Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4697
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dc.contributor.authorIsmail, Ren
dc.contributor.authorOnisimo, Men
dc.contributor.authorKumar, Laliten
dc.contributor.authorBob, Uen
local.source.editorEditor(s): Tsehaie Woldaien
dc.date.accessioned2010-02-19T16:00:00Z-
dc.date.issued2006-
dc.identifier.citationProceedings of the 6th International Conference on Earth Observation & Geoinformation Sciences in Support of Africa’s Development p.104en
dc.identifier.isbn1920017100en
dc.identifier.urihttps://hdl.handle.net/1959.11/4697-
dc.description.abstractSirex noctilio is causing considerable mortality in commercial pine plantations in KwaZulu-Natal, South Africa. The ability to remotely detect variable (e.g. low, medium and high) S.noctilio infestation levels remains crucial for the monitoring of the actual spread of the disease and for the effective deployment of suppression activities. Although high resolution image data can detect and monitor S.noctilio infestations there are no guidelines to the appropriate spatial resolutions that are suitable for monitoring and detection purposes. This study examines the use of variance to analyze Sirex noctilio infestations in an effort to determine an optimal spatial resolution of remotely sensed data for forest health monitoring purposes. High resolution (0.5 m) image data was collected using a four band airborne sensor and infestation levels were derived using the normalized difference vegetation index (NDVI) and Gaussian maximum likelihood classifier. It was determined that the appropriate spatial resolution for the detection and monitoring of Sirex noctilio infestations as estimated by the minimum variance of sub samples narrowly differed based on the level of localized infestations present in the study area. Pixel sizes larger than 2.3 m will not provide adequate information for high infestation levels, while using pixel sizes smaller than the 1.75 m for detecting low to medium infestation levels will yield inappropriate results. The results of this study contribute to establishing the necessary spatial resolution guidelines needed for the operational monitoring and detection of Sirex noctilio.en
dc.languageenen
dc.publisherNational Authority for Remote Sensing and Space Sciences (NARSS) & African Association of Remote Sensing of the Environment (AARSE)en
dc.relation.ispartofProceedings of the 6th International Conference on Earth Observation & Geoinformation Sciences in Support of Africa’s Developmenten
dc.titleExamining the effects of spatial resolution on 'Sirex Noctilio' infestations using NDVI dataen
dc.typeConference Publicationen
dc.relation.conferenceAARSE 2006: 6th AARSE International Conference on Earth Observation & Geoinformation Sciences in Support of Africa's Developmenten
dc.subject.keywordsPhotogrammetry and Remote Sensingen
local.contributor.firstnameRen
local.contributor.firstnameMen
local.contributor.firstnameLaliten
local.contributor.firstnameUen
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.seo2008960414 Control of Plant Pests, Diseases and Exotic Species in Forest and Woodlands Environmentsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaillkumar@une.edu.auen
local.output.categoryE3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:4754en
local.date.conference30th October - 2nd November, 2006en
local.conference.placeCairo, Egypten
local.publisher.placeCairo, Egypten
local.format.endpage104en
local.contributor.lastnameIsmailen
local.contributor.lastnameOnisimoen
local.contributor.lastnameKumaren
local.contributor.lastnameBoben
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:4811en
dc.identifier.academiclevelAcademicen
local.title.maintitleExamining the effects of spatial resolution on 'Sirex Noctilio' infestations using NDVI dataen
local.output.categorydescriptionE3 Extract of Scholarly Conference Publicationen
local.relation.urlhttp://www.eepublishers.co.za/view.php?sid=3760en
local.conference.detailsAARSE 2006: 6th AARSE International Conference on Earth Observation & Geoinformation Sciences in Support of Africa's Development, Cairo, Egypt, 30th October - 2nd November, 2006en
local.search.authorIsmail, Ren
local.search.authorOnisimo, Men
local.search.authorKumar, Laliten
local.search.authorBob, Uen
local.uneassociationUnknownen
local.year.published2006en
local.date.start2006-10-30-
local.date.end2006-11-02-
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