An RS Image-Fusion Approach to Farmland Fertility

This paper addressed the problem of improving precision of farmland fertility remote sensing by developing optimum image-fusion system, which analyses the implementation of image-fusion system through interpretation-lattice and takes into account that the benefits of image-fusion are maximized and the risk of error farmland fertility recognition with remote sensing is minimized. We tested our RS image-fusion method with an application about monitoring farmland fertility that is based on several TM and SPOT images and local statistical data. This method is better able to estimate the farmland fertility level in comparison with only one single TM or SPOT image, the main method that was previously applied in this context.