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    Spatial statistical analysis of tree deaths using airborne digital imagery

    Access Status
    Fulltext not available
    Authors
    Chang, Y.
    Baddeley, Adrian
    Wallace, J.
    Canci, M.
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Chang, Y. and Baddeley, A. and Wallace, J. and Canci, M. 2012. Spatial statistical analysis of tree deaths using airborne digital imagery. International Journal of Applied Earth Observation and Geoinformation. 21 (1): pp. 418-426.
    Source Title
    International Journal of Applied Earth Observation and Geoinformation
    DOI
    10.1016/j.jag.2012.04.006
    ISSN
    1569-8432
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/21226
    Collection
    • Curtin Research Publications
    Abstract

    High resolution digital airborne imagery offers unprecedented opportunities for observation and monitoring of vegetation, providing the potential to identify, locate and track individual vegetation objects over time. Analytical tools are required to quantify relevant information. In this paper, locations of trees over a large area of native woodland vegetation were identified using morphological image analysis techniques. Methods of spatial point process statistics were then applied to estimate the spatially-varying tree death risk, and to show that it is significantly non-uniform. [Tree deaths over the area were detected in our previous work (Wallace et al., 2008).] The study area is a major source of ground water for the city of Perth, and the work was motivated by the need to understand and quantify vegetation changes in the context of water extraction and drying climate. The influence of hydrological variables on tree death risk was investigated using spatial statistics (graphical exploratory methods, spatial point pattern modelling and diagnostics). © 2012 Elsevier B.V.

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