Classification of soils based on engineering indices and spectral data

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dc.contributor.author Kariuki, Patrick C.
dc.contributor.author Van Der Meer, F.
dc.contributor.author Siderius, W.
dc.date.accessioned 2014-12-10T09:04:15Z
dc.date.available 2014-12-10T09:04:15Z
dc.date.issued 2003
dc.identifier.citation International Journal of Remote Sensing Volume 24, Issue 12, 2003 en_US
dc.identifier.issn 0143-1161
dc.identifier.uri http://www.tandfonline.com/doi/pdf/10.1080/0143116031000075927
dc.identifier.uri http://hdl.handle.net/123456789/402
dc.description DOI: 10.1080/0143116031000075927 en_US
dc.description.abstract This study sought to establish diagnostic spectral characteristics in the short-wave infrared (SWIR) that could be used to classify soils in terms of their swelling potential. Three widely accepted soil-swelling indices, i.e. Atterberg limits, cation exchange capacity (CEC) and coefficient of linear extensibility (COLE), were used as controlling parameters to identify these spectral parameters. The results show that several spectral absorption feature parameters, namely position, depth and asymmetry, can be used in the classification on the basis of the discrete thresholds of these indices. The results show potential application of soil spectral characteristics in the construction industry and add a physical basis to the identification of clay mineral types dominant in engineering soils from currently used indices. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.title Classification of soils based on engineering indices and spectral data en_US
dc.type Article en_US


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