Shifting Sands: Assessing Bankline Shift Using an Automated Approach in the Jia Bharali River, India

Bank erosion hazard is a frequent occurrence that poses threats to floodplain ecosystems. This analysis examined changes the Jia Bharali River channel in India using GIS-based Digital Shoreline Analysis System [DSAS]. The Bharali’s future was predicted so as identify most erosion-susceptible zones. rate of bankline movement calculated remotely sensed data collected over period 45 years (1976–2021). results show river’s and deposition rates were higher early than towards later part under analysis. On right left banks river, average shift −9.22 5.8 m/y, respectively, which comparatively high. chosen portion river evenly divided into three zones, A, B, C. positively affected zone A. bank B exhibited bank, indicating moving [eastward] this zone. At same time, being eroded faster left, westward thrust at result demonstrates C would have migration rate. Therefore, these identified susceptible erosion. study evaluates spatio-temporal change sensitive regions where neighboring settlements infrastructure risk changing dynamics. Using actual forecasted bankline, degree accuracy confirmed. automated prediction approach could be useful for management similar environmental settings with tropical high precipitation