Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18371
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dc.contributor.authorRahman, Muhammad Moshiuren
dc.contributor.authorLamb, Daviden
dc.contributor.authorGuppy, Christopheren
dc.contributor.authorStanley, Johnen
dc.date.accessioned2016-01-08T15:04:00Z-
dc.date.created2015en
dc.date.issued2015-
dc.identifier.urihttps://hdl.handle.net/1959.11/18371-
dc.description.abstractThe ability to quantify pasture biomass and growth rate is of prime importance to the sustainability and profitability of extensive livestock industries, specifically as it relates to provide information for better farm management decisions. Assessment of pasture growth rate (PGR, kg/ha.day) using remote sensing has gained considerable interest to the farm managers for livestock grazing management. The context of this research is to investigate the use of in situ sensors and a light use efficiency (LUE) model to estimate PGR. A key parameter in this model is the light interception by the canopy, or fAPAR. Measuring fAPAR using active optical sensors (AOS) introduces new challenges hitherto not appreciated using traditional passive optical sensors and so a considerable portion of this work focusses on the derivation of fAPAR from a widely used optical reflectance index, the normalized difference vegetation index (NDVI). Therefore this research project comprises of two main components: (i) investigating an AOS to infer the fraction of absorbed photosynthetically active radiation (fAPAR) by the plant, a key variable in LUE model; and (ii) evaluating the LUE model using in situ sensors for estimating of PGR (kg/ha.day) at the sub field scale.en
dc.languageenen
dc.titleUsing Active Optical Sensing for Determining Pasture Growth Rate Using a Light Use Efficiency Modelen
dc.typeThesis Doctoralen
dc.subject.keywordsAgronomyen
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
dc.subject.keywordsAgricultural Land Managementen
local.contributor.firstnameMuhammad Moshiuren
local.contributor.firstnameDaviden
local.contributor.firstnameChristopheren
local.contributor.firstnameJohnen
local.access.embargoedto2017-10-23en
local.subject.for2008070302 Agronomyen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.for2008070101 Agricultural Land Managementen
local.subject.seo2008961402 Farmland, Arable Cropland and Permanent Cropland Soilsen
dcterms.RightsStatementCopyright 2015 - Muhammad Moshiur Rahmanen
dc.date.conferred2015en
local.hos.emailhoshass@une.edu.auen
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolOffice of Faculty of Science, Agriculture, Business and Lawen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailmrahma37@une.edu.auen
local.profile.emaildlamb@une.edu.auen
local.profile.emailcguppy@une.edu.auen
local.profile.emailjstanle4@une.edu.auen
local.output.categoryT2en
local.access.restrictedtoAccess restricted until 2017-10-23en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20150505-093155en
local.access.fulltextNoen
local.contributor.lastnameRahmanen
local.contributor.lastnameLamben
local.contributor.lastnameGuppyen
local.contributor.lastnameStanleyen
dc.identifier.staffune-id:mrahma37en
dc.identifier.staffune-id:dlamben
dc.identifier.staffune-id:cguppyen
dc.identifier.staffune-id:jstanle4en
local.profile.orcid0000-0001-6430-0588en
local.profile.orcid0000-0001-7274-607Xen
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:18575en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUsing Active Optical Sensing for Determining Pasture Growth Rate Using a Light Use Efficiency Modelen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.access.restrictuntil2017-10-23en
local.school.graduationSchool of Humanities, Arts & Social Sciencesen
local.thesis.borndigitalyesen
local.search.authorRahman, Muhammad Moshiuren
local.search.supervisorLamb, Daviden
local.search.supervisorGuppy, Christopheren
local.search.supervisorStanley, Johnen
local.uneassociationYesen
local.year.conferred2015en
local.subject.for2020300403 Agronomyen
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.for2020300202 Agricultural land managementen
local.subject.seo2020180605 Soilsen
Appears in Collections:Thesis Doctoral
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