IDENTIFICATION AND MAPPING OF TREE SPECIES IN URBAN AREAS USING WORLDVIEW-2 IMAGERY

被引:13
作者
Mustafa, Y. T. [1 ]
Habeeb, H. N. [2 ]
Stein, A. [3 ]
Sulaiman, F. Y. [2 ]
机构
[1] Univ Zakho, Fac Sci, Zakho, Kurdistan Regio, Iraq
[2] Directorate Forestry, Duhok, Kurdistan Regio, Iraq
[3] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
来源
ISPRS JOINT INTERNATIONAL GEOINFORMATION CONFERENCE 2015 | 2015年 / II-2卷 / W2期
关键词
Urban tree species; Supervised classification; VHR imagery; Kurdistan Region of Iraq; LAND-COVER CLASSIFICATION; SPATIAL-RESOLUTION IKONOS; TEXTURE;
D O I
10.5194/isprsannals-II-2-W2-175-2015
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Monitoring and mapping of urban trees are essential to provide urban forestry authorities with timely and consistent information. Modern techniques increasingly facilitate these tasks, but require the development of semi-automatic tree detection and classification methods. In this article, we propose an approach to delineate and map the crown of 15 tree species in the city of Duhok, Kurdistan Region of Iraq using WorldView-2 (WV-2) imagery. A tree crown object is identified first and is subsequently delineated as an image object (IO) using vegetation indices and texture measurements. Next, three classification methods: Maximum Likelihood, Neural Network, and Support Vector Machine were used to classify IOs using selected IO features. The best results are obtained with Support Vector Machine classification that gives the best map of urban tree species in Duhok. The overall accuracy was between 60.93% to 88.92% and kappa-coefficient was between 0.57 to 0.75. We conclude that fifteen tree species were identified and mapped at a satisfactory accuracy in urban areas of this study.
引用
收藏
页码:175 / 181
页数:7
相关论文
共 21 条
  • [1] Ahmed S.A., 2011, Proc. 2nd National Conference on Emerging Trends and Applications in Computer Science (NCETACS), P1
  • [2] [Anonymous], 2009, ASSESSING ACCURACY R
  • [3] Quantification of crown changes and change uncertainty of trees in an urban environment
    Ardila, Juan P.
    Bijker, Wietske
    Tolpekin, Valentyn A.
    Stein, Alfred
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 74 : 41 - 55
  • [4] Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images
    Ardila, Juan P.
    Tolpekin, Valentyn A.
    Bijker, Wietske
    Stein, Alfred
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2011, 66 (06) : 762 - 775
  • [5] Object based image analysis for remote sensing
    Blaschke, T.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (01) : 2 - 16
  • [6] Congalton R. G., 1988, PHOTOGRAMMETRIC ENG, P54593
  • [7] DigitalGlobe, 2009, BEN 8 SPECTR BANDS W
  • [8] Ferro CJS, 2002, PHOTOGRAMM ENG REM S, V68, P51
  • [9] TEXTURAL FEATURES FOR IMAGE CLASSIFICATION
    HARALICK, RM
    SHANMUGAM, K
    DINSTEIN, I
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06): : 610 - 621
  • [10] Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues
    Kim, Minho
    Madden, Marguerite
    Warner, Timothy A.
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2009, 75 (07) : 819 - 829