Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/15169
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dc.contributor.authorVerma, Nivaen
dc.contributor.authorLamb, Daviden
dc.contributor.authorReid, Nicken
dc.contributor.authorWilson, Brianen
dc.date.accessioned2014-05-30T14:29:00Z
dc.date.issued2014en
dc.identifier.citationPhotogrammetric Engineering and Remote Sensing, 80(5), p. 461-470en
dc.identifier.issn0099-1112en
dc.identifier.urihttps://hdl.handle.net/1959.11/15169en
dc.description.abstractHigh spatial resolution images (~10 cm) are routinely available from airborne platforms. Few studies have examined the applicability of using such data to characterize land cover in "farmscapes" comprising open pasture and remnant vegetation communities of varying density. Very high spatial resolution remotely sensed imagery has been used to classify land cover classes on a ~5000 ha extensive grazing farm in Australia. This "farmscape" consisted of open pasture fields, scattered trees, and remnant vegetation (woodlands). The relative performances of object-based and pixel-based approaches to classification were tested for accuracy and applicability. Maximum likelihood classification (MLC) was used for pixel-based classification while the k-nearest neighbor (k-NN) technique was used for object-based classification. A range of image sampling scales was tested for image segmentation. At an optimal sampling scale, the pixel-based classification resulted in an overall accuracy of 77 percent, while the object-based classification achieved an overall accuracy of 86 percent. While both the object- and pixel-based classification techniques yielded higher quantitative accuracies, a "more realistic" land cover classification, with few errors due to intermixing of similar classes, was achieved using the object-based method.en
dc.languageenen
dc.publisherAmerican Society for Photogrammetry and Remote Sensingen
dc.relation.ispartofPhotogrammetric Engineering and Remote Sensingen
dc.titleA Comparative Study of Land Cover Classification Techniques for "Farmscapes" Using Very High Resolution Remotely Sensed Dataen
dc.typeJournal Articleen
dc.identifier.doi10.14358/PERS.80.5.461en
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
local.contributor.firstnameNivaen
local.contributor.firstnameDaviden
local.contributor.firstnameNicken
local.contributor.firstnameBrianen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.seo2008960604 Environmental Management Systemsen
local.profile.schoolSchool of Humanities, Arts and Social Sciencesen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailnverma3@une.edu.auen
local.profile.emaildlamb@une.edu.auen
local.profile.emailnrei3@une.edu.auen
local.profile.emailbwilson7@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20140530-132747en
local.publisher.placeUnited States of Americaen
local.format.startpage461en
local.format.endpage470en
local.peerreviewedYesen
local.identifier.volume80en
local.identifier.issue5en
local.contributor.lastnameVermaen
local.contributor.lastnameLamben
local.contributor.lastnameReiden
local.contributor.lastnameWilsonen
dc.identifier.staffune-id:nverma3en
dc.identifier.staffune-id:dlamben
dc.identifier.staffune-id:nrei3en
dc.identifier.staffune-id:bwilson7en
local.profile.orcid0000-0002-4377-9734en
local.profile.orcid0000-0002-7983-0909en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:15385en
local.identifier.handlehttps://hdl.handle.net/1959.11/15169en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Comparative Study of Land Cover Classification Techniques for "Farmscapes" Using Very High Resolution Remotely Sensed Dataen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.description.statisticsepubsVisitors: 738<br />Views: 788<br />Downloads: 2en
local.search.authorVerma, Nivaen
local.search.authorLamb, Daviden
local.search.authorReid, Nicken
local.search.authorWilson, Brianen
Appears in Collections:Journal Article
School of Environmental and Rural Science
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