 The paper presents a novel method for producing a 10M spatial resolution modified normalized 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 a TRU's wavelet transform, ATWT, were applied in this study. The results showed that MNDWIs at the 10M resolution can extract more accurate water body maps than 10MNDWI and 20MMNDWI. Although HPF can produce more accurate sharpened images and MNDWI images than the other three benchmark pan-sharpening algorithms, the ATWT algorithm leads to the best 10M water bodies mapping results. The paper highlights that 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 Yundu, Ehang Zhang, Feng Ling, and others. We are article.tv, links in the description below.