Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11540
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dc.contributor.authorTaylor, Subhashnien
dc.contributor.authorKumar, Laliten
dc.contributor.authorReid, Nicken
dc.date.accessioned2012-10-24T14:03:00Z-
dc.date.created2011en
dc.date.issued2012-
dc.identifier.urihttps://hdl.handle.net/1959.11/11540-
dc.description.abstract'Lantana camara' L. (lantana) is a major problem globally and has been declared a weed of national significance (WoNS) in Australia due to its significant negative impacts on Australian biodiversity and agriculture. Development of remote sensing techniques and modelling approaches that can map lantana accurately and project its likely future distribution should be useful for formulation of more effective, long-term management plans. The research reported here comprises seven studies based on remote sensing and modelling techniques that should contribute to better mapping and projected modelling of lantana in an era of climate change. Four image fusion techniques, namely Brovey, Hue-Saturation-Value (HSV), Principal Components (PC) and Gram-Schmidt (GS) Spectral Sharpening, were investigated using Quickbird imagery to identify the most effective fusion algorithm for mapping lantana. The results identified GS and PC spectral sharpening techniques as the most effective for this purpose. Brovey transformation and HSV, on the other hand, performed poorly with much lower overall accuracies. Three commonly available satellite images of varying spectral, spatial and radiometric resolutions from Landsat TM, SPOT 5 and Quickbird were assessed for accuracy and cost effectiveness in lantana mapping. The most cost-effective option was provided by Landsat TM with no significant difference in overall accuracies between the three types of imagery.en
dc.languageenen
dc.titleRemote sensing and modelling the distribution of 'Lantana camara' L. in relation to land-use, soil drainage and climate changeen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
dc.subject.keywordsGeospatial Information Systemsen
local.contributor.firstnameSubhashnien
local.contributor.firstnameLaliten
local.contributor.firstnameNicken
local.subject.for2008090903 Geospatial Information Systemsen
local.subject.seo2008960404 Control of Animal Pests, Diseases and Exotic Species in Forest and Woodlands Environmentsen
dcterms.RightsStatementCopyright 2011 - Bharat Subhashni Mani Tayloren
dc.date.conferred2012en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Educationen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailbtaylo26@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.profile.emailnrei3@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20111205-183537en
local.access.fulltextYesen
local.contributor.lastnameTayloren
local.contributor.lastnameKumaren
local.contributor.lastnameReiden
dc.identifier.staffune-id:btaylo26en
dc.identifier.staffune-id:lkumaren
dc.identifier.staffune-id:nrei3en
local.profile.orcid0000-0002-1624-0901en
local.profile.orcid0000-0002-9205-756Xen
local.profile.orcid0000-0002-4377-9734en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:11739en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRemote sensing and modelling the distribution of 'Lantana camara' L. in relation to land-use, soil drainage and climate changeen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.relation.urlhttp://www.asprs.org/index.php?option=com_content&view=article&id=356&catid=47&Itemid=103en
local.thesis.borndigitalyesen
local.search.authorTaylor, Subhashnien
local.search.supervisorKumar, Laliten
local.search.supervisorReid, Nicken
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/dbe50c59-967d-4d71-b955-b3155725cefcen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/2b92a99d-154a-44ca-aa68-a9e5bb4ac266en
local.uneassociationYesen
local.year.conferred2012en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/2b92a99d-154a-44ca-aa68-a9e5bb4ac266en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/dbe50c59-967d-4d71-b955-b3155725cefcen
local.subject.for2020401302 Geospatial information systems and geospatial data modellingen
local.subject.seo2020180602 Control of pests, diseases and exotic species in terrestrial environmentsen
Appears in Collections:Thesis Doctoral
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