LINEAR MIXING MODEL APPLIED TO COARSE SPATIAL-RESOLUTION DATA FROM MULTISPECTRAL SATELLITE SENSORS

A linear mixing model was applied to coarse spatial resolution data fr om the NOAA Advanced Very High Resolution Radiometer. The reflective c omponent of the 3.55-3.95 mum channel was used with the two reflective channels 0.58-0.68 mum and 0.725-1.1 mum to run a Constrained Least S quares model to generate fraction images for an area in the west centr al region of Brazil. The fraction images were compared with an unsuper vised classification derived from Landsat TM data acquired on the same day. In addition, the relationship between the fraction images and no rmalized difference vegetation index images show the potential of the unmixing techniques when using coarse spatial resolution data for glob al studies.