22.5.10.1 Urban Trees, Individual Trees, Street Trees

Chapter Contents (Back)
Trees. Urban Trees. See also Trees, Individual Trees, Tree Crowns. See also Trees, Forest, Stem Volume, Biomass Measurements.

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 Link. 0201
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.
Elsevier DOI 0711
Quickbird; Urban-trees; Multiscale texture; Multiscale spectex-filtering; Non-parametric classification BibRef

Ardila, J.P.[Juan P.], Tolpekin, V.A.[Valentyn A.], Bijker, W.[Wietske], Stein, A.[Alfred],
Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images,
PandRS(66), No. 6, November 2011, pp. 762-775.
Elsevier DOI 1112
Image classification; Markov random field; Super resolution mapping; Urban trees; Contextual classification BibRef

Ardila, J.P.[Juan P.], Bijker, W.[Wietske], Tolpekin, V.A.[Valentyn A.], Stein, A.[Alfred],
Quantification of crown changes and change uncertainty of trees in an urban environment,
PandRS(74), No. 1, November 2012, pp. 41-55.
Elsevier DOI 1212
Change detection; Fuzzy change; Object change detection; Tree crown detection; Urban trees BibRef

Höfle, B.[Bernhard], Hollaus, M.[Markus], Hagenauer, J.[Julian],
Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data,
PandRS(67), No. 1, January 2012, pp. 134-147.
Elsevier DOI 1202
Laser scanning; LiDAR; Calibration; Vegetation; Object based image analysis; Full-waveform BibRef

Shrestha, R., Wynne, R.,
Estimating Biophysical Parameters of Individual Trees in an Urban Environment Using Small Footprint Discrete-Return Imaging Lidar,
RS(4), No. 2, February 2012, pp. 484-508.
DOI Link 1203
BibRef

Zhang, K., Hu, B.,
Individual Urban Tree Species Classification Using Very High Spatial Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles,
RS(4), No. 6, June 2012, pp. 1741-1757.
DOI Link 1208
BibRef

Agarwal, S., Vailshery, L., Jaganmohan, M., Nagendra, H.,
Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches,
IJGI(2), No. 1, 2013, pp. 220-236.
DOI Link 1303
BibRef

Wu, B., Yu, B., Yue, W., Shu, S., Tan, W., Hu, C., Huang, Y., Wu, J., Liu, H.,
A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data,
RS(5), No. 2, February 2013, pp. 584-611.
DOI Link 1303
BibRef

Zhou, J.H.[Jian-Hua], Yu, B.[Bailang], Qin, J.[Jun],
Multi-Level Spatial Analysis for Change Detection of Urban Vegetation at Individual Tree Scale,
RS(6), No. 9, 2014, pp. 9086-9103.
DOI Link 1410
BibRef

Zhang, C.Y.[Cai-Yun], Zhou, Y.H.[Yu-Hong], Qiu, F.[Fang],
Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory,
RS(7), No. 6, 2015, pp. 7892.
DOI Link 1507
BibRef

Li, D.[Dan], Ke, Y.H.[Ying-Hai], Gong, H.[Huili], Li, X.J.[Xiao-Juan],
Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images,
RS(7), No. 12, 2015, pp. 15861.
DOI Link 1601
BibRef

Li, L.[Lin], Li, D.[Dalin], Zhu, H.[Haihong], Li, Y.[You],
A dual growing method for the automatic extraction of individual trees from mobile laser scanning data,
PandRS(120), No. 1, 2016, pp. 37-52.
Elsevier DOI 1610
Individual tree BibRef

Guan, H.Y.[Hai-Yan], Cao, S., Yu, Y.T.[Yong-Tao], Li, J.[Jonathan], Liu, N., Chen, P., Li, Y.,
Street-Scene Tree Segmentation from Mobile Laser Scanning Data,
ISPRS16(B3: 221-225).
DOI Link 1610
BibRef

Li, Y.[You], Li, L.[Lin], Li, D.[Dalin], Yang, F.[Fan], Liu, Y.[Yu],
A Density-Based Clustering Method for Urban Scene Mobile Laser Scanning Data Segmentation,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Yu, Y.T.[Yong-Tao], Li, J.[Jonathan], Guan, H.Y.[Hai-Yan], Wang, C.[Cheng], Wen, C.,
Bag of Contextual-Visual Words for Road Scene Object Detection From Mobile Laser Scanning Data,
ITS(17), No. 12, December 2016, pp. 3391-3406.
IEEE DOI 1612
Automobiles BibRef

Yu, Y.T.[Yong-Tao], Li, J.[Jonathan], Guan, H.Y.[Hai-Yan], Wang, C.[Cheng], Cheng, M.[Ming],
A Marked Point Process for Automated Tree Detection from Mobile Laser Scanning Point Cloud Data,
CVRS12(140-145).
IEEE DOI 1302
See also Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests. See also Traffic Sign Occlusion Detection Using Mobile Laser Scanning Point Clouds. BibRef

Yu, Y.T.[Yong-Tao], Li, J., Guan, H.[Haiyan], Zai, D., Wang, C.,
Automated Extraction of 3D Trees from Mobile LiDAR Point Clouds,
CloseRange14(629-632).
DOI Link 1411
BibRef

Louarn, M.L.[Marine Le], Clergeau, P.[Philippe], Briche, E.[Elodie], Deschamps-Cottin, M.[Magali],
'Kill Two Birds with One Stone': Urban Tree Species Classification Using Bi-Temporal Pléiades Images to Study Nesting Preferences of an Invasive Bird,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Branson, S.[Steve], Wegner, J.D.[Jan Dirk], Hall, D.[David], Lang, N.[Nico], Schindler, K.[Konrad], Perona, P.[Pietro],
From Google Maps to a fine-grained catalog of street trees,
PandRS(135), No. Supplement C, 2018, pp. 13-30.
Elsevier DOI 1712
Deep learning, Image interpretation, Urban areas, Street trees, Very high resolution BibRef

Herfort, B.[Benjamin], Höfle, B.[Bernhard], Klonner, C.[Carolin],
3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis,
PandRS(137), 2018, pp. 73-83.
Elsevier DOI 1802
LiDAR, Urban trees, Crowdsourcing, Point cloud classification, Quality BibRef

Zhang, Y.L.[Yong-Lin], Dong, R.C.[Ren-Cai],
Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Lin, Y.[Yi], Jiang, M.[Miao],
A New Algorithm for MLS-Based DBH Mensuration and Its Preliminary Validation in an Urban Boreal Forest: Aiming at One Cornerstone of Allometry-Based Forest Biometrics,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Adeline, K.R.M., Briottet, X., Ceamanos, X., Dartigalongue, T., Gastellu-Etchegorry, J.P.,
ICARE-VEG: A 3D physics-based atmospheric correction method for tree shadows in urban areas,
PandRS(142), 2018, pp. 311-327.
Elsevier DOI 1807
Atmospheric correction, Radiative transfer, Hyperspectral, High spatial resolution, Tree shadows, Urban areas BibRef

Singh, K.K.[Kunwar K.], Chen, Y.H.[Yin-Hsuen], Smart, L.[Lindsey], Gray, J.[Josh], Meentemeyer, R.K.[Ross K.],
Intra-annual phenology for detecting understory plant invasion in urban forests,
PandRS(142), 2018, pp. 151-161.
Elsevier DOI 1807
Biological invasion, Vegetation indices, Vegetation phenology, Normalized difference vegetation index, , Chinese privet, Random forest BibRef

Vahidi, H.[Hossein], Klinkenberg, B.[Brian], Johnson, B.A.[Brian A.], Moskal, L.M.[L. Monika], Yan, W.[Wanglin],
Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef


Hofierka, J., Gallay, M., Kanuk, J., Šupinský, J., Šašak, J.,
High-resolution Urban Greenery Mapping for Micro-climate Modelling Based On 3D City Models,
GeoInfo17(7-12).
DOI Link 1805
BibRef

Wegner, J.D., Branson, S., Hall, D., Schindler, K., Perona, P.,
Cataloging Public Objects Using Aerial and Street-Level Images: Urban Trees,
CVPR16(6014-6023)
IEEE DOI 1612
BibRef

Dogon-Yaro, M.A., Kumar, P., Abdul Rahman, A., Buyuksalih, G.,
Semi-Automated Approach for Mapping Urban Trees from Integrated Aerial Lidar Point Cloud and Digital Imagery Datasets,
GGT16(127-134).
DOI Link 1612
BibRef

Böhm, J., Bredif, M., Gierlinger, T., Krämer, M., Lindenberg, R., Liu, K., Michel, F., Sirmacek, B.,
The Iqmulus Urban Showcase: Automatic Tree Classification And Identification In Huge Mobile Mapping Point Clouds,
ISPRS16(B3: 301-307).
DOI Link 1610
BibRef

Moradi, A., Satari, M., Momeni, M.,
Individual Tree Of Urban Forest Extraction From Very High Density Lidar Data,
ISPRS16(B3: 337-343).
DOI Link 1610
BibRef

Monnier, F., Vallet, B., Soheilian, B.,
Trees Detection From Laser Point Clouds Acquired In Dense Urban Areas By A Mobile Mapping System,
AnnalsPRS(I-3), No. 2012, pp. 245-250.
HTML Version. 1209
BibRef

Liberge, S.[Sterenn], Soheilian, B.[Bahman], Chehata, N.[Nesrine], Paparoditis, N.[Nicolas],
Extraction of vertical posts in 3D laser point clouds acquired in dense urban areas by a Mobile Mapping System,
PCVIA10(B:126).
PDF File. 1009
BibRef

Kramer, H., Oldengarm, J.,
URBTREE: A Tree Growth Model for the Urban Environment,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

van der Sande, C.J.,
Automatic Object Recognition and Change Detection of Urban Trees,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Ardila, J.P.[Juan Pablo], Tolpekin, V.A.[Valentyn A.], Bijker, W.[Wietske],
Context-Sensitive Extraction of Tree Crown Objects in Urban Areas Using VHR Satellite Images,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Tolpekin, V.A.[Valentyn A.], Ardila, J.P.[Juan Pablo], Bijker, W.[Wietske],
Super-Resolution Mapping for Extraction of Urban Tree Crown Objects from VHR Satellite Images,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Bijker, W.[Wietske], Ardila, J.P.[Juan Pablo], Tolpekin, V.A.[Valentyn A.],
Change Detection and Uncertainty in Fuzzy Tree Crown Objects in an Urban Environment,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Yang, Y.[Yun], Lin, Y.[Ying],
A Novel Deformable Model for Urban Vegetation Detection Using LiDAR Data,
CISP09(1-5).
IEEE DOI 0910
BibRef

Huang, H.[Hai],
Terrestrial Image Based 3D Extraction of Urban Unfoliaged Trees of Different Branching Types,
ISPRS08(B3a: 253 ff).
PDF File. 0807
BibRef

Huang, H.[Hai], Mayer, H.[Helmut],
Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach,
DAGM07(385-394).
Springer DOI 0709
BibRef

Carlberg, M.[Matthew], Gao, P.R.[Pei-Ran], Chen, G.[George], Zakhor, A.[Avideh],
Classifying urban landscape in aerial LiDAR using 3D shape analysis,
ICIP09(1701-1704).
IEEE DOI 0911
BibRef

Chen, G.[George], Zakhor, A.[Avideh],
2D tree detection in large urban landscapes using aerial LiDAR data,
ICIP09(1693-1696).
IEEE DOI 0911
BibRef

Secord, J., Zakhor, A.,
Tree Detection in Aerial LiDar and Image Data,
ICIP06(2317-2320).
IEEE DOI 0610
BibRef
And:
Tree detection in LiDAR data,
Southwest06(86-90).
IEEE DOI 0603
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Trees, Forest Canopy Analysis .


Last update:Aug 16, 2018 at 18:22:30