Liang, X.L.[Xin-Lian],
Kankare, V.,
Yu, X.W.[Xiao-Wei],
Hyyppa, J.,
Holopainen, M.,
Automated Stem Curve Measurement Using Terrestrial Laser Scanning,
GeoRS(52), No. 3, March 2014, pp. 1739-1748.
IEEE DOI
1403
calibration
BibRef
Liang, X.L.[Xin-Lian],
Litkey, P.[Paula],
Hyyppä, J.[Juha],
Kaartinen, H.[Harri],
Vastaranta, M.[Mikko],
Holopainen, M.[Markus],
Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning,
GeoRS(50), No. 2, February 2012, pp. 661-670.
IEEE DOI
1201
See also Accuracy in Estimation of Timber Assortments and Stem Distribution: A Comparison of Airborne and Terrestrial Laser Scanning Techniques.
BibRef
Hyyppä, E.[Eric],
Kukko, A.[Antero],
Kaijaluoto, R.[Risto],
White, J.C.[Joanne C.],
Wulder, M.A.[Michael A.],
Pyörälä, J.[Jiri],
Liang, X.[Xinlian],
Yu, X.W.[Xiao-Wei],
Wang, Y.S.[Yun-Sheng],
Kaartinen, H.[Harri],
Virtanen, J.P.[Juho-Pekka],
Hyyppä, J.[Juha],
Accurate derivation of stem curve and volume using backpack mobile
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PandRS(161), 2020, pp. 246-262.
Elsevier DOI
2002
Mobile laser scanning, Stem curve, Stem volume, Tree volume,
Mobile, SLAM
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Liang, X.L.[Xin-Lian],
Hyyppä, J.,
Kaartinen, H.,
Holopainen, M.,
Melkas, T.,
Detecting Changes in Forest Structure over Time with Bi-Temporal
Terrestrial Laser Scanning Data,
IJGI(1), No. 3, 2012, pp. 242-255.
DOI Link
1211
BibRef
Kaasalainen, S.[Sanna],
Krooks, A.[Anssi],
Liski, J.[Jari],
Raumonen, P.[Pasi],
Kaartinen, H.[Harri],
Kaasalainen, M.[Mikko],
Puttonen, E.[Eetu],
Anttila, K.[Kati],
Mäkipää, R.[Raisa],
Change Detection of Tree Biomass with Terrestrial Laser Scanning and
Quantitative Structure Modelling,
RS(6), No. 5, 2014, pp. 3906-3922.
DOI Link
1407
BibRef
Puttonen, E.,
Lehtomäki, M.,
Kaartinen, H.,
Zhu, L.,
Kukko, A.,
Jaakkola, A.,
Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud
Data,
RS(5), No. 4, April 2013, pp. 1754-1773.
DOI Link
1305
BibRef
Raumonen, P.[Pasi],
Kaasalainen, M.[Mikko],
Åkerblom, M.,
Kaasalainen, S.[Sanna],
Kaartinen, H.[Harri],
Vastaranta, M.,
Holopainen, M.,
Disney, M.I.,
Lewis, P.E.,
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner
Data,
RS(5), No. 2, February 2013, pp. 491-520.
DOI Link
1303
See also Algorithm for Automatic Road Asphalt Edge Delineation from Mobile Laser Scanner Data Using the Line Clouds Concept, An.
BibRef
Raumonen, P.[Pasi],
Kaasalainen, S.[Sanna],
Kaasalainen, M.[Mikko],
Kaartinen, H.[Harri],
Approximation of Volume and Branch Size Distribution of Trees from
Laser Scanner Data,
Laser11(xx-yy).
DOI Link
1109
BibRef
Pueschel, P.[Pyare],
Newnham, G.[Glenn],
Rock, G.[Gilles],
Udelhoven, T.[Thomas],
Werner, W.[Willy],
Hill, J.[Joachim],
The influence of scan mode and circle fitting on tree stem detection,
stem diameter and volume extraction from terrestrial laser scans,
PandRS(77), No. 1, March 2013, pp. 44-56.
Elsevier DOI
1303
Terrestrial laser scanning (TLS); Forest inventory; Stem detection;
Stem diameter; Stem volume
BibRef
Pueschel, P.[Pyare],
The influence of scanner parameters on the extraction of tree metrics
from FARO Photon 120 terrestrial laser scans,
PandRS(78), No. 1, April 2013, pp. 58-68.
Elsevier DOI
1304
Phase-shift scanner; Forest inventory; Stem detection; Stem diameter;
Stem volume
BibRef
Olsoy, P.J.[Peter J.],
Glenn, N.F.[Nancy F.],
Clark, P.E.[Patrick E.],
Derryberry, D.R.[DeWayne R.],
Aboveground total and green biomass of dryland shrub derived from
terrestrial laser scanning,
PandRS(88), No. 1, 2014, pp. 166-173.
Elsevier DOI
1402
Terrestrial LiDAR
BibRef
Wang, D.[Di],
Hollaus, M.[Markus],
Puttonen, E.[Eetu],
Pfeifer, N.[Norbert],
Automatic and Self-Adaptive Stem Reconstruction in Landslide-Affected
Forests,
RS(8), No. 12, 2016, pp. 974.
DOI Link
1612
BibRef
Earlier:
Fast And Robust Stem Reconstruction In Complex Environments Using
Terrestrial Laser Scanning,
ISPRS16(B3: 411-417).
DOI Link
1610
BibRef
Aijazi, A.K.[Ahmad K.],
Checchin, P.[Paul],
Malaterre, L.[Laurent],
Trassoudaine, L.[Laurent],
Automatic Detection and Parameter Estimation of Trees for Forest
Inventory Applications Using 3D Terrestrial LiDAR,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
See also Automatic Removal of Imperfections and Change Detection for Accurate 3D Urban Cartography by Classification and Incremental Updating.
BibRef
Marchi, N.[Niccolò],
Pirotti, F.[Francesco],
Lingua, E.[Emanuele],
Airborne and Terrestrial Laser Scanning Data for the Assessment of
Standing and Lying Deadwood: Current Situation and New Perspectives,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Putman, E.B.,
Popescu, S.C.,
Automated Estimation of Standing Dead Tree Volume Using Voxelized
Terrestrial Lidar Data,
GeoRS(56), No. 11, November 2018, pp. 6484-6503.
IEEE DOI
1811
Vegetation, Volume measurement,
Mathematical model, Forestry, Carbon, Solid modeling, Biomass,
voxel
BibRef
Pitkänen, T.P.[Timo P.],
Raumonen, P.[Pasi],
Kangas, A.[Annika],
Measuring stem diameters with TLS in boreal forests by complementary
fitting procedure,
PandRS(147), 2019, pp. 294-306.
Elsevier DOI
1901
Terrestrial laser scanning, Stem extraction, Cylinder fitting,
Circle fitting, Taper curve
BibRef
Yrttimaa, T.[Tuomas],
Saarinen, N.[Ninni],
Luoma, V.[Ville],
Tanhuanpää, T.[Topi],
Kankare, V.[Ville],
Liang, X.[Xinlian],
Hyyppä, J.[Juha],
Holopainen, M.[Markus],
Vastaranta, M.[Mikko],
Detecting and characterizing downed dead wood using terrestrial laser
scanning,
PandRS(151), 2019, pp. 76-90.
Elsevier DOI
1904
TLS, Biodiversity, Point cloud, Coarse woody debris, CWD, Ground-based LiDAR
BibRef
Gollob, C.[Christoph],
Ritter, T.[Tim],
Nothdurft, A.[Arne],
Forest Inventory with Long Range and High-Speed Personal Laser
Scanning (PLS) and Simultaneous Localization and Mapping (SLAM)
Technology,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Guerriero, L.,
Martín, F.,
Mollfulleda, A.,
Paloscia, S.,
Pierdicca, N.,
Santi, E.,
Floury, N.,
Ground-Based Remote Sensing of Forests Exploiting GNSS Signals,
GeoRS(58), No. 10, October 2020, pp. 6844-6860.
IEEE DOI
2009
Biomass, Antenna measurements,
Global navigation satellite system, Vegetation mapping, Forestry,
vegetation
BibRef
Shao, J.,
Zhang, W.,
Mellado, N.,
Jin, S.,
Cai, S.,
Luo, L.,
Yang, L.,
Yan, G.,
Zhou, G.,
Single Scanner BLS System for Forest Plot Mapping,
GeoRS(59), No. 2, February 2021, pp. 1675-1685.
IEEE DOI
2101
Forestry, Simultaneous localization and mapping,
Feature extraction, Vegetation, Measurement by laser beam,
and mapping (SLAM)
BibRef
Levick, S.R.[Shaun R.],
Whiteside, T.[Tim],
Loewensteiner, D.A.[David A.],
Rudge, M.[Mitchel],
Bartolo, R.[Renee],
Leveraging TLS as a Calibration and Validation Tool for MLS and ULS
Mapping of Savanna Structure and Biomass at Landscape-Scales,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Pérez-Cruzado, C.[César],
Kleinn, C.[Christoph],
Magdon, P.[Paul],
Álvarez-González, J.G.[Juan Gabriel],
Magnussen, S.[Steen],
Fehrmann, L.[Lutz],
Nölke, N.[Nils],
The Horizontal Distribution of Branch Biomass in European Beech:
A Model Based on Measurements and TLS Based Proxies,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Gollob, C.[Christoph],
Ritter, T.[Tim],
Kraßnitzer, R.[Ralf],
Tockner, A.[Andreas],
Nothdurft, A.[Arne],
Measurement of Forest Inventory Parameters with Apple iPad Pro and
Integrated LiDAR Technology,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Hambrecht, L.[Leonard],
Lucieer, A.[Arko],
Malenovský, Z.[Zbynek],
Melville, B.[Bethany],
Ruiz-Beltran, A.P.[Ana Patricia],
Phinn, S.[Stuart],
Considerations for Assessing Functional Forest Diversity in
High-Dimensional Trait Space Derived from Drone-Based Lidar,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Singh, A.[Arunima],
Kushwaha, S.K.P.[Sunni Kanta Prasad],
Nandy, S.[Subrata],
Padalia, H.[Hitendra],
Ghosh, S.[Surajit],
Srivastava, A.[Ankur],
Kumari, N.[Nikul],
Aboveground Forest Biomass Estimation by the Integration of TLS and
ALOS PALSAR Data Using Machine Learning,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Zhou, T.[Tian],
Ravi, R.[Radhika],
Lin, Y.C.[Yi-Chun],
Manish, R.[Raja],
Fei, S.[Songlin],
Habib, A.[Ayman],
In Situ Calibration and Trajectory Enhancement of UAV and Backpack
LiDAR Systems for Fine-Resolution Forest Inventory,
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DOI Link
2306
BibRef
Bienert, A.,
Hess, C.,
Maas, H.G.,
von Oheimb, G.,
A voxel-based technique to estimate the volume of trees from
terrestrial laser scanner data,
CloseRange14(101-106).
DOI Link
1411
BibRef
Fritz, A.,
Kattenborn, T.,
Koch, B.,
UAV-Based Photogrammetric Point Clouds: Tree Stem Mapping in Open
Stands in Comparison to Terrestrial Laser Scanner Point Clouds,
UAV-g13(141-146).
DOI Link
1311
BibRef
Vonderach, C.,
Voegtle, T.,
Adler, P.,
Voxel-based Approach For Estimating Urban Tree Volume From Terrestrial
Laser Scanning Data,
ISPRS12(XXXIX-B8:451-456).
DOI Link
1209
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Biomass Measurements, Forest, TanDEM-X, SAR, Radar Measurements .