Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/60000
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dc.contributor.authorWu, Danen
dc.contributor.authorJohansen, Kasperen
dc.contributor.authorPhinn, Stuarten
dc.contributor.authorRobson, Andrewen
dc.date.accessioned2024-05-27T01:21:19Z-
dc.date.available2024-05-27T01:21:19Z-
dc.date.issued2020-
dc.identifier.citationRemote Sensing, 12(10), p. 1-23en
dc.identifier.issn2072-4292en
dc.identifier.urihttps://hdl.handle.net/1959.11/60000-
dc.description.abstract<p>Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS) systems are useful tools for deriving horticultural tree structure estimates. However, there are limited studies to guide growers and agronomists on different applications of the two technologies for horticultural tree crops, despite the importance of measuring tree structure for pruning practices, yield forecasting, tree condition assessment, irrigation and fertilization optimization. Here, we evaluated ALS data against near coincident TLS data in avocado, macadamia and mango orchards to demonstrate and assess their accuracies and potential application for mapping crown area, fractional cover, maximum crown height, and crown volume. ALS and TLS measurements were similar for crown area, fractional cover and maximum crown height (coefficient of determination (R2 ) ≥ 0.94, relative root mean square error (rRMSE) ≤ 4.47%). Due to the limited ability of ALS data to measure lower branches and within crown structure, crown volume estimates from ALS and TLS data were less correlated (R 2 = 0.81, rRMSE = 42.66%) with the ALS data found to consistently underestimate crown volume. To illustrate the effects of different spatial resolution, capacity and coverage of ALS and TLS data, we also calculated leaf area, leaf area density and vertical leaf area profile from the TLS data, while canopy height, tree row dimensions and tree counts) at the orchard level were calculated from ALS data. Our results showed that ALS data have the ability to accurately measure horticultural crown structural parameters, which mainly rely on top of crown information, and measurements of hedgerow width, length and tree counts at the orchard scale is also achievable. While the use of TLS data to map crown structure can only cover a limited number of trees, the assessment of all crown strata is achievable, allowing measurements of crown volume, leaf area density and vertical leaf area profile to be derived for individual trees. This study provides information for growers and horticultural industries on the capacities and achievable mapping accuracies of standard ALS data for calculating crown structural attributes of horticultural tree crops.</p>en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofRemote Sensingen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSuitability of Airborne and Terrestrial Laser Scanning for Mapping Tree Crop Structural Metrics for Improved Orchard Managementen
dc.typeJournal Articleen
dc.identifier.doi10.3390/rs12101647en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameDanen
local.contributor.firstnameKasperen
local.contributor.firstnameStuarten
local.contributor.firstnameAndrewen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailarobson7@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber1647en
local.format.startpage1en
local.format.endpage23en
local.peerreviewedYesen
local.identifier.volume12en
local.identifier.issue10en
local.access.fulltextYesen
local.contributor.lastnameWuen
local.contributor.lastnameJohansenen
local.contributor.lastnamePhinnen
local.contributor.lastnameRobsonen
dc.identifier.staffune-id:arobson7en
local.profile.orcid0000-0001-5762-8980en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/60000en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSuitability of Airborne and Terrestrial Laser Scanning for Mapping Tree Crop Structural Metrics for Improved Orchard Managementen
local.relation.fundingsourcenoteThe authors acknowledge the Australian Federal Government "Rural R and D for Profit" scheme and Horticulture Innovation Australia for funding this researchen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorWu, Danen
local.search.authorJohansen, Kasperen
local.search.authorPhinn, Stuarten
local.search.authorRobson, Andrewen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/b9c32319-7d64-4cc7-bf0f-9245e8326e4cen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2020en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/b9c32319-7d64-4cc7-bf0f-9245e8326e4cen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/b9c32319-7d64-4cc7-bf0f-9245e8326e4cen
local.subject.for20203002 Agriculture, land and farm managementen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.date.moved2024-06-07en
Appears in Collections:Journal Article
School of Science and Technology
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