Abstract: In order to evaluate different fusion methods in merging pan band and multispectral band for ETM+ image, fusion methods such as color based technique, nominal technique and image transformation were used and tested. For the quality assessment of fusion methods, quantitative analysis was done using the following criteria: standard variation, information entropy, bias index, correlation coefficient. The result showed that there was an obvious improvement of the spatial resolution for all fusion methods. For the spectral fidelity, it was decreasing following such an order: Brovey, IHS, PC and GramSchmit. Brovey kept the maximum spectral information of the original image but the details of spatial information were the lowest. In contrast, IHS had the highest spatial information but the spectral fidelity was not encouraging. PC and GramSchmit were in the middle level concerned with the detail of spatial information and spectral fidelity. Brovey and IHS were the two best fusion methods for this study and the results made significant sense for work related with remote sensing in the study area.