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dc.contributor.authorHunt, E. Raymond
dc.contributor.authorParker Williams, Amy E.
dc.date.accessioned2020-09-05T07:37:48Z
dc.date.available2020-09-05T07:37:48Z
dc.date.issued2006-09-01
dc.identifier.citationHunt, E. R., & Parker Williams, A. E. (2006). Detection of flowering leafy spurge with satellite multispectral imagery. Rangeland Ecology & Management, 59(5), 494-499.
dc.identifier.issn0022-409X
dc.identifier.doi10.2111/05-216R.1
dc.identifier.urihttp://hdl.handle.net/10150/643099
dc.description.abstractThe distribution and abundance of flowering leafy spurge (Euphorbia esula L.) can be determined with hyperspectral remote sensing, but the availability of hyperspectral sensors is limited. Hence, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and System Pour d’Observation de la Terre (SPOT) 4 imagery were acquired to test the ability of these sensors to detect leafy spurge. The green:red band ratio was the vegetation index with the highest correlations to flowering leafy spurge cover, but the correlations were weak and not useful for predictions. With Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data, the green:red band ratio was also weakly correlated to flowering leafy spurge cover, although the output from a hyperspectral unmixing algorithm was highly correlated with cover using the same data, indicating simple indices have limited power for detecting leafy spurge. Canopy reflectance modeling using the Scattering by Arbitrarily Inclined Leaves (SAIL) model suggests the weak correlations were caused by variations in leaf area index. It is important to develop spectral libraries in order to use canopy reflectance simulation models that can reduce the time and effort of remote sensing analysis for detecting leafy spurge and other invasive weeds.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectEuphorbia esula L.
dc.subjectinvasive species
dc.subjectLandsat 7 ETM+
dc.subjectSPOT
dc.subjecthyperspectral imagery
dc.subjectAVIRIS
dc.subjectvegetation indices
dc.subjectSAIL canopy model
dc.subjectspectral libraries
dc.titleDetection of Flowering Leafy Spurge With Satellite Multispectral Imagery
dc.typetext
dc.typeArticle
dc.identifier.journalRangeland Ecology & Management
dc.description.collectioninformationThe Rangeland Ecology & Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.description.admin-noteLegacy DOIs that must be preserved: 10.2458/azu_jrm_v59i5_hunt
dc.source.volume59
dc.source.issue5
dc.source.beginpage494-499
refterms.dateFOA2020-09-05T07:37:48Z


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