Unmixing of soil types and estimation of soil exposure with simulated hyperspectral imagery

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dc.contributor.authorSummers, D.
dc.contributor.authorLewis, M.
dc.contributor.authorOstendorf, B.
dc.contributor.authorChittleborough, D.
dc.date.issued2011
dc.description.abstractHyperspectral determination of soil types has the potential to become an important addition to the methods used for classification and mapping of soils. In this study laboratory measured spectra of different soils, vegetation and crop residue were combined to simulate hyperspectral remote sensing imagery. The overall aim was to examine the spectral unmixing of these materials under laboratory conditions to better understand the limits to prediction of soil types and determination of cover fractions. Two different methods were utilized to mix spectra of the soil and vegetation and substantial differences were observed in the unmixing results from the different image types, particularly in mixed pixels. Results found pure soils were easily distinguished from each other when not mixed with vegetation, while some mixes of soil and vegetation were confused as pure soil spectra. The accuracy of abundance fractions retrieved in the unmixing process also varied substantially with soil type and vegetation cover.
dc.description.statementofresponsibilityD. Summers, B. Ostendorf and D. Chittleborough
dc.identifier.citationInternational Journal of Remote Sensing, 2011; 32(21):6507-6526
dc.identifier.doi10.1080/01431161.2010.512931
dc.identifier.issn0143-1161
dc.identifier.issn1366-5901
dc.identifier.orcidLewis, M. [0000-0003-1203-6281]
dc.identifier.orcidOstendorf, B. [0000-0002-5868-3567]
dc.identifier.urihttp://hdl.handle.net/2440/69525
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.rightsCopyright status unknown
dc.source.urihttps://doi.org/10.1080/01431161.2010.512931
dc.titleUnmixing of soil types and estimation of soil exposure with simulated hyperspectral imagery
dc.typeJournal article
pubs.publication-statusPublished

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