Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14147
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dc.contributor.authorDonald, Grahamen
dc.contributor.authorTrotter, Marken
dc.contributor.authorHulm, Elizabethen
local.source.editorEditor(s): David L Michalk, Geoffrey D Millar, Warwick B Badgery, Kim M Broadfooten
dc.date.accessioned2014-03-06T11:57:00Z
dc.date.issued2013en
dc.identifier.citationRevitalising Grasslands to Sustain our Communities: Proceedings of the 22nd International Grassland Congress, p. 879-880en
dc.identifier.isbn9781742565439en
dc.identifier.isbn9781742565422en
dc.identifier.urihttps://hdl.handle.net/1959.11/14147en
dc.description.abstractLand cover across the southern Australian temperate agricultural region comprises primarily of native pasture, introduced improved pastures and crops for livestock production and also perennial remnant vegetation. A feed-base pasture audit was carried out throughout southern Australia commencing mid-year 2011 (Donald and Burge 2012; Donald et al. 2012). The purpose of the audit was to map and analyse information obtained about the pasture feed-base for livestock production by surveying Statistical Local Areas (SLAs) across the southern states. The purpose of this Feed-Base audit was to survey pastures within agricultural NSW, Victoria, Tasmania, South Australia and South-Western Australia, collate these data into an organised database, and prepare a short report and summarise by tabulating and mapping pasture species abundance and distribution. Data collected were based on "desk-top estimates" by state district agronomists and agricultural consultants. In this paper a method using satellite imagery is described on how more objective assessments of pasture types can be provided as a means to discriminate between the SLA's major pasture classes far more objectively than by visual assessment. Satellite remote sensing may be used to define landcover classes for large regional areas. A number of procedures have been developed to discriminate between pastures, crop and woody vegetation (for example Hill et al. 1997, Emelyanova et al. 2008). In the Hill study (Hill et al. 1997) NOAA AVHRR NDVI provided spatial land cover maps of pasture cover at 1 km resolution. The classifications results in that study showed that satellite information may be used to help in the interpretation of pasture survey results, and in turn, the survey data can provide some validation data for the pasture types ascribed to the remotely sensed classes. In this study daily temporal continental scale imagery from 250m² resolution TERRA and AQUA satellite Moderate Resolution Imaging Spectroradiometer (MODIS) normalised difference vegetation index (NDVI) composited into weekly continental images provided a means to assess temporal profile of spectral greenness over the growing season.en
dc.languageenen
dc.publisherNew South Wales Department of Primary Industryen
dc.relation.ispartofRevitalising Grasslands to Sustain our Communities: Proceedings of the 22nd International Grassland Congressen
dc.titleEstimating pasture land cover in the New England region of Northern New South Walesen
dc.typeConference Publicationen
dc.relation.conference22nd International Grassland Congress: Revitalising Grasslands to Sustain Our Communities, Sydney, Australia, 15th - 19th September, 2013en
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
local.contributor.firstnameGrahamen
local.contributor.firstnameMarken
local.contributor.firstnameElizabethen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.seo2008830499 Pasture, Browse and Fodder Crops not elsewhere classifieden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailgdonald@une.edu.auen
local.profile.emailmtrotte3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20140204-143558en
local.publisher.placeOrange, Australiaen
local.format.startpage879en
local.format.endpage880en
local.peerreviewedYesen
local.contributor.lastnameDonalden
local.contributor.lastnameTrotteren
local.contributor.lastnameHulmen
dc.identifier.staffune-id:gdonalden
dc.identifier.staffune-id:mtrotte3en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:14360en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEstimating pasture land cover in the New England region of Northern New South Walesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.internationalgrasslands.org/publicationsen
local.conference.details22nd International Grassland Congress: Revitalising Grasslands to Sustain Our Communities, Sydney, Australia, 15th - 19th September, 2013en
local.description.statisticsepubsVisitors: 208<br />Views: 208<br />Downloads: 1en
local.search.authorDonald, Grahamen
local.search.authorTrotter, Marken
local.search.authorHulm, Elizabethen
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