Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7043
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dc.contributor.authorJenkins, Rossen
dc.contributor.authorFrazier, Paulen
dc.contributor.authorLamb, Daviden
dc.contributor.authorWilkes, Janelleen
dc.date.accessioned2010-12-13T11:43:00Z
dc.date.created2009en
dc.date.issued2010en
dc.identifier.urihttps://hdl.handle.net/1959.11/7043en
dc.description.abstractThe last decade has seen major advances in remote sensing technology, particularly in high-resolution satellite imagery and airborne laser scanning (ALS). Fundamental differences in data capture mean that new assessment techniques are required, particularly for vegetation structure and multi-temporal analysis. Here, high-resolution remote sensing tools are developed using a longwall mine subsidence impact assessment framework, based primarily on a scrubby forest-woodland setting on the Woronora Plateau, NSW Australia. Linear regression and t-tests were used to compare vegetation structural metrics from field and ALS data, with ANOVA and post-hoc tests used to determine solar energy and moisture controls on vegetation variation at hillslope scale. Landscape stratification was based on insolation and topographic wetness surfaces derived from ALS-based digital elevation models (DEM). Image matching and linear regression was used to test 3D-method orthorectification accuracy for off-nadir QuickBird imagery using different-resolution DEM. High resolution ALS-derived digital elevation models (DEM) allow pixel-accurate orthorectification of off-nadir imagery, a necessary precursor to multi-temporal image analysis.en
dc.languageenen
dc.titleHigh resolution remote sensing for native vegetation assessment and monitoring: an impact assessment approachen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
dc.subject.keywordsEnvironmental Impact Assessmenten
local.contributor.firstnameRossen
local.contributor.firstnamePaulen
local.contributor.firstnameDaviden
local.contributor.firstnameJanelleen
local.subject.for2008050204 Environmental Impact Assessmenten
local.subject.seo2008960505 Ecosystem Assessment and Management of Forest and Woodlands Environmentsen
local.subject.seo770705 Integrated (ecosystem) assessment and managementen
dcterms.RightsStatementCopyright 2009 - Ross Barrett Jenkinsen
dc.date.conferred2010en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Psychology and Behavioural Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailrjenkins@une.edu.auen
local.profile.emailpfrazier@une.edu.auen
local.profile.emaildlamb@une.edu.auen
local.profile.emailjwilkes2@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20091019-085015en
local.title.subtitlean impact assessment approachen
local.access.fulltextYesen
local.contributor.lastnameJenkinsen
local.contributor.lastnameFrazieren
local.contributor.lastnameLamben
local.contributor.lastnameWilkesen
dc.identifier.staffune-id:rjenkinsen
dc.identifier.staffune-id:pfrazieren
dc.identifier.staffune-id:dlamben
dc.identifier.staffune-id:jwilkes2en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:7209en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleHigh resolution remote sensing for native vegetation assessment and monitoringen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.description.statisticsepubsVisitors: 214<br />Views: 256<br />Downloads: 36en
local.thesis.borndigitalyesen
local.search.authorJenkins, Rossen
local.search.supervisorFrazier, Paulen
local.search.supervisorLamb, Daviden
local.search.supervisorWilkes, Janelleen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/aeb13a72-b526-4702-8ea3-3f5cdb7c1501en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/02cf1827-012e-4038-a3f9-94409125058cen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/b75edbcc-ff17-49ec-8f60-6eddd8ece279en
Appears in Collections:Thesis Doctoral
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