Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30131
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dc.contributor.authorSchneider, Dereken
dc.coverage.spatial151.59032730102535,-30.43422092679961; 151.58979321899469,-30.467356827806153; 151.6979398045628,-30.467691079535552; 151.69700525689407,-30.39652843057612; 151.5907945748536,-30.39587441263716en
dc.date.accessioned2021-02-25T05:02:50Z-
dc.date.available2021-02-25T05:02:50Z-
dc.date.issued2021-02-25-
dc.identifier.urihttps://hdl.handle.net/1959.11/30131-
dc.descriptionPlease contact Derek Schneider (dschnei5@une.edu.au) for access to the dataset.en
dc.description.abstractThis data set contains the results from pasture sampling campaigns performed on the UNE SMART Farms. Monthly sampling began in December 2018 and is ongoing, as of February 2021. Sampling is designed to generate data suitable for building and validating pasture monitoring models and algorithms utilising optical remote sensing and proximally sensed pasture monitoring platforms. On each sampling date up to 10 locations are chosen and 3 replicate samples are taken at each site. Sites are chosen that are relatively uniform in nature. Replicates are chosen which act to describe the general area, we perform a cut at a location that visual appears average for the surrounding ~100m2, slightly above average and slightly below average. This allows for correlation with satellite data of multiple spatial resolution. The data set includes objective NDVI data taken with a Holland Scientific ACS211 CropCircle, pasture height information and an estimate of green percentage, along with subjective visual estimates of pasture parameters which correspond to each physical pasture cut. Access and further information about the dataset can be obtained by contacting the dataset creator.en
dc.format.extentSQL Database Tableen
dc.languageenen
dc.publisherUniversity of New Englanden
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSMART Farms Pasture Sampling Dataen
dc.typeDataseten
dc.identifier.doi10.25952/jqy8-3a89en
dcterms.accessRightsMediateden
dcterms.rightsHolderDerek Schneideren
dc.subject.keywordsPastureen
dc.subject.keywordsDry Matteren
dc.subject.keywordsGrazing Managementen
dc.subject.keywordsSMART Farmsen
dc.subject.keywordsFeeden
dc.subject.keywordsLivestocken
local.contributor.firstnameDereken
local.subject.for2008070107 Farming Systems Researchen
local.subject.seo2008830499 Pasture, Browse and Fodder Crops not elsewhere classifieden
local.subject.seo2008830403 Native and Residual Pasturesen
local.subject.seo2008830406 Sown Pastures (excl. Lucerne)en
local.profile.schoolSchool of Science and Technologyen
local.profile.emaildschnei5@une.edu.auen
local.output.categoryXen
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australiaen
local.contributor.lastnameSchneideren
dc.identifier.staffune-id:dschnei5en
local.profile.orcid0000-0002-1897-4175en
local.profile.rolecreatoren
local.identifier.unepublicationidune:1959.11/30131en
dc.identifier.academiclevelAcademicen
local.title.maintitleSMART Farms Pasture Sampling Dataen
local.output.categorydescriptionX Dataseten
local.search.authorSchneider, Dereken
dcterms.rightsHolder.managedbyDerek Schneideren
local.datasetcontact.nameDerek Schneideren
local.datasetcontact.emaildschnei5@une.edu.auen
local.datasetcustodian.nameDerek Schneideren
local.datasetcustodian.emaildschnei5@une.edu.auen
local.datasetcontact.detailsDerek Schneider - dschnei5@une.edu.auen
local.datasetcustodian.detailsDerek Schneider - dschnei5@une.edu.auen
dcterms.ispartof.projectUNE SMART Farms - Pasture Monitoringen
dcterms.source.datasetlocationUniversity of New Englanden
local.uneassociationUnknownen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021en
local.subject.for2020300207 Agricultural systems analysis and modellingen
local.subject.seo2020100503 Native and residual pasturesen
local.subject.seo2020100505 Sown pastures (excl. lucerne)en
Appears in Collections:Dataset
School of Science and Technology
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