Show simple item record Bunting, Peter J. Lucas, Richard M. Jones, Kirsten Bean, Anthony R. 2011-05-10T16:01:34Z 2011-05-10T16:01:34Z 2010-11-15
dc.identifier.citation Bunting , P J , Lucas , R M , Jones , K & Bean , A R 2010 , ' Characterisation and mapping of forest communities by clustering individual tree crowns ' Remote Sensing of Environment , vol 114 , no. 11 , pp. 2536-2547 . DOI: 10.1016/j.rse.2010.05.030 en
dc.identifier.issn 1879-0704
dc.identifier.other PURE: 159504
dc.identifier.other PURE UUID: a4e4d5c2-8519-4bf8-953c-9e2e99d49ffc
dc.identifier.other dspace: 2160/6721
dc.identifier.other DSpace_20121128.csv: row: 4019
dc.identifier.other RAD: 4810
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 2049
dc.identifier.other RAD: 306
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 101
dc.identifier.other Scopus: 77956172362
dc.description Peter Bunting, Richard M. Lucas, Kerstin Jones, Anthony R. Bean. (2010). Characterisation and mapping of forest communities by clustering individual tree crowns. Remote Sensing of Environment, 114 (11), 2536-2547 en
dc.description.abstract 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. en
dc.format.extent 12 en
dc.language.iso eng
dc.relation.ispartof Remote Sensing of Environment en
dc.rights en
dc.subject Forests en
dc.subject Savannas en
dc.subject Hyperspectral en
dc.subject Species classification en
dc.subject Injune en
dc.subject Australia en
dc.title Characterisation and mapping of forest communities by clustering individual tree crowns en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Department of Geography and Earth Sciences en
dc.contributor.institution Quaternary Environmental Change Group en
dc.description.status Peer reviewed en

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