An RS image-fusion method of farmland fertility remote sensing

We developed an optimum image-fusion system to improve remote sensing precision of farmland fertility with interpretation-lattice. Specifically, we analyzed the image-fusion system implementation through information measures and modeling, and taken into account that the benefits of image-fusion are maximized and the risk of error farmland fertility recognition with remote sensing is minimized. We also 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. Analyses revealed that 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.