A Soil-Adjusted Vegetation Index

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dc.contributor.author Huete, Alfredo en_US
dc.contributor.editor en_US
dc.date.accessioned 2011-02-07T06:23:28Z
dc.date.available 2011-02-07T06:23:28Z
dc.date.issued 1988 en_US
dc.identifier 2009001129 en_US
dc.identifier.citation Huete Alfredo 1988, 'A Soil-Adjusted Vegetation Index', Elsevier, vol. 25, no. 3, pp. 295-309. en_US
dc.identifier.issn 0034-4257 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13646
dc.description.abstract A transformation technique is presented to minimize soil brightness influences from spectral vegetation indices involving red and near-infrared (NIR) wavelengths. Graphically, the transformation involves a shifting of the origin of reflectance spectra plotted in NIR-red wavelength space to account for first-order soil-vegetation interactions and differential red and NIR flux extinction through vegetated canopies. For cotton (Gossypium hirsutum L. var DPI-70) and range grass (Eragrosticslehmanniana Nees) canopies, underlain with different soil backgrounds, the transformation nearly eliminated soil-induced variations in vegetation indices. A physical basis for the soil-adjusted vegetation index (SAVI) is subsequently presented. The SAVI was found to be an important step toward the establishment of simple ?lobal? that can describe dynamic soil-vegetation systems from remotely sensed data. en_US
dc.language en_US
dc.publisher Elsevier en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/0034-4257(88)90106-X en_US
dc.title A Soil-Adjusted Vegetation Index en_US
dc.parent Remote Sensing Of Environment en_US
dc.journal.volume 25 en_US
dc.journal.number 3 en_US
dc.publocation United States en_US
dc.identifier.startpage 295 en_US
dc.identifier.endpage 309 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.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 en_US
dc.staffid 108636 en_US

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