eteh1 / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change
The dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and machine learning models. Historical satellite data (Landsat, Sentinel) were analyzed to identify trends in erosion and accretion. Machine learning techniques, including time-series analysis and predictive
☆59Updated last month
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