Bortolot, Z.J.[Zachary J.],
Wynne, R.H.[Randolph H.],
Estimating forest biomass using small footprint LiDAR data: An
individual tree-based approach that incorporates training data,
PandRS(59), No. 6, November 2005, pp. 342-360.
Elsevier DOI
0602
BibRef
Bortolot, Z.J.[Zachary J.],
Using Tree Clusters to Derive Forest Properties from Small Footprint
Lidar Data,
PhEngRS(72), No. 12, December 2006, pp. 1389-1398.
WWW Link.
0704
An object-oriented small footprint lidar algorithm that uses
properties of tree clusters to predict forest properties.
BibRef
Chen, Q.[Qi],
Gong, P.[Peng],
Baldocchi, D.[Dennis],
Tian, Y.Q.[Yong Q.],
Estimating Basal Area and Stem Volume for Individual Trees from Lidar
Data,
PhEngRS(73), No. 12, December 2007, pp. 1355-1366.
WWW Link.
0712
A new lidar metric for forest canopy geometric volume for estimating
basal area and stem volume on individual trees is tested.
See also Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data.
BibRef
Kantola, T.,
Vastaranta, M.[Mikko],
Yu, X.W.[Xiao-Wei],
Lyytikainen-Saarenmaa, P.,
Holopainen, M.,
Talvitie, M.,
Kaasalainen, S.,
Solberg, S.,
Hyyppa, J.,
Classification of Defoliated Trees Using Tree-Level Airborne Laser
Scanning Data Combined with Aerial Images,
RS(2), No. 12, December 2010, pp. 2665-2679.
DOI Link
1203
BibRef
Kankare, V.[Ville],
Räty, M.[Minna],
Yu, X.W.[Xiao-Wei],
Holopainen, M.[Markus],
Vastaranta, M.[Mikko],
Kantola, T.[Tuula],
Hyyppä, J.[Juha],
Hyyppä, H.[Hannu],
Alho, P.[Petteri],
Viitala, R.[Risto],
Single tree biomass modelling using airborne laser scanning,
PandRS(85), No. 1, 2013, pp. 66-73.
Elsevier DOI
1310
Airborne laser scanning
BibRef
Imangholiloo, M.,
Yrttimaa, T.,
Mattsson, T.,
Junttila, S.,
Holopainen, M.,
Saarinen, N.,
Savolainen, P.,
Hyyppä, J.,
Vastaranta, M.,
Adding single tree features and correcting edge tree effects enhance
the characterization of seedling stands with single-photon airborne
laser scanning,
PandRS(191), 2022, pp. 129-142.
Elsevier DOI
2208
Seedling forest, Area-based approach,
Individual tree detection, ITD, ABA, ALS, LiDAR,
Forest inventory
BibRef
Holopainen, M.[Markus],
Vastaranta, M.[Mikko],
Kankare, V.[Ville],
Räty, M.[Minna],
Vaaja, M.[Matti],
Liang, X.L.[Xin-Lian],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Hyyppä, H.[Hannu],
Viitala, R.[Risto],
Kaasalainen, S.[Sanna],
Biomass Estimation of Individual Trees Using Stem and Crown Diameter
TLS Measurements,
Laser11(xx-yy).
DOI Link
1109
BibRef
Lin, Y.[Yi],
Jaakkola, A.[Anttoni],
Hyyppä, J.[Juha],
Kaartinen, H.[Harri],
From TLS to VLS: Biomass Estimation at Individual Tree Level,
RS(2), No. 8, August 2010, pp. 1864-1879.
DOI Link
1203
BibRef
Kankare, V.[Ville],
Holopainen, M.[Markus],
Vastaranta, M.[Mikko],
Puttonen, E.[Eetu],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Vaaja, M.[Matti],
Hyyppä, H.[Hannu],
Alho, P.[Petteri],
Individual Tree Biomass Estimation Using Terrestrial Laser Scanning,
PandRS(75), No. 1, January 2013, pp. 64-75.
Elsevier DOI
1301
Terrestrial laser scanning; Aboveground biomass; Individual tree;
Features; Stem volume; Stem curve
BibRef
Vastaranta, M.[Mikko],
Kankare, V.[Ville],
Holopainen, M.[Markus],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Hyyppä, H.[Hannu],
Combination of individual tree detection and area-based approach in
imputation of forest variables using airborne laser data,
PandRS(67), No. 1, January 2012, pp. 73-79.
Elsevier DOI
1202
Laser scanning; Forest inventory; Field measurements
BibRef
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Holopainen, M.[Markus],
Vastaranta, M.[Mikko],
Comparison of Area-Based and Individual Tree-Based Methods for
Predicting Plot-Level Forest Attributes,
RS(2), No. 6, June 2010, pp. 1481-1495.
DOI Link
1203
BibRef
Kankare, V.[Ville],
Vastaranta, M.[Mikko],
Holopainen, M.[Markus],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.[Juha],
Hyyppä, H.[Hannu],
The Fusion of Individual Tree Detection and Visual Interpretation in
Assessment of Forest Variables from Laser Point Clouds,
Laser11(xx-yy).
DOI Link
1109
BibRef
Holopainen, M.[Markus],
Haapanen, R.[Reija],
Karjalainen, M.[Mika],
Vastaranta, M.[Mikko],
Hyyppä, J.[Juha],
Yu, X.W.[Xiao-Wei],
Tuominen, S.[Sakari],
Hyyppä, H.[Hannu],
Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar
Images in the Estimation of Plot-Level Forest Variables,
RS(2), No. 2, February 2010, pp. 432-445.
DOI Link
1203
BibRef
Earlier:
Combination of Low Pulse ALS Data and TERRASAR-X Radar images in the
Estimation of Plot-Level Forest Variables,
Laser09(135).
0909
BibRef
Vastaranta, M.[Mikko],
Holopainen, M.[Markus],
Yu, X.W.[Xiao-Wei],
Hyyppä, J.,
Mäkinen, A.,
Rasinmäki, J.,
Melkas, T.,
Kaartinen, H.,
Hyyppä, H.,
Effects of Individual Tree Detection Error Sources on Forest Management
Planning Calculations,
RS(3), No. 8, August 2011, pp. 1614-1626.
DOI Link
1203
BibRef
Vastaranta, M.[Mikko],
Holopainen, M.[Markus],
Haapanen, R.[Reija],
Yu, X.W.[Xiao-Wei],
Melkas, T.[Timo],
Hyyppä, J.[Juha],
Hyyppä, H.[Hannu],
Comparison of ALS-Based Low-Pulse Density Forest Inventories,
Laser09(147).
0909
BibRef
Liang, X.,
Hyyppä, J.,
Matikainen, L.,
Deciduous-Coniferous Tree Classification Using Difference between First
and Last Pulse Laser Signatures,
Laser07(253).
PDF File.
0709
BibRef
Yu, X.,
Hyyppä, J.,
Kaartinen, H.,
Hyyppä, H.,
Maltamo, M.,
Rönnholm, P.,
Measuring the growth of individual trees using multi-temporal airborne
laser scanning point clouds,
Laser05(xx-yy).
PDF File.
0509
BibRef
Hyyppä, J.,
Mielonen, T.,
Hyyppä, H.,
Maltamo, M.,
Yu, X.,
Honkavaara, E.,
Kaartinen, H.,
Using individual tree crown approach for forest volume extraction with
aerial images and laser point clouds,
Laser05(xx-yy).
PDF File.
0509
BibRef
Pyysalo, U.[Ulla],
Hyyppa, H.[Hannu],
Reconstructing Tree Crowns from Laser Scanner Data for Feature
Extraction,
PCV02(B: 218).
0305
BibRef
Lehtomäki, M.[Matti],
Jaakkola, A.[Anttoni],
Hyyppä, J.[Juha],
Kukko, A.[Antero],
Kaartinen, H.[Harri],
Detection of Vertical Pole-Like Objects in a Road Environment Using
Vehicle-Based Laser Scanning Data,
RS(2), No. 3, March 2010, pp. 641-664.
DOI Link
1203
Road Signs.
Sign Detection.
Traffic Signs.
BibRef
Earlier:
Performance Analysis of a Pole and Tree Trunk Detection Method for
Mobile Laser Scanning Data,
Laser11(xx-yy).
DOI Link
1109
BibRef
Saarinen, N.[Ninni],
Vastaranta, M.[Mikko],
Vaaja, M.[Matti],
Lotsari, E.[Eliisa],
Jaakkola, A.[Anttoni],
Kukko, A.[Antero],
Kaartinen, H.[Harri],
Holopainen, M.[Markus],
Hyyppä, H.[Hannu],
Alho, P.[Petteri],
Area-Based Approach for Mapping and Monitoring Riverine Vegetation
Using Mobile Laser Scanning,
RS(5), No. 10, 2013, pp. 5285-5303.
DOI Link
1311
BibRef
Lin, Y.[Yi],
Hyyppä, J.[Juha],
Kaartinen, H.[Harri],
Kukko, A.[Antero],
Performance Analysis of Mobile Laser Scanning Systems in Target
Representation,
RS(5), No. 7, 2013, pp. 3140-3155.
DOI Link
1307
BibRef
Straub, C.,
Koch, B.,
Estimating Single Tree Stem Volume of Pinus sylvestris Using Airborne
Laser Scanner and Multispectral Line Scanner Data,
RS(3), No. 5, May 2011, pp. 929-944.
DOI Link
1203
BibRef
Edson, C.[Curtis],
Wing, M.G.[Michael G.],
Edson, C.,
Wing, M.,
Airborne Light Detection and Ranging (LiDAR) for Individual Tree Stem
Location, Height, and Biomass Measurements,
RS(3), No. 11, November 2011, pp. 2494-2528.
DOI Link
1203
Award, Remote Sensing, Second. 2015.
BibRef
Hauglin, M.[Marius],
Dibdiakova, J.[Janka],
Gobakken, T.[Terje],
Næsset, E.[Erik],
Estimating single-tree branch biomass of Norway spruce by airborne
laser scanning,
PandRS(79), No. 1, May 2013, pp. 147-156.
Elsevier DOI
1305
Forestry; LIDAR; Inventory; Estimation; Accuracy
BibRef
Cao, L.[Lin],
Gao, S.[Sha],
Li, P.[Pinghao],
Yun, T.[Ting],
Shen, X.[Xin],
Ruan, H.H.[Hong-Hua],
Aboveground Biomass Estimation of Individual Trees in a Coastal
Planted Forest Using Full-Waveform Airborne Laser Scanning Data,
RS(8), No. 9, 2016, pp. 729.
DOI Link
1610
BibRef
Albinet, C.,
Borderies, P.,
Floury, N.,
Pottier, E.,
Measure of Temporal Variation of P-Band Radar Cross Section and
Temporal Coherence of a Temperate Tree,
GeoRS(54), No. 11, November 2016, pp. 6255-6264.
IEEE DOI
1610
Antenna measurements
BibRef
Chen, M.,
Wan, Y.,
Wang, M.,
Xu, J.,
Automatic Stem Detection in Terrestrial Laser Scanning Data With
Distance-Adaptive Search Radius,
GeoRS(56), No. 5, May 2018, pp. 2968-2979.
IEEE DOI
1805
Clustering algorithms, Feature extraction, Laser radar,
Measurement by laser beam, Support vector machines,
terrestrial laser scanner
BibRef
Oveland, I.[Ivar],
Hauglin, M.[Marius],
Giannetti, F.[Francesca],
Kjørsvik, N.S.[Narve Schipper],
Gobakken, T.[Terje],
Comparing Three Different Ground Based Laser Scanning Methods for
Tree Stem Detection,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
St-Onge, B.[Benoît],
Grandin, S.[Simon],
Estimating the Height and Basal Area at Individual Tree and Plot
Levels in Canadian Subarctic Lichen Woodlands Using Stereo
WorldView-3 Images,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Zhang, W.M.[Wu-Ming],
Wan, P.[Peng],
Wang, T.J.[Tie-Jun],
Cai, S.S.[Shang-Shu],
Chen, Y.M.[Yi-Ming],
Jin, X.L.[Xiu-Liang],
Yan, G.J.[Guang-Jian],
A Novel Approach for the Detection of Standing Tree Stems from
Plot-Level Terrestrial Laser Scanning Data,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Zheng, Y.J.[Yu-Jie],
Jia, W.W.[Wei-Wei],
Wang, Q.A.[Qi-Ang],
Huang, X.[Xu],
Deriving Individual-Tree Biomass from Effective Crown Data Generated
by Terrestrial Laser Scanning,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Huncaga, M.[Milan],
Chudá, J.[Juliána],
Tomaštík, J.[Julián],
Slámová, M.[Martina],
Koren, M.[Milan],
Chudý, F.[František],
The Comparison of Stem Curve Accuracy Determined from Point Clouds
Acquired by Different Terrestrial Remote Sensing Methods,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
Shape of standing tees.
BibRef
Zhao, Y.H.[Ying-Hui],
Ma, Y.[Ye],
Quackenbush, L.J.[Lindi J.],
Zhen, Z.[Zhen],
Estimation of Individual Tree Biomass in Natural Secondary Forests
Based on ALS Data and WorldView-3 Imagery,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Li, H.T.[Han-Tao],
Kato, T.[Tomomichi],
Hayashi, M.[Masato],
Wu, L.[Lan],
Estimation of Forest Aboveground Biomass of Two Major Conifers in
Ibaraki Prefecture, Japan, from PALSAR-2 and Sentinel-2 Data,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Lian, X.G.[Xu-Gang],
Zhang, H.L.[Hai-Lang],
Xiao, W.[Wu],
Lei, Y.P.[Yun-Ping],
Ge, L.L.[Lin-Lin],
Qin, K.[Kai],
He, Y.W.[Yuan-Wen],
Dong, Q.Y.[Quan-Yi],
Li, L.F.[Long-Fei],
Han, Y.[Yu],
Fan, H.[Haodi],
Li, Y.[Yu],
Shi, L.[Lifan],
Chang, J.[Jiang],
Biomass Calculations of Individual Trees Based on Unmanned Aerial
Vehicle Multispectral Imagery and Laser Scanning Combined with
Terrestrial Laser Scanning in Complex Stands,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Berveglieri, A.,
Tommaselli, A.M.G.,
Tree Stem Reconstruction Using Vertical Fisheye Images: A Preliminary
Study,
ISPRS16(B5: 627-632).
DOI Link
1610
BibRef
Pollock, R.J., 1994.
A model-based approach to automatically
locating tree crowns in high spatial resolution images,
SPIE(2315), 1994, pp. 526-537.
The model of trees. 3 parameter surface to model trees, then
to get stem size, etc. Different paramter ranges for deciduous
and conifirs.
BibRef
9400
Pollock, R.J.,
The Automatic recognition of Individual trees in
Aerial Images of Forests Based on a Synthetic Tree Crown Image Model,
UBCTechnical Report.
Vancouver, Canada, June 1996.
9606
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Tree Diameter, Tree Width, Stem Diameter, Diameter at Breast Height, DBH .