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  • Modelling vegetation structure-based bird habitat resources in Australian temperate woodlands, using multi-sensors

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    Author(s)
    Lee, Peter S
    Mackey, Brendan G
    Berry, Sandra L
    Griffith University Author(s)
    Mackey, Brendan
    Year published
    2013
    Metadata
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    Abstract
    The Great Western Woodlands in S.W. Australia is the largest remaining expanse of temperate woodland on the continent and globally, providing habitat for a significance number of bird species. Conservation planning needs information about bird distributions and habitat resource requirements. Using published information, bird habitat functional groups were identified based upon species that use similar vegetation-based resources. Data from four satellite-borne sensors were analysed to model the distribution of a subset of the key vegetation variables. These results were then used to predict the potential distribution of the ...
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    The Great Western Woodlands in S.W. Australia is the largest remaining expanse of temperate woodland on the continent and globally, providing habitat for a significance number of bird species. Conservation planning needs information about bird distributions and habitat resource requirements. Using published information, bird habitat functional groups were identified based upon species that use similar vegetation-based resources. Data from four satellite-borne sensors were analysed to model the distribution of a subset of the key vegetation variables. These results were then used to predict the potential distribution of the functional groups. Field validation suggests ongoing advances in satellite data will enhance the model's accuracy. - See more at: http://www.aitjournal.com/articleView.aspx?ID=845#sthash.fk6nxobD.dpuf
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    Journal Title
    European Journal of Remote Sensing
    Volume
    46
    Issue
    1
    DOI
    https://doi.org/10.5721/EuJRS20134638
    Copyright Statement
    © The Author(s) 2013. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Other environmental sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/60571
    Collection
    • Journal articles

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