Geospatial analysis is the most crucial application for assessing the shoreline modification rate on a short-term scale. The present chapter has been exploring the application of GIS for estimating the short-term modification rate of the shoreline along part of the Indian Sundarban. A geospatial tool combined with various quantitative and statistical algorithm-based models is more accurate, reliable, and cost-effective to understand the erosion-accretion rate of the shoreline. To identify the accurate change rate, the chapter follows the Digital Shoreline Analysis System (DSAS) tool, which is an extension of the ArcGIS application. The present chapter identifies the modification rate over the Indian Sundarbans on a short-term scale during 2000–2020, which is also divided into two segments, i.e., 2000–2010 and 2010–2020. Four littoral zones have been generated to complete the analysis with the selected study area. The histogram threshold model has been used here to extract the actual shoreline position using Landsat 8 and Landsat TM satellite images with 30 m resolution. In DSAS, the End Point Rate (EPR) has been applied to calculate the short-term change over the region. A brief short-term change analysis of the last 20 years reveals some drastic changes in the region. In the case of segment 1, the first short-term (2000–2010) analysis shows that there is a lot more area in the low accretion zone, but later it becomes shifted toward the low erosional zone in 2010–2020. The most significant changes have been identified in Bangaduni and Sagar Island. In the case of these two islands, the analysis of the first short-term period found a large number of accretion zones, but later the entire islands changed from a low erosion to a moderate erosion zone. Increased erosion has had a significant impact on the mangroves, as well as the saltwater intrusion over the region, which has also been observed.