Interpretation of Vegetation Indices Derived from Multi-temporal SPOT Images

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Show simple item record Qi, J en_US Huete, Alfredo en_US Moran, M en_US Chehbouni, A en_US Jackson, R. en_US
dc.contributor.editor en_US 2011-02-07T06:23:44Z 2011-02-07T06:23:44Z 1993 en_US
dc.identifier 2009001448 en_US
dc.identifier.citation Qi J et al. 1993, 'Interpretation of Vegetation Indices Derived from Multi-temporal SPOT Images', Elsevier, vol. 44, no. 1, pp. 89-101. en_US
dc.identifier.issn 0034-4257 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.description.abstract A temporal sequence of 15 SPOT HRV images and low altitude aircraft reflectance data were obtained over soil and cotton fields at the Maricopa Agricultural Center, Arizona from April to October 1989. The SPOT data included different view angles (- 28? - + 24?) while the aircraft data were obtained with a nadir-viewing radiometer equipped with SPOT filters. View angle/direction, atmosphere, and soil influences on individual band and vegetation indices were observed in the SPOT data. The relative magnitude among the three influences was dependent on surface conditions, varied with canopy growth, and was different for red and near-infrared (NIR) reflectances and vegetation indices (VIs). View angle effects were most pronounced in red and NIR reflectance data and were secondary with the use of VIs. View angle variations, and to some extent soil variations, influenced VI responses from partial canopies while relative atmospheric influences became most dominant at higher densities of vegetation. The results suggest that the current compositing routine for temporal vegetation index imagery may not be entirely adequate. en_US
dc.language en_US
dc.publisher Elsevier en_US
dc.relation.isbasedon en_US
dc.title Interpretation of Vegetation Indices Derived from Multi-temporal SPOT Images en_US
dc.parent Remote Sensing Of Environment en_US
dc.journal.volume 44 en_US
dc.journal.number 1 en_US
dc.publocation United States en_US
dc.identifier.startpage 89 en_US
dc.identifier.endpage 101 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 090900 en_US
dc.personcode 0000058674 en_US
dc.personcode 108636 en_US
dc.personcode 0000058730 en_US
dc.personcode 0000058760 en_US
dc.personcode 0000058986 en_US
dc.percentage 100 en_US Geomatic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords NA en_US

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