Keith Price Bibliography Trees, Individual Trees, Tree Crowns

22.5.3 Trees, Individual Trees, Tree Crowns

Chapter Contents (Back)
Trees. Often this is range based. See also Inspection -- Lumber, Logs.

Kraus, K., Pfeifer, N.,
Determination of terrain models in wooded areas with airborne laser scanner data,
PandRS(53), No. 4, 01 August 1998, pp. 193-203. BibRef 9808

Hyyppa, J., Kelle, O., Lehikoinen, M., Inkinen, M.,
A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners,
GeoRS(39), No. 5, May 2001, pp. 969-975.
IEEE Top Reference. 0106 BibRef

Larsen, M.[Morten], and Rudemo, M.[Mats],
Optimizing templates for finding trees in aerial photographs,
PRL(19), No. 12, 30 October 1998, pp. 1153-1162. BibRef 9810
Earlier:
Using Ray-Traced Templates to Find Individual Trees in Aerial Photographs,
SCIA97(xx-yy) 9705
HTML Version. BibRef

Larsen, M.[Morten], Rudemo, M.[Mats],
Approximate Bayesian estimation of a 3D point pattern from multiple views,
PRL(25), No. 12, September 2004, pp. 1359-1368.
WWW Version. 0409Combine data from multiple views. Use for tree models. BibRef

Larsen, M.,
Jittered Match Windows Voting for Tree Top Positions in Aerial Photographs,
SCIA99(Remote Sensing). BibRef 9900

Larsen, M., Rudemo, M.,
Estimation of Tree Positions from Aerial Photos,
SSAB97(Photogrammetry) 9703 BibRef

Haering, N.[Niels], da Vitoria Lobo, N.[Niels],
Features and Classification Methods to Locate Deciduous Trees in Images,
CVIU(75), No. 1/2, July-August 1999, pp. 133-149.
WWW Version. Indexing application BibRef 9907

Haering, N.[Niels], Myles, Z.[Zarina], da Vitoria Lobo, N.[Niels],
Locating Deciduous Trees,
CBAIVL97(18).
WWW Version. 9706 BibRef

Zhang, Y.[Yun],
Texture-Integrated Classification of Urban Treed Areas in High-Resolution Color-Infrared Imagery,
PhEngRS(67), No. 12, December 2001, pp. 1359-1366. To effectively extract tree textural features and eliminate noise, use conditional variance detection. It consists of a directional variance detection and a local variance detection.
WWW Version. 0201 BibRef

Evans, D.L.[David L.], Roberts, S.D.[Scott D.], McCombs, J.W.[John W.], Harrington, R.L.[Richard L.],
Detection of Regularly Spaced Targets in Small-Footprint LIDAR Data: Research Issues for Consideration,
PhEngRS(67), No. 10, October 2001, pp. 1133-1136. Small-footprint LIDAR systems do not adequately sample tree tops under typical LIDAR mission conditions.
WWW Version. 0201 BibRef

Gong, P., Sheng, Y., Biging, G.S.,
3D Model-Based Tree Measurement from High-Resolution Aerial Imagery,
PhEngRS(68), No. 11, November 2002, pp. 1203-1212. An interactive 3D model-based tree interpreter is proposed to extract 3D tree parameters such as tree location, tree height, crown depth, crown radius, and crown surface curvature from multi-ocular high-resolution aerial images.
WWW Version. 0304 BibRef

Persson, A., Holmgren, J., and Söderman, U.,
Detecting and Measuring Individual Trees Using an Airborne Laser Scanner,
PhEngRS(68), No. 9, September 2002, pp. 925-932. Watershed segmentation of trees. BibRef 0209

Pouliot, D.A., King, D.J., Bell, F.W., Pitt, D.G.,
Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration,
RSE(82), No. 2-3, October 2002, pp. 322-334.
HTML Version. 0210 BibRef

Raber, G.T.[George T.], Jensen, J.R.[John R.], Schill, S.R.[Steven R.], Schuckman, K.[Karen],
Creation of Digital Terrain Models Using an Adaptive Lidar Vegetation Point Removal Process,
PhEngRS(68), No. 12, December 2002, pp. 1307-1316. A method for the automatic extraction of land-cover thematic information directly from lidar data and the use of this information in an adaptive point removal process to extract more accurate bald-earth digital elevation models from lidar data is presented.
WWW Version. 0304 BibRef

Lévesque, J.[Josée], King, D.J.[Douglas J.],
Spatial analysis of radiometric fractions from high-resolution multispectral imagery for modelling individual tree crown and forest canopy structure and health,
RSE(84), No. 4, 10 April 2003, pp. 589-602.
WWW Version. 0309 BibRef

Brandtberg, T.[Tomas], Warner, T.A.[Timothy A.], Landenberger, R.E.[Rick E.], McGraw, J.B.[James B.],
Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America,
RSE(85), No. 3, 30 May 2003, pp. 290-303.
WWW Version. 0309 BibRef

Brandtberg, T.[Tomas],
Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar,
PandRS(61), No. 5, January 2007, pp. 325-340.
WWW Version. 0703Calibration; Forestry; Lidar; Segmentation; Species classification BibRef

Warner, T.A.[Timothy A.], Steinmaus, K.[Karen],
Spatial Classification of Orchards and Vineyards with High Spatial Resolution Panchromatic Imagery,
PhEngRS(71), No. 2, February 2005, pp. 179-188. Spatial auto correlation measures are used to classify land cover types with distinct spatial patterns.
WWW Version. 0509 BibRef

Carleer, A., Wolff, E.,
Exploitation of Very High Resolution Satellite Data for Tree Species Identification,
PhEngRS(70), No. 1, January 2004, pp. 135-140. The potential of very high resolution multispectral satellite images for vegetation mapping, primarily deciduous tree species in "monoculture stands," with conventional hard classification processes is presented.
WWW Version. 0403 BibRef

Wang, L.[Le], Gong, P.[Peng], Biging, G.S.[Gregory S.],
Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery,
PhEngRS(70), No. 3, March 2004, pp. 351-358. A promising agreement between automatic methods and manual delineation results was achieved in counting the number of trees as well as in delineating tree crowns.
WWW Version. 0403 BibRef

Moffiet, T., Mengersen, K., Witte, C., King, R., Denham, R.,
Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species,
PandRS(59), No. 5, August 2005, pp. 289-309.
WWW Version. 0509 BibRef

Hallberg, B., Smith-Jonforsen, G., Ulander, L.M.H.,
Measurements on individual trees using multiple VHF SAR images,
GeoRS(43), No. 10, October 2005, pp. 2261-2269.
WWW Version. 0510 BibRef

Houldcroft, C.J., Campbell, C.L., Davenport, I.J., Gurney, R.J., Holden, N.,
Measurement of canopy geometry characteristics using LiDAR laser altimetry: a feasibility study,
GeoRS(43), No. 10, October 2005, pp. 2270-2282.
WWW Version. 0510 BibRef

Kuijper, A.[Arjan],
Using Catastrophe Theory to Derive Trees from Images,
JMIV(23), No. 3, November 2005, pp. 219-238.
WWW Version. 0510 BibRef

Erikson, M.[Mats], Olofsson, K.[Kenneth],
Comparison of three individual tree crown detection methods,
MVA(16), No. 4, September 2005, pp. 258-265.
WWW Version. 0512 BibRef

Erikson, M.[Mats],
Structure-Preserving Segmentation of Individual Tree Crowns by Brownian Motion,
SCIA03(283-289).
WWW Version. 0310 BibRef
Earlier:
Structure-keeping Colour Segmentation of Tree Crowns in Aerial Images,
SCIA01(O-Tu1). 0206 BibRef

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.
WWW Version. 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 Version. 0704An object-oriented small footprint lidar algorithm that uses properties of tree clusters to predict forest properties. BibRef

Koch, B.[Barbara], Heyder, U.[Ursula], Weinacker, H.[Holger],
Detection of Individual Tree Crowns in Airborne Lidar Data,
PhEngRS(72), No. 4, April 2006, pp. 357-364.
WWW Version. 0610An approach to delineate tree crowns in mixed and deciduous temperate forests. BibRef

Wang, Y., Weinacker, H.[Holger], Koch, B.[Barbara],
Development of a Procedure for Vertical Structure Analysis and 3D Single Tree Extraction within Forests Based on Lidar Point Cloud,
Laser07(419).
PDF Version. 0709 BibRef

Chen, Q.[Qi], Baldocchi, D.[Dennis], Gong, P.[Peng], Kelly, M.[Maggi],
Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data,
PhEngRS(72), No. 8, August 2006, pp. 923-392.
WWW Version. 0610A new method for detecting treetops from lidar data and applying marked-controlled watershed segmentation to the isolation of individual trees. 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 Version. 0712A new lidar metric for forest canopy geometric volume for estimating basal area and stem volume on individual trees is tested. BibRef

Hosoi, F., Omasa, K.,
Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar,
GeoRS(44), No. 12, December 2006, pp. 3610-3618.
WWW Version. 0701 BibRef

Shrivastava, R.J.[Rahul J.], Gebelein, J.L.[Jennifer L.],
Land cover classification and economic assessment of citrus groves using remote sensing,
PandRS(61), No. 5, January 2007, pp. 341-353.
WWW Version. 0703Agriculture; Economy; Citrus Grove Area Estimation; Landsat BibRef

Gougeon, F.A.[François A.], Leckie, D.G.[Donald G.],
The Individual Tree Crown Approach Applied to Ikonos Images of a Coniferous Plantation Area,
PhEngRS(72), No. 11, November 2006, pp. 1287-1297.
WWW Version. 0704An assessment of the effects of 1m and 4m resolution on the detection, delineation, and classification of individual tree crowns. BibRef

Yu, X.[Xiaowei], Hyyppä, J.[Juha], Kukko, A.[Antero], Maltamo, M.[Matti], Kaartinen, H.[Harri],
Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data,
PhEngRS(72), No. 12, December 2006, pp. 1339-1348.
WWW Version. 0704The individual tree height growth of Scots pine was estimated from two laser surveys with three different techniques, and the accuracy of the estimation was evaluated with sample trees. BibRef

Solberg, S.[Svein], Naesset, E.[Erik], Bollandsas, O.M.[Ole Martin],
Single Tree Segmentation Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest,
PhEngRS(72), No. 12, December 2006, pp. 1369-1378.
WWW Version. 0704A new method for single tree segmentation and algorithms for estimating crown base height are presented and tested. BibRef

Ørka, H.O., Naesset, E.[Erik], Bollandsås, O.M.[Ole Martin],
Utilizing Airborne Laser Intensity for Tree Species Classification,
Laser07(300).
PDF Version. 0709 BibRef

Rowell, E.[Eric], Seielstad, C.[Carl], Vierling, L.[Lee], Queen, L.[Lloyd], Shepperd, W.[Wayne],
Using Laser Altimetry-based Segmentation to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota,
PhEngRS(72), No. 12, December 2006, pp. 1379-1388.
WWW Version. 0704A comparison of landscape segmentation techniques, including using a combination laser based canopy height variance/percent canopy cover classification coupled with smoothing decisions to improve automated stem detection using a variable window-size algorithm. BibRef

Wolf, B.M.[Bernd-Michael], Heipke, C.[Christian],
Automatic extraction and delineation of single trees from remote sensing data,
MVA(18), No. 5, October 2007, pp. 317-330.
WWW Version. 0711 BibRef

Palenichka, R.M.[Roman M.], Zaremba, M.B.[Marek B.],
Multiscale Isotropic Matched Filtering for Individual Tree Detection in LiDAR Images,
GeoRS(45), No. 12, December 2007, pp. 3944-3956.
WWW Version. 0711 BibRef
Earlier:
Scale-Adaptive Segmentation and Recognition of Individual Trees Based on LiDAR Data,
ICIAR07(1082-1092).
WWW Version. 0708 BibRef

Kononov, A.A., Ka, M.H.,
Model-Associated Forest Parameter Retrieval Using VHF SAR Data at the Individual Tree Level,
GeoRS(46), No. 1, January 2008, pp. 69-84.
WWW Version. 0712 BibRef

Ouma, Y.O.[Yashon O.], Tateishi, R.,
Urban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification,
PandRS(63), No. 3, May 2008, pp. 333-351.
WWW Version. 0711Quickbird; Urban-trees; Multiscale texture; Multiscale spectex-filtering; Non-parametric classification BibRef

Teng, C.H.[Chin-Hung], Chen, Y.S.[Yung-Sheng], Hsu, W.H.[Wen-Hsing],
An Approach to Extracting Trunk from an Image,
ICICE(E89-D), No. 4, April 2006, pp. 1596-1600.
WWW Version. 0604Tree trunks. Not for aerial images though. BibRef

Hallberg, B., Smith-Jonforsen, G., Ulander, L.M.H., Sandberg, G.,
A Physical-Optics Model for Double-Bounce Scattering From Tree Stems Standing on an Undulating Ground Surface,
GeoRS(46), No. 9, September 2008, pp. 2607-2621.
WWW Version. 0810 BibRef

Lu, W.L.[Wei-Lwun], Little, J.J.[James J.], Sheffer, A.[Alla], Fu, H.B.[Hong-Bo],
Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data,
CRV08(203-210).
WWW Version. 0805 BibRef

Barilotti, A., Sepic, F., Abramo, E., Crosilla, F.,
Assessing the 3D Structure of the Single Crowns in Mixed Alpine Forests,
PIA07(129).
PDF Version. 0711 BibRef
And:
Improving the Morphological Analysis for Tree Extraction: A Dynamic Approach to Lidar Data,
Laser07(26).
PDF Version. 0709 BibRef