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dc.contributor.author Lucas, Richard M.
dc.contributor.author Bunting, Peter J.
dc.date.accessioned 2008-12-15T16:31:38Z
dc.date.available 2008-12-15T16:31:38Z
dc.date.issued 2006-03-30
dc.identifier.citation Lucas , R M & Bunting , P J 2006 , ' The delineation of tree crowns in Australian mixed species forests using hyperspectral Compact Airborne Spectrographic Imager (CASI) data ' Remote Sensing of Environment , vol 101 , no. 2 , pp. 230-248 . , 10.1016/j.rse.2005.12.015 en
dc.identifier.issn 0034-4257
dc.identifier.other PURE: 94725
dc.identifier.other dspace: 2160/1661
dc.identifier.uri http://hdl.handle.net/2160/1661
dc.description Bunting, Peter, Lucas, R.M., (2006) 'The delineation of tree crowns in Australian mixed species forests using hyperspectral Compact Airborne Spectrographic Imager (CASI) data', Remote Sensing of Environment 101(2) pp.230-248 RAE2008 en
dc.description.abstract In mixed-species forests of complex structure, the delineation of tree crowns is problematic because of their varying dimensions and reflectance characteristics, the existence of several layers of canopy (including understorey), and shadowing within and between crowns. To overcome this problem, an algorithm for delineating tree crowns has been developed using eCognition Expert and hyperspectral Compact Airborne Spectrographic Imager (CASI-2) data acquired over a forested landscape near Injune, central east Queensland, Australia. The algorithm has six components: 1) the differentiation of forest, non-forest and understorey; 2) initial segmentation of the forest area and allocation of segments (objects) to larger objects associated with forest spectral types (FSTs); 3) initial identification of object maxima as seeds within these larger objects and their expansion to the edges of crowns or clusters of crowns; 4) subsequent classification-based separation of the resulting objects into crown or cluster classes; 5) further iterative splitting of the cluster classes to delineate more crowns; and 6) identification and subsequent merging of oversplit objects into crowns or clusters. In forests with a high density of individuals (e.g., regrowth), objects associated with tree clusters rather than crowns are delineated and local maxima counted to approximate density. With reference to field data, the delineation process provided accuracies > 70% (range 48–88%) for individuals or clusters of trees of the same species with diameter at breast height (DBH) exceeding 10 cm (senescent and dead trees excluded), with lower accuracies associated with dense stands containing several canopy layers, as many trees were obscured from the view of the CASI sensor. Although developed using 1-m spatial resolution CASI data acquired over Australian forests, the algorithm has application elsewhere and is currently being considered for integration into the Definiens product portfolio for use by the wider community. en
dc.format.extent 19 en
dc.language.iso eng
dc.relation.ispartof Remote Sensing of Environment en
dc.title The delineation of tree crowns in Australian mixed species forests using hyperspectral Compact Airborne Spectrographic Imager (CASI) data en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.rse.2005.12.015
dc.contributor.institution Institute of Geography & Earth Sciences en
dc.contributor.institution Quaternary Environmental Change Group en
dc.description.status Peer reviewed en


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