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GIS and Remote Sensing based land cover change detection, prediction modeling and assessment of change on biodiversity using time-series data

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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
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cris.virtualsource.department438e0410-9d41-4817-8c99-31215ac9f7f9
cris.virtualsource.department2c356e33-33e1-46d3-b1dc-1bcb95b1b6d3
cris.virtualsource.orcid438e0410-9d41-4817-8c99-31215ac9f7f9
cris.virtualsource.orcid2c356e33-33e1-46d3-b1dc-1bcb95b1b6d3
dc.contributor.authorSinha, Priyakanten
dc.contributor.authorKumar, Laliten
dc.contributor.authorReid, Nicken
dc.date.accessioned2013-11-13T17:27:00Z
dc.date.conferred2013en
dc.date.created2012en
dc.date.issued2013
dc.description.abstractVarious anthropogenic transformations and modifications have continuously modified and/or changed the land cover for centuries for different forms of human productions. These ultimately impacted or changed the biodiversity, nutrient and hydrological cycles as well as global environment and climate, especially in the developing world. Australia has a great variety of native vegetation ranging from rainforests, alpine habitats, wetlands, grasslands, eucalypt forests and woodlands reflecting the diversity of species, habitats and ecosystems found across the country. The destruction of habitat due to native vegetation clearing has been identified as the greatest single threat to biodiversity in New South Wales (NSW), Australia. The clearing has mainly taken place in grassy woodlands areas for pasture improvement by the application of fertilizers, ploughing and the sowing of introduced grasses and clovers. This research explored the potential of a range of remote sensing and modelling techniques to assist in the investigation of suitability of land cover mapping in terms of time-period, methods, and seasonal and long term land cover change in the north-eastern parts of NSW, Australia. The overall aim of this research was to investigate the potential of remote sensing, GIS and modelling techniques in detailed investigations of seasonal and nearly four decadal land cover change analysis and assessment of long term pattern of land cover change for future change predictions. The research also aimed at assessing the impact of land cover change on terrestrial habitat configurations.en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.staffune-id:psinha2en
dc.identifier.staffune-id:lkumaren
dc.identifier.staffune-id:nrei3en
dc.identifier.urihttps://hdl.handle.net/1959.11/13635
dc.languageenen
dc.subject.keywordsConservation and Biodiversityen
dc.titleGIS and Remote Sensing based land cover change detection, prediction modeling and assessment of change on biodiversity using time-series dataen
dc.typeThesis Doctoralen
dcterms.RightsStatementCopyright 2012 - Priyakant Sinhaen
dcterms.accessRightsUNE Greenen
dspace.entity.typePublication
local.access.fulltextYesen
local.contributor.firstnamePriyakanten
local.contributor.firstnameLaliten
local.contributor.firstnameNicken
local.contributor.grantorUniversity of New Englanden
local.contributor.lastnameSinhaen
local.contributor.lastnameKumaren
local.contributor.lastnameReiden
local.description.statisticsepubsVisitors: 249<br />Views: 266<br />Downloads: 68en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/ac75192b-477b-4e94-8d34-d887ba2f75f7en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/8829aae0-86f4-4c50-9fda-9cb806f21674en
local.identifier.epublicationsrecordune_thesis-20120820-154326en
local.identifier.unepublicationidune:13847en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/8829aae0-86f4-4c50-9fda-9cb806f21674en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/ac75192b-477b-4e94-8d34-d887ba2f75f7en
local.output.categoryT2en
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.profile.emailpsinha2@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.profile.emailnrei3@une.edu.auen
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local.profile.orcid0000-0002-9205-756Xen
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local.profile.roleauthoren
local.profile.rolesupervisoren
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local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
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local.record.institutionUniversity of New Englanden
local.record.placeauen
local.search.authorSinha, Priyakanten
local.search.supervisorKumar, Laliten
local.search.supervisorReid, Nicken
local.subject.for2008050202 Conservation and Biodiversityen
local.subject.for2020410401 Conservation and biodiversityen
local.subject.seo2008960503 Ecosystem Assessment and Management of Coastal and Estuarine Environmentsen
local.subject.seo2020180601 Assessment and management of terrestrial ecosystemsen
local.thesis.borndigitalyesen
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.title.maintitleGIS and Remote Sensing based land cover change detection, prediction modeling and assessment of change on biodiversity using time-series dataen
local.uneassociationYesen
local.year.conferred2013en
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Thesis Doctoral
School of Environmental and Rural Science