Calculating the vegetation area using satellite imaging through two transformation methods

Abstract

In this paper, we use of NDVI Transformation to determine where a bouts of the green areas (Vegetation) of the region under the imaging, then employ these results as background information to apply the supervised classification for the first principal component (PCA) after making a turn KL-Transformation they contain most of the information in the satellite image of sensor TM, after that is the comparison between the two methods of classification directed by reference to the NDVI and statistical measurements. Finally, we choose the best classification to calculate percentage of the Green areas in the satellite image.