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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31724
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dc.contributor.authorBrinkhoff, Jamesen
dc.contributor.authorSchultz, Alexen
dc.contributor.authorSuarez, Luz Angelicaen
dc.contributor.authorRobson, Andrew Jen
dc.date.accessioned2021-10-18T01:14:50Z-
dc.date.available2021-10-18T01:14:50Z-
dc.date.issued2021-10-12-
dc.identifier.citationIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, p. 5826-5829en
dc.identifier.isbn9781665403696en
dc.identifier.isbn9781665403689en
dc.identifier.isbn9781665447621en
dc.identifier.issn2153-7003en
dc.identifier.issn2153-6996en
dc.identifier.urihttps://hdl.handle.net/1959.11/31724-
dc.description.abstract<p>Daily calibrated multispectral imagery (Planet Fusion) of an olive irrigation deficit trial was used to assess the degree and speed to which vegetation indices indicate water stress. We developed normalization techniques to increase sensitivity to differences across a grove. The normalized difference vegetation index (NDVI) was able to significantly detect differences between the control and deficit treatments for the Arbequina variety. For the Picual variety, the green red vegetation index (GRVI) was the best indicator. Though multispectral imagery is not as quick at indicating irrigation deficits as in-field sensor data, it is complementary in being able to capture the spatial variability of water stress.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposiumen
dc.titleOlive Tree Water Stress Detection Using Daily Multispectral Imageryen
dc.typeConference Publicationen
dc.relation.conferenceIGARSS 2021: International Geoscience and Remote Sensing Symposiumen
dc.identifier.doi10.1109/IGARSS47720.2021.9553729en
local.contributor.firstnameJamesen
local.contributor.firstnameAlexen
local.contributor.firstnameLuz Angelicaen
local.contributor.firstnameAndrew Jen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailjbrinkho@une.edu.auen
local.profile.emaillsuarezc@une.edu.auen
local.profile.emailarobson7@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference11th - 16th July, 2021en
local.conference.placeBrussels, Belgiumen
local.publisher.placeDanvers, United States of Americaen
local.format.startpage5826en
local.format.endpage5829en
local.identifier.scopusid85123406420en
local.peerreviewedYesen
local.contributor.lastnameBrinkhoffen
local.contributor.lastnameSchultzen
local.contributor.lastnameSuarezen
local.contributor.lastnameRobsonen
dc.identifier.staffune-id:jbrinkhoen
dc.identifier.staffune-id:lsuarezcen
dc.identifier.staffune-id:arobson7en
local.profile.orcid0000-0002-0721-2458en
local.profile.orcid0000-0001-5762-8980en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/31724en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleOlive Tree Water Stress Detection Using Daily Multispectral Imageryen
local.relation.fundingsourcenoteAustralian Government Department of Agriculture and Water Resources as part of its Rural Research and Development for Profit program, and Horticulture Innovation Australia Ltd., grant number ST19008 (Multi-scale Monitoring Tools for Managing Australian Tree Crops-Phase 2).en
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsIGARSS 2021: International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 11th - 16th July, 2021en
local.search.authorBrinkhoff, Jamesen
local.search.authorSchultz, Alexen
local.search.authorSuarez, Luz Angelicaen
local.search.authorRobson, Andrew Jen
local.uneassociationYesen
dc.date.presented2021-07-13-
local.atsiresearchNoen
local.conference.venueOnline Eventen
local.sensitive.culturalNoen
local.year.published2021en
local.year.presented2021en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/886d993f-c78b-48b4-b5eb-8336be5e0b5een
local.subject.for2020300802 Horticultural crop growth and developmenten
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.seo2020260509 Olivesen
local.date.start2021-07-11-
local.date.end2021-07-16-
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