In many forested environments, individual tree crowns are less than the pixel size of satellite images, resulting in mixed signals returning to the satellite sensor. Sub-pixel analysis has shown promise in producing finer detail from large (> 15m) pixels. This study presents a model for estimating the density of canopy cover in forested wetlands using a method that produces sub-pixel information taken from the 15m spatial resolution Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor, delta(NDVI), and a tasseled cap transformation. The canopy cover is presented as a continuous field varying from 0 to 255m-squared. Ordinary least square regression of a small sample of 20 plots shows an R-squared value equal to 0.68. Further analysis on an expanded data set will be presented, along with future analysis recommendations.