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Article: Hyperspectral characteristics of canopy components and structure for phenological assessment of an invasive weed

TitleHyperspectral characteristics of canopy components and structure for phenological assessment of an invasive weed
Authors
KeywordsInvasive species
Flowering phenological stages
Spectral characteristics
Centaurea solstitialis
Hyperspectral remote sensing
Issue Date2006
Citation
Environmental Monitoring and Assessment, 2006, v. 120, n. 1-3, p. 109-126 How to Cite?
AbstractSpectral reflectance values of four canopy components (stems, buds, opening flowers, and postflowers of yellow starthistle (Centaurea solstitialis)) were measured to describe their spectral characteristics. We then physically combined these canopy components to simulate the flowering stage indicated by accumulated flower ratios (AFR) 10%, 40%, 70%, and 90%, respectively. Spectral dissimilarity and spectral angles were calculated to quantitatively identify spectral differences among canopy components and characteristic patterns of these flowering stages. This study demonstrated the ability of hyperspectral data to characterize canopy components, and identify different flowering stages. Stems had a typical spectral profile of green vegetation, which produced a spectral dissimilarity with three reproduction organs (buds, opening flowers, and postflowers). Quantitative differences between simulated flower stages depended on spectral regions and phenological stages examined. Using full-range canopy spectra, the initial flowering stage could be separated from the early peak, peak, and late flowering stages by three spectral regions, i.e. the blue absorption (around 480 nm) and red absorption (around 650 nm) regions and NIR plateau from 730 nm to 950 nm. For airborne CASI data, only the red absorption region and NIR plateau could be used to identify the flowering stages in the field. This study also revealed that the peak flowering stage was more easily recognized than any of the other three stages. © Springer Science+Business Media, Inc. 2006.
Persistent Identifierhttp://hdl.handle.net/10722/296598
ISSN
2023 Impact Factor: 2.9
2023 SCImago Journal Rankings: 0.643
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGe, Shaokui-
dc.contributor.authorEveritt, James-
dc.contributor.authorCarruthers, Raymond-
dc.contributor.authorGong, Peng-
dc.contributor.authorAnderson, Gerald-
dc.date.accessioned2021-02-25T15:16:14Z-
dc.date.available2021-02-25T15:16:14Z-
dc.date.issued2006-
dc.identifier.citationEnvironmental Monitoring and Assessment, 2006, v. 120, n. 1-3, p. 109-126-
dc.identifier.issn0167-6369-
dc.identifier.urihttp://hdl.handle.net/10722/296598-
dc.description.abstractSpectral reflectance values of four canopy components (stems, buds, opening flowers, and postflowers of yellow starthistle (Centaurea solstitialis)) were measured to describe their spectral characteristics. We then physically combined these canopy components to simulate the flowering stage indicated by accumulated flower ratios (AFR) 10%, 40%, 70%, and 90%, respectively. Spectral dissimilarity and spectral angles were calculated to quantitatively identify spectral differences among canopy components and characteristic patterns of these flowering stages. This study demonstrated the ability of hyperspectral data to characterize canopy components, and identify different flowering stages. Stems had a typical spectral profile of green vegetation, which produced a spectral dissimilarity with three reproduction organs (buds, opening flowers, and postflowers). Quantitative differences between simulated flower stages depended on spectral regions and phenological stages examined. Using full-range canopy spectra, the initial flowering stage could be separated from the early peak, peak, and late flowering stages by three spectral regions, i.e. the blue absorption (around 480 nm) and red absorption (around 650 nm) regions and NIR plateau from 730 nm to 950 nm. For airborne CASI data, only the red absorption region and NIR plateau could be used to identify the flowering stages in the field. This study also revealed that the peak flowering stage was more easily recognized than any of the other three stages. © Springer Science+Business Media, Inc. 2006.-
dc.languageeng-
dc.relation.ispartofEnvironmental Monitoring and Assessment-
dc.subjectInvasive species-
dc.subjectFlowering phenological stages-
dc.subjectSpectral characteristics-
dc.subjectCentaurea solstitialis-
dc.subjectHyperspectral remote sensing-
dc.titleHyperspectral characteristics of canopy components and structure for phenological assessment of an invasive weed-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10661-005-9052-1-
dc.identifier.pmid16773230-
dc.identifier.scopuseid_2-s2.0-33747462836-
dc.identifier.volume120-
dc.identifier.issue1-3-
dc.identifier.spage109-
dc.identifier.epage126-
dc.identifier.eissn1573-2959-
dc.identifier.isiWOS:000239890400007-
dc.identifier.issnl0167-6369-

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