| 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 | C1 | 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 | 000100 | 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 | University of Arizona | en_US |