Assessment of Biophysical Soil Properties Through Spectral Decomposition Techniques

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dc.contributor.author Huete, Alfredo en_US
dc.contributor.author Escadafal, R en_US
dc.contributor.editor en_US
dc.date.accessioned 2011-02-07T06:22:26Z
dc.date.available 2011-02-07T06:22:26Z
dc.date.issued 1991 en_US
dc.identifier 2009001175 en_US
dc.identifier.citation Huete Alfredo and Escadafal R 1991, 'Assessment of Biophysical Soil Properties Through Spectral Decomposition Techniques', Elsevier, vol. 35, no. 2-3, pp. 149-159. en_US
dc.identifier.issn 0034-4257 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13515
dc.description.abstract A mixture model was utilized to extract soil biophysical properties from fine resolution soil spectra (400?900 nm) measured outdoors with a portable spectroradiometer. The objective of this study was to fully characterize soil spectral signatures in the visible and near-infrared in terms of underlying ?basis? curves, key wavelengths, and dimensionality. Through spectral decomposition and mixture modeling, the reflectance response of a wide, genetic range of soil materials were separated into four independent sources of spectral variability (basis curves), which in linear combination were able to reconstitute the experimental data set. Stepwise spectral reconstruction was then utilized to isolate organic carbon and free iron oxide ?basis? curves. This enabled a good ?global? measure of soil properties irrespective of soil type or brightness. We anticipate the EOS-MODIS and HIRIS sensors to provide the spectral data needed for inversion of satellite data into soil surface properties and processes. en_US
dc.language en_US
dc.publisher Elsevier en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/0034-4257(91)90008-T en_US
dc.title Assessment of Biophysical Soil Properties Through Spectral Decomposition Techniques en_US
dc.parent Remote Sensing Of Environment en_US
dc.journal.volume 35 en_US
dc.journal.number 2-3 en_US
dc.publocation United States en_US
dc.identifier.startpage 149 en_US
dc.identifier.endpage 159 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 090900 en_US
dc.personcode 108636 en_US
dc.personcode 0000058723 en_US
dc.percentage 100 en_US
dc.classification.name Geomatic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US


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