| dc.contributor.author | Huete Alfredo | en_US |
| dc.contributor.author | Hua G. | en_US |
| dc.contributor.author | Qi J. | en_US |
| dc.contributor.author | Chehbouni A | en_US |
| dc.contributor.author | Van Leeuwen J | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2011-02-07T06:23:07Z | |
| dc.date.available | 2011-02-07T06:23:07Z | |
| dc.date.issued | 1992 | en_US |
| dc.identifier | 2009001545 | en_US |
| dc.identifier.citation | Huete Alfredo et al. 1992, 'Normalization of Multidirectional Red and NIR Reflectances with the SAVI', Elsevier, vol. 41, no. 2-3, pp. 143-154. | en_US |
| dc.identifier.issn | 0034-4257 | en_US |
| dc.identifier.other | C1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/13603 | |
| dc.description.abstract | Directional reflectance measurements were made over a semidesert gramma (Bouteloua spp.) grassland at various times of the growing season. Azimuthal strings of view angle measurements from + 40° to - 40° were made for various solar zenith angles and soil moisture conditions. The sensitivity of the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI) to these bidirectional measurements was assessed for purposes of improving remote temporal monitoring of vegetation activity. The NDVI response from the grassland canopy was strongly anisotropic about nadir view angles while the SAVI response was symmetric about nadir. This occurred for all sun angles, soil moisture condition, and grass densities. This enabled variations in SAVI-view angle response to be minimized with a cosine function. It is expected that this study will aid in improving the characterization of vegetation temporal activity from Landsat TM, SPOT, AVHRR, and the Earth Observing System MODIS sensor. | en_US |
| dc.language | en_US | |
| dc.publisher | Elsevier | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1016/0034-4257(92)90074-T | en_US |
| dc.title | Normalization of Multidirectional Red and NIR Reflectances with the SAVI | en_US |
| dc.parent | Remote Sensing Of Environment | en_US |
| dc.journal.volume | 41 | en_US |
| dc.journal.number | 2-3 | en_US |
| dc.publocation | United States | en_US |
| dc.identifier.startpage | 143 | en_US |
| dc.identifier.endpage | 154 | 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;0000059076;0000059077;0000058675;0000058783 | 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 | NA | en_US |
| dc.staffid | University of Arizona | en_US |