication-title: Remote Sens.
  doi: 10.3390/rs6053906
– volume: 19
  start-page: 1684
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1230
  article-title: Assessing understory complexity in beech-dominated forests (Fagus sylvatica L.) in Central Europe—from managed to primary forests
  publication-title: Sensors
  doi: 10.3390/s19071684
– volume: 1–22
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0275
  article-title: Innovations in ground and airborne technologies as reference and for training and validation: terrestrial laser scanning (TLS)
  publication-title: Surv. Geophys.
– volume: 8
  start-page: 679
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb1150
  article-title: An assessment of pre- and post fire near surface fuel Hazard in an Australian dry Sclerophyll Forest using point cloud data captured using a terrestrial laser scanner
  publication-title: Remote Sens.
  doi: 10.3390/rs8080679
– volume: 61
  start-page: 963
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0350
  article-title: Lidar measurement of surface melt for a temperate Alpine glacier at the seasonal and hourly scales
  publication-title: J. Glaciol.
  doi: 10.3189/2015JoG14J226
– volume: 106
  start-page: 7046
  year: 2009
  ident: 10.1016/j.rse.2020.112102_bb0320
  article-title: Extensions and evaluations of a general quantitative theory of forest structure and dynamics
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.0812303106
– volume: 11
  start-page: 509
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0835
  article-title: Characterizing a New England saltmarsh with NASA G-LiHT airborne Lidar
  publication-title: Remote Sens.
  doi: 10.3390/rs11050509
– volume: 51
  start-page: 679
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0050
  article-title: Single-tree detection in high-density LiDAR data from UAV-based survey
  publication-title: Eur. J. Remote Sens.
  doi: 10.1080/22797254.2018.1474722
– volume: 1
  start-page: 934
  year: 2009
  ident: 10.1016/j.rse.2020.112102_bb0485
  article-title: LiDAR utility for natural resource managers
  publication-title: Remote Sens.
  doi: 10.3390/rs1040934
– volume: 55
  start-page: 2716
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0175
  article-title: Evaluation of the range accuracy and the radiometric calibration of multiple terrestrial laser scanning instruments for data interoperability
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2017.2652721
– volume: 40
  start-page: 959
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0580
  article-title: New opportunities for forest remote sensing through ultra-high-density drone Lidar
  publication-title: Surv. Geophys.
  doi: 10.1007/s10712-019-09529-9
– volume: 424
  start-page: 519
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0950
  article-title: Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2018.04.054
– volume: 34
  start-page: 2144
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0805
  article-title: Single tree species classification from terrestrial laser scanning data for forest inventory
  publication-title: Pattern Recogn. Lett.
  doi: 10.1016/j.patrec.2013.08.004
– start-page: 1713
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0420
  article-title: Deep semantic instance segmentation of tree-like structures using synthetic data
– volume: 184
  start-page: 82
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0080
  article-title: On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2013.09.005
– volume: 12
  start-page: 776
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0285
  article-title: Finding leaves in the forest: the dual-wavelength Echidna Lidar
  publication-title: IEEE Geosci. Remote Sens. Lett.
  doi: 10.1109/LGRS.2014.2361812
– volume: 52
  start-page: 7160
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb1145
  article-title: An assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2014.2308208
– volume: 231
  start-page: 111264
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0535
  article-title: The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation – leaf water content as a proxy
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2019.111264
– volume: 50
  start-page: 126653
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0045
  article-title: Quantifying urban forest structure with open-access remote sensing data sets
  publication-title: Urban For. Urban Green.
  doi: 10.1016/j.ufug.2020.126653
– volume: 9
  start-page: 309
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1270
  article-title: Multisensorial close-range sensing generates benefits for characterization of managed scots Pine (Pinus sylvestris L.) Stands
  publication-title: ISPRS Int. J. Geo-Informa.
  doi: 10.3390/ijgi9050309
– volume: 363
  start-page: 31
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0995
  article-title: Canopy gaps affect the shape of Douglas-fir crowns in the western cascades, Oregon
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2015.12.024
– volume: 26
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0915
  article-title: A review of thinning effects on scots pine stands: from growth and yield to new challenges under global change
  publication-title: For. Syst.
– volume: 63
  start-page: 115
  year: 2008
  ident: 10.1016/j.rse.2020.112102_bb0140
  article-title: CAMPINO—A skeletonization method for point cloud processing
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2007.10.004
– volume: 4
  year: 2005
  ident: 10.1016/j.rse.2020.112102_bb1305
  article-title: Biomass and stem volume equations for tree species in Europe
  publication-title: Silva Fennica Monogr.
– volume: 348
  start-page: 108
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0405
  article-title: Mechanical abrasion, and not competition for light, is the dominant canopy interaction in a temperate mixed forest
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2015.03.019
– start-page: 3859
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1010
  article-title: 3d point cloud generative adversarial network based on tree structured graph convolutions
– start-page: 44
  year: 1970
  ident: 10.1016/j.rse.2020.112102_bb1035
  article-title: Vegetation
– start-page: 656
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1115
  article-title: Standardizing ecosystem morphological traits from 3D information sources
  publication-title: Trends Ecol. Evol.
  doi: 10.1016/j.tree.2020.03.006
– volume: 12
  start-page: 1647
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1240
  article-title: Suitability of airborne and terrestrial laser scanning for mapping tree crop structural metrics for improved orchard management
  publication-title: Remote Sens.
  doi: 10.3390/rs12101647
– volume: 194
  start-page: 104
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0160
  article-title: Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2014.03.022
– volume: 161
  start-page: 246
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0495
  article-title: Accurate derivation of stem curve and volume using backpack mobile laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2020.01.018
– year: 2010
  ident: 10.1016/j.rse.2020.112102_bb0800
– volume: 5
  start-page: 753
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0280
  article-title: Examining forest structure with terrestrial Lidar: suggestions and novel techniques based on comparisons between scanners and Forest treatments
  publication-title: Life Support Biosph. Sci.
– volume: 9
  start-page: 1154
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb1210
  article-title: A case study of UAS borne laser scanning for measurement of tree stem diameter
  publication-title: Remote Sens.
  doi: 10.3390/rs9111154
– volume: 121
  start-page: 19
  year: 2004
  ident: 10.1016/j.rse.2020.112102_bb0515
  article-title: Review of methods for in situ leaf area index determination: part I. Theories, sensors and hemispherical photography
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2003.08.027
– volume: 7
  start-page: 1877
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb1045
  article-title: Terrestrial laser scanning as an effective tool to retrieve tree level height, crown width, and stem diameter
  publication-title: Remote Sens.
  doi: 10.3390/rs70201877
– volume: 10
  start-page: 848
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0940
  article-title: Assessing the effects of sample size on parametrizing a taper curve equation and the resultant stem-volume estimates
  publication-title: Forests
  doi: 10.3390/f10100848
– volume: 18
  start-page: 3357
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0225
  article-title: A simulation study using terrestrial LiDAR point cloud data to quantify spectral variability of a broad-leaved Forest canopy
  publication-title: Sensors
  doi: 10.3390/s18103357
– volume: 568
  start-page: 1263
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0570
  article-title: The Australian supersite network: a continental, long-term terrestrial ecosystem observatory
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2016.05.170
– volume: 8
  start-page: 117
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb1110
  article-title: The effect of wind on tree stem parameter estimation using terrestrial laser scanning
  publication-title: ISPRS Ann. Photogramm. , Remote Sens. Spatial Inf. Sci
  doi: 10.5194/isprs-annals-III-8-117-2016
– volume: 9
  start-page: 252
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1160
  article-title: Separating tree photosynthetic and non-photosynthetic components from point cloud data using dynamic segment merging
  publication-title: For. Trees Livelihoods
– volume: 10
  start-page: 438
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0145
  article-title: Extracting individual trees from lidar point clouds using treeseg
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.13121
– volume: 2
  start-page: 32
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1000
  article-title: The world’s tallest tropical tree in three dimensions
  publication-title: Front. For. Glob. Change
  doi: 10.3389/ffgc.2019.00032
– volume: 7
  start-page: 266
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0480
  article-title: Estimating overwintering monarch butterfly populations using terrestrial LiDAR scanning
  publication-title: Front. Ecol. Evol.
  doi: 10.3389/fevo.2019.00266
– volume: 2
  year: 2008
  ident: 10.1016/j.rse.2020.112102_bb0630
  article-title: Volume estimates of trees with complex architecture from terrestrial laser scanning
  publication-title: J. Appl. Remote. Sens.
– volume: 4
  start-page: 344
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb1275
  article-title: Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds
  publication-title: Remote Sens. Lett.
  doi: 10.1080/2150704X.2012.734931
– year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1050
  article-title: Illuminating den-tree selection by an arboreal mammal using terrestrial laser scanning in northern Australia
  publication-title: Remote. Sens. Ecol. Conser.
– start-page: 289
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0260
  article-title: Remote sensing of vegetation: Potentials, limitations, developments and applications
– volume: 90
  start-page: 102070
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1020
  article-title: Moving from plot-based to hillslope-scale assessments of savanna vegetation structure with long-range terrestrial laser scanning (LR-TLS)
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 8
  start-page: 6800
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0455
  article-title: A high-resolution approach for the spatiotemporal analysis of forest canopy space using terrestrial laser scanning data
  publication-title: Ecol. Evol.
  doi: 10.1002/ece3.4193
– volume: 75
  start-page: 64
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0560
  article-title: Individual tree biomass estimation using terrestrial laser scanning
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2012.10.003
– volume: 50
  start-page: 675
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0755
  article-title: Structure-preserving shape completion of 3D point clouds with generative adversarial network
  publication-title: Sci. Sin. Informa.
  doi: 10.1360/SSI-2019-0096
– volume: II-5
  start-page: 43
  issue: W2
  year: 2013
  ident: 10.1016/j.rse.2020.112102_bb0095
  article-title: Processing tree point clouds using Gaussian mixture models. ISPRS annals of photogrammetry
  publication-title: Remote Sens. Spatial Informa. Sci.
– volume: 114
  start-page: 2229
  year: 2010
  ident: 10.1016/j.rse.2020.112102_bb0300
  article-title: Simultaneous measurements of plant structure and chlorophyll content in broadleaf saplings with a terrestrial laser scanner
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2010.04.025
– volume: 11
  start-page: 344
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0500
  article-title: Estimation of leaf inclination angle in three-dimensional plant images obtained from Lidar
  publication-title: Remote Sens.
  doi: 10.3390/rs11030344
– volume: 92
  start-page: 177
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0865
  article-title: Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds
  publication-title: Forestry Int. J. For. Res.
– volume: 7
  start-page: 299
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0975
  article-title: Radiometric calibration of a dual-wavelength terrestrial laser scanner using neural networks
  publication-title: Remote Sens. Lett.
  doi: 10.1080/2150704X.2015.1134843
– volume: 318
  start-page: 304
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb1040
  article-title: Multi-temporal terrestrial laser scanning for modeling tree biomass change
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2014.01.038
– start-page: 945
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb1075
  article-title: Multi-view convolutional neural networks for 3D shape recognition
– volume: 196
  start-page: 140
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb1215
  article-title: Data acquisition considerations for terrestrial laser scanning of forest plots
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2017.04.030
– volume: 34
  start-page: 371
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0610
  article-title: Leaf orientation measurement in a mixed hemiboreal broadleaf forest stand using terrestrial laser scanner
  publication-title: Trees
  doi: 10.1007/s00468-019-01922-6
– volume: 15
  start-page: 8
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb1130
  article-title: Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations
  publication-title: Carbon Balance Manag.
  doi: 10.1186/s13021-020-00143-6
– volume: 32
  start-page: 1219
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0615
  article-title: Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling
  publication-title: Trees
  doi: 10.1007/s00468-018-1704-1
– volume: 158
  start-page: 207
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0960
  article-title: Advanced radiometry measurements and earth science applications with the airborne prism experiment (APEX)
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2014.11.014
– year: 2012
  ident: 10.1016/j.rse.2020.112102_bb0790
– volume: 8
  start-page: 20170039
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0645
  article-title: On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements
  publication-title: Interface Focus
  doi: 10.1098/rsfs.2017.0039
– volume: 263
  start-page: 276
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1300
  article-title: Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2018.08.026
– volume: 474
  start-page: 118344
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0945
  article-title: Assessing the effects of thinning on stem growth allocation of individual scots pine trees
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2020.118344
– volume: 144
  start-page: 137
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0670
  article-title: International benchmarking of terrestrial laser scanning approaches for forest inventories
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2018.06.021
– volume: 12
  start-page: 191
  year: 2003
  ident: 10.1016/j.rse.2020.112102_bb0030
  article-title: Global synthesis of leaf area index observations: implications for ecological and remote sensing studies
  publication-title: Glob. Ecol. Biogeogr.
  doi: 10.1046/j.1466-822X.2003.00026.x
– volume: 191
  start-page: 1
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0010
  article-title: Automatic tree species recognition with quantitative structure models
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2016.12.002
– volume: 8
  start-page: 20170048
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0270
  article-title: Weighing trees with lasers: advances, challenges and opportunities
  publication-title: Interface Focus
  doi: 10.1098/rsfs.2017.0048
– year: 2003
  ident: 10.1016/j.rse.2020.112102_bb1025
– volume: 3
  start-page: 12
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0150
  article-title: Assessment of bias in pan-tropical biomass predictions
  publication-title: Front. For. Glob. Change
  doi: 10.3389/ffgc.2020.00012
– volume: 200
  start-page: 31
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb1060
  article-title: Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2017.08.013
– volume: 20
  start-page: 265
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0465
  article-title: Influence of tree crown characteristics on the local PM10 distribution inside an urban street canyon in Antwerp (Belgium): a model and experimental approach
  publication-title: Urban For. Urban Green.
  doi: 10.1016/j.ufug.2016.09.013
– volume: 11
  start-page: 3598
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0860
  article-title: Quantitative assessment of scots pine (Pinus Sylvestris L.) whorl structure in a forest environment using terrestrial laser scanning
  publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
  doi: 10.1109/JSTARS.2018.2819598
– volume: 9
  start-page: 704
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0360
  article-title: Long-term abandonment of Forest management has a strong impact on tree morphology and wood volume allocation pattern of European beech (Fagus sylvatica L.)
  publication-title: Forests
  doi: 10.3390/f9110704
– volume: 8
  start-page: 20170052
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0730
  article-title: New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
  publication-title: Interface Focus
  doi: 10.1098/rsfs.2017.0052
– year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0375
– year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0125
– volume: 1
  start-page: 239
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0795
  article-title: Terrestrial laser scanning for plot-scale forest measurement
  publication-title: Curr. For. Rep.
  doi: 10.1007/s40725-015-0025-5
– volume: 269-270
  start-page: 157
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0720
  article-title: Terrestrial lidar scanning reveals fine-scale linkages between microstructure and photosynthetic functioning of small-stature spruce trees at the forest-tundra ecotone
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2019.02.019
– volume: 115
  start-page: 63
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0665
  article-title: Terrestrial laser scanning in forest inventories
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2016.01.006
– volume: 147
  start-page: 294
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0845
  article-title: Measuring stem diameters with TLS in boreal forests by complementary fitting procedure
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2018.11.027
– volume: 9
  start-page: 395
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0105
  article-title: Comparison and combination of Mobile and terrestrial laser scanning for natural Forest inventories
  publication-title: Forests
  doi: 10.3390/f9070395
– volume: 10
  start-page: 537
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1090
  article-title: A novel tree height extraction approach for individual trees by combining TLS and UAV image-based point cloud integration
  publication-title: Forests
  doi: 10.3390/f10070537
– volume: 154
  start-page: 114
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0585
  article-title: Semi-automatic extraction of liana stems from terrestrial LiDAR point clouds of tropical rainforests
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2019.05.011
– volume: 53
  start-page: 162
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0440
  article-title: Empirical waveform decomposition and radiometric calibration of a terrestrial full-waveform laser scanner
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2014.2320134
– volume: 29
  start-page: 607
  year: 2003
  ident: 10.1016/j.rse.2020.112102_bb0700
  article-title: Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests
  publication-title: Can. J. Remote. Sens.
  doi: 10.5589/m03-026
– volume: 10
  start-page: 1215
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb1250
  article-title: Filtering stems and branches from terrestrial laser scanning point clouds using deep 3-D fully convolutional networks
  publication-title: Remote Sens.
  doi: 10.3390/rs10081215
– volume: 10
  start-page: 527
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0620
  article-title: Tree biomass equations from terrestrial LiDAR: a case study in Guyana
  publication-title: Forests
  doi: 10.3390/f10060527
– volume: 103
  start-page: 782
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0490
  article-title: Tree defoliation classification based on point distribution features derived from single-scan terrestrial laser scanning data
  publication-title: Ecol. Indic.
  doi: 10.1016/j.ecolind.2019.03.036
– volume: 201
  start-page: 344
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0715
  article-title: Assessing leaf photoprotective mechanisms using terrestrial LiDAR: towards mapping canopy photosynthetic performance in three dimensions
  publication-title: New Phytol.
  doi: 10.1111/nph.12453
– start-page: 119
  year: 1995
  ident: 10.1016/j.rse.2020.112102_bb1180
  article-title: Creation and rendering of realistic trees
– volume: 4
  start-page: 1519
  year: 2012
  ident: 10.1016/j.rse.2020.112102_bb1135
  article-title: Development of a UAV-LiDAR system with application to forest inventory
  publication-title: Remote Sens.
  doi: 10.3390/rs4061519
– volume: 6
  start-page: 777
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0685
  article-title: Indirect emissions of forest bioenergy: detailed modeling of stump-root systems
  publication-title: GCB Bioenergy
  doi: 10.1111/gcbb.12091
– volume: 10
  start-page: 540
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0155
  article-title: Comparing terrestrial laser scanning (TLS) and wearable laser scanning (WLS) for individual tree modeling at plot level
  publication-title: Remote Sens.
  doi: 10.3390/rs10040540
– volume: 32
  start-page: 645
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0365
  article-title: Ancillary vegetation measurements at ICOS ecosystem stations
  publication-title: Int. Agrophys.
  doi: 10.1515/intag-2017-0048
– volume: 5
  start-page: 1032
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0930
  article-title: Urban-tree-attribute update using multisource single-tree inventory
  publication-title: Forests
  doi: 10.3390/f5051032
– volume: 51
  start-page: 184
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0085
  article-title: A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2013.09.034
– volume: 252
  start-page: 231
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0185
  article-title: Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2018.01.029
– volume: 429
  start-page: 327
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0255
  article-title: Assessing the structural differences between tropical forest types using terrestrial laser scanning
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2018.07.032
– volume: 5
  start-page: 13
  year: 2010
  ident: 10.1016/j.rse.2020.112102_bb0020
  article-title: Deep machine learning - a new frontier in artificial intelligence research [research frontier]
  publication-title: IEEE Comput. Intell. Mag.
  doi: 10.1109/MCI.2010.938364
– start-page: 294
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0435
  article-title: The GEDI simulator: a large-footprint waveform lidar simulator for calibration and validation of spaceborne missions
  publication-title: Earth Space Sci.
  doi: 10.1029/2018EA000506
– volume: 19
  start-page: 2
  year: 1999
  ident: 10.1016/j.rse.2020.112102_bb0680
  article-title: Interactive modelling of plants
  publication-title: IEEE Comput. Graph. Appl.
  doi: 10.1109/38.736469
– volume: 8
  start-page: 20170043
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0830
  article-title: Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems
  publication-title: Interface Focus
  doi: 10.1098/rsfs.2017.0043
– volume: 6
  start-page: 198
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0165
  article-title: Nondestructive estimates of above-ground biomass using terrestrial laser scanning
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.12301
– volume: 38
  start-page: 2954
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0395
  article-title: An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2017.1285083
– volume: 11
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0810
  article-title: Estimating tropical forest structure using a terrestrial Lidar
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0154115
– volume: 34
  start-page: 33
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb1120
  article-title: Effects on stem growth of scots pine 33 years after thinning and/or fertilization in northern Sweden
  publication-title: Scand. J. For. Res.
  doi: 10.1080/02827581.2018.1545920
– volume: 7
  start-page: 127
  year: 2016
  ident: 10.1016/j.rse.2020.112102_bb0065
  article-title: Forest inventory with terrestrial LiDAR: a comparison of static and hand-held mobile laser scanning
  publication-title: Forests
  doi: 10.3390/f7060127
– volume: 2015
  start-page: 105
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0385
  article-title: First examples from the RIEGL VUX-SYS for forestry applications
  publication-title: Proceed. SilviLaser
– volume: 189-190
  start-page: 105
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0425
  article-title: Characterising forest gap fraction with terrestrial lidar and photography: an examination of relative limitations
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2014.01.012
– volume: 215
  start-page: 343
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0840
  article-title: Estimators and confidence intervals for plant area density at voxel scale with T-LiDAR
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2018.06.024
– volume: 113
  start-page: 1067
  year: 2009
  ident: 10.1016/j.rse.2020.112102_bb0230
  article-title: The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2009.01.017
– volume: 227
  start-page: 44
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0885
  article-title: The European Space Agency BIOMASS mission: measuring forest above-ground biomass from space
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2019.03.032
– volume: 188
  start-page: 37
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0430
  article-title: Measurement of fine-spatial-resolution 3D vegetation structure with airborne waveform lidar: calibration and validation with voxelised terrestrial lidar
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2016.10.041
– volume: 115
  start-page: 2850
  year: 2011
  ident: 10.1016/j.rse.2020.112102_bb1095
  article-title: The BIOMASS mission: mapping global forest biomass to better understand the terrestrial carbon cycle
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2011.03.020
– start-page: 1610
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0920
  article-title: The NASA-ISRO SAR mission - An international space partnership for science and societal benefit
– volume: 6
  start-page: 4245
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0400
  article-title: SimpleTree—an efficient open source tool to build tree models from TLS clouds
  publication-title: Forests
  doi: 10.3390/f6114245
– volume: 10
  start-page: 1735
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0900
  article-title: Identifying tree-related microhabitats in TLS point clouds using machine learning
  publication-title: Remote Sens.
  doi: 10.3390/rs10111735
– volume: 7
  start-page: 4581
  year: 2015
  ident: 10.1016/j.rse.2020.112102_bb0005
  article-title: Analysis of geometric primitives in quantitative structure models of tree stems
  publication-title: Remote Sens.
  doi: 10.3390/rs70404581
– volume: 40
  start-page: 979
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0295
  article-title: The importance of consistent global Forest aboveground biomass product validation
  publication-title: Surv. Geophys.
  doi: 10.1007/s10712-019-09538-8
– volume: 9
  start-page: 2057
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0035
  article-title: Quantifying vegetation and canopy structural complexity from terrestrial LiDAR data using the forestr r package
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/2041-210X.13061
– volume: 276-277
  start-page: 107627
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0310
  article-title: Three dimensional mapping of forest canopy equivalent water thickness using dual-wavelength terrestrial laser scanning
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2019.107627
– volume: 44
  start-page: 3610
  year: 2006
  ident: 10.1016/j.rse.2020.112102_bb0475
  article-title: Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning Lidar
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2006.881743
– start-page: 7760
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0650
  article-title: Recurrent feature reasoning for image inpainting
– volume: 9
  start-page: 673
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0740
  article-title: Analyzing the vertical distribution of crown material in mixed stand composed of two temperate tree species
  publication-title: For. Trees Livelihoods
– start-page: 83
  year: 2020
  ident: 10.1016/j.rse.2020.112102_bb0780
  article-title: The Laegeren site: An augmented Forest Laboratory
– volume: 198-199
  start-page: 7
  year: 2014
  ident: 10.1016/j.rse.2020.112102_bb0245
  article-title: Developing a dual-wavelength full-waveform terrestrial laser scanner to characterize forest canopy structure
  publication-title: Agric. For. Meteorol.
  doi: 10.1016/j.agrformet.2014.07.007
– volume: 74
  start-page: 44
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0775
  article-title: Surface reconstruction of incomplete datasets: a novel Poisson surface approach based on CSRBF
  publication-title: Comput. Graph.
  doi: 10.1016/j.cag.2018.05.004
– volume: 34
  start-page: S426
  year: 2008
  ident: 10.1016/j.rse.2020.112102_bb1070
  article-title: Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna)
  publication-title: Can. J. Remote. Sens.
  doi: 10.5589/m08-046
– volume: 261
  start-page: 2123
  year: 2011
  ident: 10.1016/j.rse.2020.112102_bb0980
  article-title: Crown plasticity in mixed forests—quantifying asymmetry as a measure of competition using terrestrial laser scanning
  publication-title: For. Ecol. Manag.
  doi: 10.1016/j.foreco.2011.03.008
– volume: 123
  start-page: 140
  year: 2017
  ident: 10.1016/j.rse.2020.112102_bb0935
  article-title: Feasibility of terrestrial laser scanning for collecting stem volume information from single trees
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2016.11.012
– volume: 30
  start-page: 848
  year: 2006
  ident: 10.1016/j.rse.2020.112102_bb0325
  article-title: Thinning operations and their impact on biomass production in stands of Norway spruce and scots pine
  publication-title: Biomass Bioenergy
  doi: 10.1016/j.biombioe.2006.04.001
– volume: 233
  start-page: 111355
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0135
  article-title: Non-destructive tree volume estimation through quantitative structure modelling: comparing UAV laser scanning with terrestrial LIDAR
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2019.111355
– volume: 216
  start-page: 626
  year: 2018
  ident: 10.1016/j.rse.2020.112102_bb0735
  article-title: Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: a case study in Lopé National Park
  publication-title: Gabon. Remote Sens. Environ.
  doi: 10.1016/j.rse.2018.07.023
– volume: 22
  start-page: 2130
  year: 2019
  ident: 10.1016/j.rse.2020.112102_bb0605
  article-title: Neighbour species richness and local structural variability modulate aboveground allocation patterns and crown morphology of individual trees
  publication-title: Ecol. Lett.
  doi: 10.1111/ele.13400
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Snippet Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor...
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SubjectTerms Agricultural sciences
Agriculture & agronomie
Agriculture & agronomy
Algorithms
allometry
biochemical pathways
Biologie végétale (sciences végétales, sylviculture, mycologie...)
Computer Science
Data integration
Diameters
Ecological monitoring
Ecology
Ecosystem structure
Ecosystems
environment
Environmental Engineering
Environmental Sciences
Environmental sciences & ecology
Forest ecology
Forest ecosystems
Forest management
Forest plot measurement
Forests
Ground-based LiDAR
Laser applications
Lasers
Life Sciences
Phytobiology (plant sciences, forestry, mycology...)
plasticity
Radiative transfer
Remote sensing
Scanning
Sciences de l’environnement & écologie
Sciences du vivant
Signal and Image Processing
Silviculture, forestry
Structure-function relationships
Terrestrial laser scanning
tree height
Tree structure
trees
Unmanned aerial vehicles
Urban forests
Title Terrestrial laser scanning in forest ecology: Expanding the horizon
URI https://dx.doi.org/10.1016/j.rse.2020.112102
https://www.proquest.com/docview/2478112442
https://www.proquest.com/docview/2552000563
https://hal.science/hal-03005987
https://orbi.uliege.be/handle/2268/266264
Volume 251
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