Multi-temporal compositing approaches for SPOT-4 VEGETATION
Five image compositing criteria for Système pour l'Observation de la Terre (SPOT)-4 VEGETATION data were compared. Selecting the pixel that satisfies a given criterion from a monthly set of daily images produces the composite image. The criteria applied are: maximization of Normalized Difference Vegetation Index (NDVI); minimization of the red channel; maximization of NDVI followed by minimization of short-wave infrared (SWIR); selection of the third lowest value of near-infrared (NIR); and selection of the third lowest value of an albedo-like index, designated by 'darkness'. Visual and quantitative analysis indicate that the last approach produces the cleanest images.
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Document Type: Research Article
Publication date: 2003-08-01