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dc.contributor.authorWilson, Deanna
dc.contributor.authorCorner, Robert
dc.contributor.authorSchut, Antonius
dc.contributor.editorIrena Hajnsek, Helmut Rott
dc.date.accessioned2017-01-30T11:04:00Z
dc.date.available2017-01-30T11:04:00Z
dc.date.created2013-04-02T20:00:25Z
dc.date.issued2012
dc.identifier.citationWilson, D. and Corner, R. and Schut, T. 2012. Object based data fusion of landform and ancillary data for upscaling soil-landscape mapping in the western Australian pastoral rangelands, in Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Remote Sensing for a Dynamic Earth, Jul 22-27 2012, pp. 7569-7572. Munich, Germany: Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/8017
dc.identifier.doi10.1109/IGARSS.2012.6351910
dc.description.abstract

We have investigated methods to derive landform and vegetation data from a Digital Elevation Model and remote sensing, using classification and segmentation. These data are required to upscale existing regional level landsystem mapping to a higher spatial and thematic resolution (subsystems). In turn the land subsystem data will be used to support rangeland condition mapping in a large area of leasehold rangeland. The derived landform and vegetation classes have been tested against available landsystem mapping derived by conventional methods and have shown promising relationships. These classifications need to be further revised prior to their use in either an object based or probabilistic classifier.

dc.publisherIEEE
dc.subjectdigital elevation models
dc.subjectgeographic information systems
dc.subjectland surface
dc.subjectremote sensing
dc.titleObject based data fusion of landform and ancillary data for upscaling soil-landscape mapping in the western Australian pastoral rangelands
dc.typeConference Paper
dcterms.source.titleIGARS 2012, IEEE International Geoscience and Remote Sensing Symposium: Remote Sensing for a Dynamic Earth
dcterms.source.seriesIGARS 2012, IEEE International Geoscience and Remote Sensing Symposium: Remote Sensing for a Dynamic Earth
dcterms.source.isbn978-1-4673-1159-5
dcterms.source.conferenceIGARS 2012 Symposium
dcterms.source.conference-start-dateJul 22 2012
dcterms.source.conferencelocationMunich, Germany
dcterms.source.placeUSA
curtin.department
curtin.accessStatusFulltext not available


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