Biomass Measurements, Forest, Terrestial Laser Techniques, TLS

Chapter Contents (Back)
Biomass Measurement. TLS. Terrestrial Laser Scanner. LIDAR. The general methods.
See also Trees, Forest, Stem Volume, Aboveground Biomass Measurements.

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.
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.

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 laser scanning,
PandRS(161), 2020, pp. 246-262.
Elsevier DOI 2002
Mobile laser scanning, Stem curve, Stem volume, Tree volume, Mobile, SLAM BibRef

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

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

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

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,
DOI Link 1109

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
Fast And Robust Stem Reconstruction In Complex Environments Using Terrestrial Laser Scanning,
ISPRS16(B3: 411-417).
DOI Link 1610

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

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.
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

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.
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.
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

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

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

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

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

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,
RS(15), No. 11, 2023, pp. 2799.
DOI Link 2306

Chudá, J., Huncaga, M., Tucek, J., Mokroš, M.,
The Handheld Mobile Laser Scanners As A Tool for Accurate Positioning Under Forest Canopy,
DOI Link 2012

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,
DOI Link 1411

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,
DOI Link 1311

Vonderach, C., Voegtle, T., Adler, P.,
Voxel-based Approach For Estimating Urban Tree Volume From Terrestrial Laser Scanning Data,
DOI Link 1209

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Biomass Measurements, Forest, TanDEM-X, SAR, Radar Measurements .

Last update:Aug 31, 2023 at 09:37:21