Land cover time profiles from linear mixture models applied to MODIS images

 A multi-temporal extension of Linear Mixture Models (LMM) is investigated. Applied to a full year sequence of MODIS 500 meters resolution images, timevarying Linear Mixture Models provide us with the interannual evolution of “vegetation”, “soil” and “shadow” subpixel components. Reported work is a descriptive analysis of the results and stands as a preliminary study towards automatic multi-temporal LMM based characterization and classification of land cover.