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    Proximal Monitoring in Landscape Environments

    Ng S 2017 part.pdf (8.133Mb)
    Access Status
    Open access
    Authors
    Ng, Shuqi
    Date
    2017
    Supervisor
    Prof. Louis Caccetta
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/59697
    Collection
    • Curtin Theses
    Abstract

    This thesis validates the use of stereo-cameras as a cost and time efficient technology to monitor environmental indicators. Tree dendrometrics can be measured quite accurately from stereo-images of trees. From these measurements, aboveground biomass is predicted using allometric models where the deviations from ground truth harvest data is smaller compared to traditional methods of estimation The prediction of tree biomass is of significance as it provides an effective non-destructive method for carbon accounting. This work was done in collaboration with CSIRO.

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