 Remote sensing offers several advantages over traditional methods of land-surface water mapping. It is cost-effective, reliable, and capable of making frequent and repeatable observations. Additionally, normalized difference water indexes, NDWIs, calculated from various band combinations, green, near-infrared NIR, or shortwave infrared SWIR, have been successfully applied to LSW mapping. Furthermore, new NDWIs will become available when advanced land imager ALI data are used since the ALI sensor provides one green band, band 4, two NIR bands, bands 6 and 7, and three SWIR bands, bands 8, 9 and 10. As such, selecting the optimal band or combination of bands is critical when ALI data are employed to map LSW using NDWI. To determine which NDWI model performs best, 11 NDWI models based on ALI, thematic mapper, TM, and enhanced thematic mapper plus ETM plus, data were compared at three different study sites in the Yangtze River Basin, China. The contrast method, Otsu method, and confusion matrix were calculated. This article was authored by Binyu Sun, Yuanyao Guo, Hiale Wang, and others. We are article.tv, links in the description below.