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dc.contributor.authorKariuki, Patrick C.-
dc.contributor.authorvan der Meer, F. D.-
dc.date.accessioned2014-12-10T07:02:59Z-
dc.date.available2014-12-10T07:02:59Z-
dc.date.issued2003-05-
dc.identifier.citation3 rd EARSeL Workshop on Imaging Spectroscopy, Oberpfaffenhofen, May 13-16 2003en_US
dc.identifier.isbn2908885565-
dc.identifier.urihttp://www.itc.nl/library/Papers_2003/peer_ref_conf/kariuki.pdf-
dc.identifier.urihttp://hdl.handle.net/123456789/394-
dc.description.abstractData acquired from the hyperspectral airborne sensor DAIS-7915 over Antequera in southern Spain was processed to yield a quantitative soil swelling potential map based on three physicochemical soil properties currently used in engineering as measures of soil swelling namely cation exchange capacity (CEC), coefficient of linear extensibility (COLE), and Saturated moisture content (SP). The method adopted was the use of the statistical procedures of cluster analysis and factor analysis to obtain spectral parameters with a potential to classify the soils into classes based on existing classification thresholds of the three properties where laboratory, field and image extracted pixel spectral data analysis were used. Applying this on a pixel-by-pixel basis revealed images that described spatially and qualitatively the surface distribution of these properties and thus swell potential differences among the soils in the area. The results gave an indication of the possible use of airborne spectral data for swell potential estimation.en_US
dc.language.isoenen_US
dc.subjecthysicochemical propertiesen_US
dc.subjectAbsorption feature mappingen_US
dc.subjectDerivative analysisen_US
dc.subjectFactor analysisen_US
dc.subjectClay mineralsen_US
dc.titleSwelling Clay Mapping For Characteri zing Expansive Soils; Results From Laboratory Spectroscopy an d Hysens Dais Analysisen_US
dc.typeArticleen_US
Appears in Collections:School of Agriculture, Environment, Water and Natural Resources Management (CS)

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