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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10489
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DC FieldValueLanguage
dc.contributor.authorSinha, Priyakanten
dc.contributor.authorKumar, Laliten
local.source.editorEditor(s): Adel Elsharkawyen
dc.date.accessioned2012-06-20T11:22:00Z-
dc.date.issued2012-
dc.identifier.citationProceedings of the Annual International Conference on Sustainable Energy and Environmental Sciences (SEES 2012), p. 50-54en
dc.identifier.issn2251-1903en
dc.identifier.issn2251-189Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/10489-
dc.description.abstractFor cool temperate climatic conditions, the method that suits best for seasonal land-cover change identification remains uncertain. In this study, 11 different binary change detection methods were tested and compared with respect to their capability in detecting land-cover change/no-change information in different seasons. Multi-date Thematic Mapper (TM) data were used for a wide set of change image generation. A relatively new approach was applied for optimal threshold value determination for separate change/no-change areas. Research indicated that irrespective of the method used, the results from NDVI-based techniques outperformed all other tested techniques in change detection process (overall accuracy > 90% and Kappa value > 0.85 for all six change periods).en
dc.languageenen
dc.publisherGlobal Science and Technology Forum (GSTF)en
dc.relation.ispartofProceedings of the Annual International Conference on Sustainable Energy and Environmental Sciences (SEES 2012)en
dc.titleLand-cover change in different season using Landsat TM in parts of NSWen
dc.typeConference Publicationen
dc.relation.conferenceSEES 2012: Annual International Conference on Sustainable Energy and Environmental Sciencesen
dc.subject.keywordsPhotogrammetry and Remote Sensingen
local.contributor.firstnamePriyakanten
local.contributor.firstnameLaliten
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.seo2008960504 Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environmentsen
local.profile.schoolEnvironmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailpsinha@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20120613-152025en
local.date.conference13th - 14th February, 2012en
local.conference.placeSingaporeen
local.publisher.placeSingaporeen
local.format.startpage50en
local.format.endpage54en
local.peerreviewedYesen
local.contributor.lastnameSinhaen
local.contributor.lastnameKumaren
dc.identifier.staffune-id:psinhaen
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:10684en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleLand-cover change in different season using Landsat TM in parts of NSWen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.env-energy.org/PriorYearsPaper2012.htmlen
local.conference.detailsSEES 2012: Annual International Conference on Sustainable Energy and Environmental Sciences, Singapore, 13th - 14th February, 2012en
local.search.authorSinha, Priyakanten
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.year.published2012en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.seo2020180601 Assessment and management of terrestrial ecosystemsen
local.date.start2012-02-13-
local.date.end2012-02-14-
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School of Environmental and Rural Science
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