Show simple item record

dc.contributor.author Bunting, Peter J.
dc.contributor.author Lucas, Richard M.
dc.contributor.author Jones, Kirsten
dc.contributor.author Bean, Anthony R.
dc.date.accessioned 2011-05-10T16:01:34Z
dc.date.available 2011-05-10T16:01:34Z
dc.date.issued 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 . , 10.1016/j.rse.2010.05.030 en
dc.identifier.issn 1879-0704
dc.identifier.other PURE: 159504
dc.identifier.other dspace: 2160/6721
dc.identifier.uri http://hdl.handle.net/2160/6721
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.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 Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.rse.2010.05.030
dc.contributor.institution Institute of Geography & Earth Sciences en
dc.contributor.institution Quaternary Environmental Change Group en
dc.description.status Peer reviewed en


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Cadair


Advanced Search

Browse

Statistics