Assessment and Forecast of Shoreline Change Using Geo-Spatial Techniques in the Gulf of California

In coastal regions, the combined effects of natural processes, human activity, and climate change have caused shoreline changes that may increase in future. The assessment these is essential for forecasting their future position proper management. this context, Gulf California (GC), Mexico, received little attention no previous studies addressed forecasting. study, researchers assessed historical to forecast long-term positions. To address this, data were obtained from Landsat satellite images years 1981, 1993, 2004, 2010, 2020. Net Shoreline Movement (NSM), Linear Regression Rate (LRR), End Point (EPR), Weighted (WLR) geo-spatial techniques applied estimate rate by using a Digital Analysis System (DSAS) GIS environment. A Kalman filter model was used 2030 2050. results show approximately 72% GC undergoing steady erosion, trend continuing This study has provided valuable comprehensive baseline information on state can guide engineers, managers, policymakers Mexico manage risk. It also provides both large-scale continuous datasets are focused improving models.