University ranking systems are some effort to list universities worldwide in to an order based on some predetermined parameters. The percentage of the green area in each university that is captured by satellite can be used as a world university ranking parameter. In this work, green images taken from Google Earth have been processed through a segmentation stage using hsv threshold method. Images from 200 university from various countries on five continents have been analyzed, after segmentation process. University satellite images are taken from Google Earth and 75% of them are captured in 2009 and 2010. The result shows that hsv thresholding method is 21% better than global thresholding method and 59% better than local thresholding method. On execution time analysis, web processing takes 19.5% longer than the processing that is done without web interface.