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Multi-temporal compositing approaches for SPOT-4 VEGETATION

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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.

Document Type: Research Article


Affiliations: 1: Tropical Research Institute, Travessa Conde da Ribeira, 9 1300-142 Lisboa, Portugal 2: Institute for Environment and Sustainability, JRC, EC, 21020 Ispra (VA), Italy

Publication date: August 1, 2003

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