 The paper presents a novel method for producing a 10M spatial resolution modified to normalize difference water index, MDNWI, from sentinel to satellite images using pan-sharpening algorithms. For popular pan-sharpening algorithms, including principal component analysis, PCA, intensity hue saturation, IHS, high-pass filter, HPF, and Atru's wavelet transform, ATWT, were applied to the study. The results showed that MNDWIs at the 10M resolution can extract more accurate water body maps than 10MNDWI and 20MNDWI. The ATWT algorithm led to the best 10M water bodies mapping results, although HPF produced more accurate sharpened images and MNDWI images than the other three benchmark pan-sharpening algorithms. However, there is no necessary positive connection between the accuracy of the sharpened MNDWI image and the map level accuracy of the resultant water body maps. This article was authored by Yindu, Yihang Zhang, Fong Ling, and others. We are article.tv, links in the description below.