Characterisation and mapping of forest communities by clustering individual tree crowns

被引:26
作者
Bunting, Peter [1 ]
Lucas, Richard M. [1 ]
Jones, Kerstin [2 ]
Bean, Anthony R. [2 ]
机构
[1] Univ Aberdeen, Inst Geog & Earth Sci, Aberystwyth SY23 3DB, Dyfed, Wales
[2] Brisbane Bot Gardens, Queensland Herbarium, Dept Environm & Resource Management, Toowong, Qld 4066, Australia
关键词
Forests; Savannas; Hyperspectral; Species classification; Injune; Australia; CLASSIFICATION; DELINEATION; IMAGERY; LIDAR; CASI;
D O I
10.1016/j.rse.2010.05.030
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
For many years, the classification of forest communities and their associated species from airborne data (primarily aerial photography) has largely been through manual interpretation. With the development of digital imagery, options for delineating individual crowns and identifying these to species have become available but automated techniques for grouping these into meaningful community descriptions still requires development. This paper proposes a method that links individual tree crowns (classified to species) using graph data structures and minimum spanning trees. The method was applied to tree crowns delineated and mapped to species using hyperspectral CASI data acquired over Injune, central Queensland, Australia. The resulting clusters were attributed with tree level statistics relating to crown area and diversity and were shown to produce mapping comparable to that of manual interpretation of stereo aerial photography. The study concludes that provided reliable tree level mapping of species can be achieved, automated classification of forest communities can be undertaken. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:2536 / 2547
页数:12
相关论文
共 46 条
[41]  
Tanaka H, 1997, ECOLOGY, V78, P612, DOI 10.1890/0012-9658(1997)078[0612:FYOCDA]2.0.CO
[42]  
2
[43]   Quantifying Australian forest floristics and structure using small footprint LiDAR and large scale aerial photography [J].
Tickle, PK ;
Lee, A ;
Lucas, RM ;
Austin, J ;
Witte, C .
FOREST ECOLOGY AND MANAGEMENT, 2006, 223 (1-3) :379-394
[44]  
VANCOILLE FMB, 2006, 1 INT C OBJ BAS IM A
[45]   Color- and texture-based image segmentation for improved forest delineation [J].
Wang, Zuyuan ;
Boesch, Ruedi .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2007, 45 (10) :3055-3062
[46]   Morphological decomposition of 2-D binary shapes into conditionally maximal convex polygons [J].
Xu, JN .
PATTERN RECOGNITION, 1996, 29 (07) :1075-1104