Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22021
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dc.contributor.authorAl-Kindi, Khalifa Men
dc.contributor.authorKwan, Paulen
dc.contributor.authorAndrew, Nigel Ren
dc.contributor.authorWelch, Mitchellen
dc.date.accessioned2017-10-18T16:26:00Z-
dc.date.issued2017-
dc.identifier.citationPeerJ, v.5, p. 1-36en
dc.identifier.issn2167-8359en
dc.identifier.urihttps://hdl.handle.net/1959.11/22021-
dc.description.abstractIn order to understand the distribution and prevalence of Ommatissus lybicus (Hemiptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and detailed information on the environmental, climatic, and agricultural practices are essential. The spatial analytical techniques such as Remote Sensing and Spatial Statistics Tools, can help detect and model spatial links and correlations between the presence, absence and density of O. lybicus in response to climatic, environmental, and human factors. The main objective of this paper is to review remote sensing and relevant analytical techniques that can be applied in mapping and modelling the habitat and population density of O. lybicus. An exhaustive search of related literature revealed that there are very limited studies linking location-based infestation levels of pests like the O. lybicus with climatic, environmental, and human practice related variables. This review also highlights the accumulated knowledge and addresses the gaps in this area of research. Furthermore, it makes recommendations for future studies, and gives suggestions on monitoring and surveillance methods in designing both local and regional level integrated pest management strategies of palm tree and other affected cultivated crops.en
dc.languageenen
dc.publisherPeerJ, Ltden
dc.relation.ispartofPeerJen
dc.titleRemote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera Tropiduchidae) habitat and population densitiesen
dc.typeJournal Articleen
dc.identifier.doi10.7717/peerj.3752en
dcterms.accessRightsGolden
dc.subject.keywordsPhotogrammetry and Remote Sensingen
dc.subject.keywordsInformation and Computing Sciencesen
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
local.contributor.firstnameKhalifa Men
local.contributor.firstnamePaulen
local.contributor.firstnameNigel Ren
local.contributor.firstnameMitchellen
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.for2008089999 Information and Computing Sciences not elsewhere classifieden
local.subject.seo2008970105 Expanding Knowledge in the Environmental Sciencesen
local.subject.seo2008970110 Expanding Knowledge in Technologyen
local.subject.seo2008960413 Control of Plant Pests, Diseases and Exotic Species in Farmland, Arable Cropland and Permanent Cropland Environmentsen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailkalkindi@myune.edu.auen
local.profile.emailwkwan2@une.edu.auen
local.profile.emailnandrew@une.edu.auen
local.profile.emailmwelch8@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20170901-102148en
local.publisher.placeUnited Kingdomen
local.format.startpage1en
local.format.endpage36en
local.identifier.scopusid85028605808en
local.peerreviewedYesen
local.identifier.volume5en
local.access.fulltextYesen
local.contributor.lastnameAl-Kindien
local.contributor.lastnameKwanen
local.contributor.lastnameAndrewen
local.contributor.lastnameWelchen
dc.identifier.staffune-id:kalkindien
dc.identifier.staffune-id:wkwan2en
dc.identifier.staffune-id:nandrewen
dc.identifier.staffune-id:mwelch8en
local.profile.orcid0000-0002-2850-2307en
local.profile.orcid0000-0003-4220-8734en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:22211en
local.identifier.handlehttps://hdl.handle.net/1959.11/22021en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRemote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera Tropiduchidae) habitat and population densitiesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorAl-Kindi, Khalifa Men
local.search.authorKwan, Paulen
local.search.authorAndrew, Nigel Ren
local.search.authorWelch, Mitchellen
local.istranslatedNoen
local.uneassociationUnknownen
local.identifier.wosid000411956100002en
local.year.published2017en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/acb57344-f1b8-4219-a678-76eb2b54e3aaen
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.seo2020280111 Expanding knowledge in the environmental sciencesen
local.subject.seo2020180602 Control of pests, diseases and exotic species in terrestrial environmentsen
dc.notification.token4f6f29e9-2cb0-4c7b-9347-1f10fa187fbeen
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