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Abstract
A multi-step methodology is presented to improve the spatial features of low resolution NDVI data series by the use of single-date multispectral higher resolution scenes. The first step consists in the application of the Sequential Maximum Angle Convex Cone (SMACC) algorithm to spectrally decompose the high spatial resolution scene. The abundance images obtained are then used to identify spatially variable NDVI endmembers, which are recombined with the abundance images to produce synthetic NDVI imagery with improved spatial features. A test performed using three Landsat TM and MODIS NDVI images taken over Tuscany (Central Italy) in 2000 supports the potential of the methodology and indicates some limits which are critically discussed. Keywords: NDVI, SMACC, endmembers, synthetic imagery.